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2020 – today
- 2024
[j7]Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan:
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. Trans. Assoc. Comput. Linguistics 12: 1311-1329 (2024)- [c87]Xiangru Tang, Anni Zou, Zhuosheng Zhang, Ziming Li, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein:
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. ACL (Findings) 2024: 599-621 - [c86]Yilun Zhao, Lyuhao Chen, Arman Cohan, Chen Zhao:
TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning. ACL (1) 2024: 12824-12840 - [c85]Yilun Zhao, Hongjun Liu, Yitao Long, Rui Zhang, Chen Zhao, Arman Cohan:
KnowledgeFMath: A Knowledge-Intensive Math Reasoning Dataset in Finance Domains. ACL (1) 2024: 12841-12858 - [c84]Martin Riddell, Ansong Ni, Arman Cohan:
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models. ACL (1) 2024: 14116-14137 - [c83]Rilyn Han, Jiawen Chen, Yixin Liu, Arman Cohan:
Rethinking Efficient Multilingual Text Summarization Meta-Evaluation. ACL (Findings) 2024: 15739-15746 - [c82]Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. ACL (1) 2024: 15789-15809 - [c81]Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan:
Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation. ACL (Findings) 2024: 16078-16092 - [c80]Yilun Zhao, Yitao Long, Hongjun Liu, Ryo Kamoi, Linyong Nan, Lyuhao Chen, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan:
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents. ACL (1) 2024: 16103-16120 - [c79]Lorenzo Jaime Flores, Arman Cohan:
On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization. EACL (2) 2024: 138-150 - [c78]Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini:
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. EACL (Findings) 2024: 1987-2003 - [c77]Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan:
TESS: Text-to-Text Self-Conditioned Simplex Diffusion. EACL (1) 2024: 2347-2361 - [c76]Linyong Nan, Weining Fang, Aylin Rasteh, Pouya Lahabi, Weijin Zou, Yilun Zhao, Arman Cohan:
OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems. EMNLP (Industry Track) 2024: 1001-1015 - [c75]Yicheng Gao, Gonghan Xu, Zhe Wang, Arman Cohan:
Bayesian Calibration of Win Rate Estimation with LLM Evaluators. EMNLP 2024: 4757-4769 - [c74]Yukun Huang, Yixin Liu, Raghuveer Thirukovalluru, Arman Cohan, Bhuwan Dhingra:
Calibrating Long-form Generations From Large Language Models. EMNLP (Findings) 2024: 13441-13460 - [c73]Yilun Zhao, Yitao Long, Tintin Jiang, Chengye Wang, Weiyuan Chen, Hongjun Liu, Xiangru Tang, Yiming Zhang, Chen Zhao, Arman Cohan:
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents. EMNLP 2024: 14739-14752 - [c72]Chuhan Li, Ziyao Shangguan, Yilun Zhao, Deyuan Li, Yixin Liu, Arman Cohan:
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models. EMNLP (Findings) 2024: 15419-15446 - [c71]Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan:
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. EMNLP (Findings) 2024: 16553-16565 - [c70]Shruti Singh, Nandan Sarkar, Arman Cohan:
SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers. EMNLP 2024: 20908-20923 - [c69]Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. EMNLP 2024: 22017-22031 - [c68]Jacob Dunefsky, Arman Cohan:
Observable Propagation: Uncovering Feature Vectors in Transformers. ICML 2024 - [c67]Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin:
NExT: Teaching Large Language Models to Reason about Code Execution. ICML 2024 - [c66]Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein:
Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? NAACL (Short Papers) 2024: 12-34 - [c65]Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan:
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. NAACL-HLT (Findings) 2024: 4481-4501 - [c64]Linyong Nan, Ellen Zhang, Weijin Zou, Yilun Zhao, Wenfei Zhou, Arman Cohan:
On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering. NAACL-HLT (Findings) 2024: 4556-4579 - [c63]Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan:
On Learning to Summarize with Large Language Models as References. NAACL-HLT 2024: 8647-8664 - [c62]Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan:
Investigating Data Contamination in Modern Benchmarks for Large Language Models. NAACL-HLT 2024: 8706-8719 - [i90]Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia
, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. CoRR abs/2402.00838 (2024) - [i89]Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein:
Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. CoRR abs/2402.04247 (2024) - [i88]Yukun Huang, Yixin Liu, Raghuveer Thirukovalluru, Arman Cohan, Bhuwan Dhingra:
Calibrating Long-form Generations from Large Language Models. CoRR abs/2402.06544 (2024) - [i87]Martin Riddell, Ansong Ni, Arman Cohan:
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models. CoRR abs/2403.04811 (2024) - [i86]Lorenzo Jaime Yu Flores, Arman Cohan:
On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization. CoRR abs/2403.05788 (2024) - [i85]Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini:
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. CoRR abs/2403.15246 (2024) - [i84]Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, Jihyun Janice Ahn, Yilun Zhao, Xiaoxin Lu, Nan Zhang, Yusen Zhang, Ranran Haoran Zhang, Sujeeth Reddy Vummanthala, Salika Dave, Shaobo Qin, Arman Cohan, Wenpeng Yin, Rui Zhang:
Evaluating LLMs at Detecting Errors in LLM Responses. CoRR abs/2404.03602 (2024) - [i83]Chunyuan Deng, Xiangru Tang, Yilun Zhao, Hanming Wang, Haoran Wang, Wangchunshu Zhou, Arman Cohan, Mark Gerstein:
MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise. CoRR abs/2404.04285 (2024) - [i82]Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin:
NExT: Teaching Large Language Models to Reason about Code Execution. CoRR abs/2404.14662 (2024) - [i81]David Wadden, Kejian Shi, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan:
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. CoRR abs/2406.07835 (2024) - [i80]Xiangru Tang, Xingyao Zhang, Yanjun Shao, Jie Wu, Yilun Zhao, Arman Cohan, Ming Gong, Dongmei Zhang, Mark Gerstein:
Step-Back Profiling: Distilling User History for Personalized Scientific Writing. CoRR abs/2406.14275 (2024) - [i79]Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan:
Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation. CoRR abs/2406.14644 (2024) - [i78]Yixin Liu, Pengfei Liu, Arman Cohan:
Understanding Reference Policies in Direct Preference Optimization. CoRR abs/2407.13709 (2024) - [i77]Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo:
RouterRetriever: Exploring the Benefits of Routing over Multiple Expert Embedding Models. CoRR abs/2409.02685 (2024) - [i76]Xuyuan Xiong, Simeng Han, Ziyue Zhou, Arman Cohan:
MetaMath: Integrating Natural Language and Code for Enhanced Mathematical Reasoning in Large Language Models. CoRR abs/2409.19381 (2024) - [i75]Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan:
ReIFE: Re-evaluating Instruction-Following Evaluation. CoRR abs/2410.07069 (2024) - [i74]Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan:
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. CoRR abs/2410.09207 (2024) - [i73]Yixin Liu, Argyris Oikonomou, Weiqiang Zheng, Yang Cai, Arman Cohan:
COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences. CoRR abs/2410.23223 (2024) - [i72]Ziyao Shangguan, Chuhan Li, Yuxuan Ding, Yanan Zheng, Yilun Zhao, Tesca Fitzgerald, Arman Cohan:
TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models. CoRR abs/2410.23266 (2024) - [i71]Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, Idan Szpektor, Arman Cohan:
MDCure: A Scalable Pipeline for Multi-Document Instruction-Following. CoRR abs/2410.23463 (2024) - 2023
- [c61]Yilun Zhao, Boyu Mi, Zhenting Qi, Linyong Nan, Minghao Guo, Arman Cohan, Dragomir Radev:
OpenRT: An Open-source Framework for Reasoning Over Tabular Data. ACL (demo) 2023: 336-347 - [c60]Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan:
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. ACL (1) 2023: 1970-1989 - [c59]Xiangru Tang, Arman Cohan, Mark Gerstein:
Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning. ClinicalNLP@ACL 2023: 48-58 - [c58]Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo:
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. EACL 2023: 1642-1661 - [c57]Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey:
Embedding Recycling for Language Models. EACL (Findings) 2023: 1888-1908 - [c56]Yilun Zhao, Haowei Zhang, Shengyun Si, Linyong Nan, Xiangru Tang, Arman Cohan:
Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios. EMNLP (Industry Track) 2023: 160-175 - [c55]Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan:
QTSumm: Query-Focused Summarization over Tabular Data. EMNLP 2023: 1157-1172 - [c54]Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo:
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents. EMNLP 2023: 3194-3212 - [c53]Lorenzo Jaime Yu Flores, Heyuan Huang, Kejian Shi, Sophie Chheang, Arman Cohan:
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding. EMNLP (Findings) 2023: 4859-4873 - [c52]Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman:
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. EMNLP 2023: 5548-5566 - [c51]John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan:
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval. EMNLP (Findings) 2023: 8177-8199 - [c50]Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev:
Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. EMNLP (Findings) 2023: 14935-14956 - [i70]Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld:
The Semantic Scholar Open Data Platform. CoRR abs/2301.10140 (2023) - [i69]Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo:
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. CoRR abs/2301.13298 (2023) - [i68]Rabeeh Karimi Mahabadi, Jaesung Tae, Hamish Ivison, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan:
TESS: Text-to-Text Self-Conditioned Simplex Diffusion. CoRR abs/2305.08379 (2023) - [i67]Revanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi:
Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval. CoRR abs/2305.11744 (2023) - [i66]Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev:
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. CoRR abs/2305.12586 (2023) - [i65]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan:
On Learning to Summarize with Large Language Models as References. CoRR abs/2305.14239 (2023) - [i64]Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Xiangru Tang, Yumo Xu, Arman Cohan, Dragomir Radev:
QTSumm: A New Benchmark for Query-Focused Table Summarization. CoRR abs/2305.14303 (2023) - [i63]Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo:
A Controllable QA-based Framework for Decontextualization. CoRR abs/2305.14772 (2023) - [i62]Yilun Zhao, Haowei Zhang, Shengyun Si, Linyong Nan, Xiangru Tang, Arman Cohan:
Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers. CoRR abs/2305.14987 (2023) - [i61]Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan:
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. CoRR abs/2305.15387 (2023) - [i60]Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini:
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. CoRR abs/2309.08541 (2023) - [i59]Yijie Zhou, Kejian Shi, Wencai Zhang, Yixin Liu, Yilun Zhao, Arman Cohan:
ODSum: New Benchmarks for Open Domain Multi-Document Summarization. CoRR abs/2309.08960 (2023) - [i58]Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein:
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? CoRR abs/2309.08963 (2023) - [i57]Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan:
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR abs/2309.17446 (2023) - [i56]Lorenzo Jaime Yu Flores, Heyuan Huang, Kejian Shi, Sophie Chheang, Arman Cohan:
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding. CoRR abs/2310.11191 (2023) - [i55]Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan:
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. CoRR abs/2311.09184 (2023) - [i54]Linyong Nan, Ellen Zhang, Weijin Zou, Yilun Zhao, Wenfei Zhou, Arman Cohan:
On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering. CoRR abs/2311.09721 (2023) - [i53]Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo:
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders. CoRR abs/2311.09765 (2023) - [i52]Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan:
Investigating Data Contamination in Modern Benchmarks for Large Language Models. CoRR abs/2311.09783 (2023) - [i51]Yilun Zhao, Hongjun Liu, Yitao Long, Rui Zhang, Chen Zhao, Arman Cohan:
KnowledgeMath: Knowledge-Intensive Math Word Problem Solving in Finance Domains. CoRR abs/2311.09797 (2023) - [i50]Yilun Zhao, Yitao Long, Hongjun Liu, Linyong Nan, Lyuhao Chen, Ryo Kamoi, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan:
DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data. CoRR abs/2311.09805 (2023) - [i49]Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein:
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. CoRR abs/2311.09835 (2023) - [i48]Xiangru Tang, Anni Zou, Zhuosheng Zhang, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein:
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. CoRR abs/2311.10537 (2023) - [i47]Jacob Dunefsky, Arman Cohan:
Observable Propagation: A Data-Efficient Approach to Uncover Feature Vectors in Transformers. CoRR abs/2312.16291 (2023) - 2022
- [j6]Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan:
ABNIRML: Analyzing the Behavior of Neural IR Models. Trans. Assoc. Comput. Linguistics 10: 224-239 (2022) - [c49]Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh:
Zero- and Few-Shot NLP with Pretrained Language Models. ACL (tutorial) 2022: 32-37 - [c48]Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang:
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. ACL (1) 2022: 2448-2460 - [c47]Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan:
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. ACL (1) 2022: 5245-5263 - [c46]Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan:
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires. ACL (1) 2022: 8446-8459 - [c45]Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang:
Overview of the Third Workshop on Scholarly Document Processing. SDP@COLING 2022: 1-6 - [c44]Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer:
Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP). SDP@COLING 2022: 263-267 - [c43]David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi:
SciFact-Open: Towards open-domain scientific claim verification. EMNLP (Findings) 2022: 4719-4734 - [c42]David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi:
MultiVerS: Improving scientific claim verification with weak supervision and full-document context. NAACL-HLT (Findings) 2022: 61-76 - [c41]Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, Arman Cohan, David Jurgens, Kyle Lo:
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. NAACL-HLT 2022: 1875-1889 - [c40]Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan:
Long Context Question Answering via Supervised Contrastive Learning. NAACL-HLT 2022: 2872-2879 - [c39]Sheshera Mysore, Arman Cohan, Tom Hope:
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. NAACL-HLT 2022: 4453-4470 - [e1]Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang:
Proceedings of the Third Workshop on Scholarly Document Processing, SDP@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022. Association for Computational Linguistics 2022 [contents] - [i46]Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang:
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. CoRR abs/2203.12990 (2022) - [i45]Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan:
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires. CoRR abs/2204.10432 (2022) - [i44]Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey:
Embedding Recycling for Language Models. CoRR abs/2207.04993 (2022) - [i43]David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi:
SciFact-Open: Towards open-domain scientific claim verification. CoRR abs/2210.13777 (2022) - [i42]Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman:
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. CoRR abs/2211.13308 (2022) - [i41]John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan:
Exploring the Challenges of Open Domain Multi-Document Summarization. CoRR abs/2212.10526 (2022) - 2021
- [j5]Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh:
ParsiNLU: A Suite of Language Understanding Challenges for Persian. Trans. Assoc. Comput. Linguistics 9: 1147-1162 (2021) - [c38]Sajad Sotudeh, Arman Cohan, Nazli Goharian:
On Generating Extended Summaries of Long Documents. SDU@AAAI 2021 - [c37]Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan:
CDLM: Cross-Document Language Modeling. EMNLP (Findings) 2021: 2648-2662 - [c36]Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner:
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. NAACL-HLT 2021: 4599-4610 - [c35]Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy:
FLEX: Unifying Evaluation for Few-Shot NLP. NeurIPS 2021: 15787-15800 - [c34]Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian:
Simplified Data Wrangling with ir_datasets. SIGIR 2021: 2429-2436 - [i40]Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan:
Cross-Document Language Modeling. CoRR abs/2101.00406 (2021) - [i39]Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian:
Simplified Data Wrangling with ir_datasets. CoRR abs/2103.02280 (2021) - [i38]Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner:
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. CoRR abs/2105.03011 (2021) - [i37]Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, David Jurgens, Arman Cohan, Kyle Lo:
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. CoRR abs/2107.00414 (2021) - [i36]Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy:
FLEX: Unifying Evaluation for Few-Shot NLP. CoRR abs/2107.07170 (2021) - [i35]Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan:
PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. CoRR abs/2110.08499 (2021) - [i34]Sheshera Mysore, Arman Cohan, Tom Hope:
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. CoRR abs/2111.08366 (2021) - [i33]David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi:
LongChecker: Improving scientific claim verification by modeling full-abstract context. CoRR abs/2112.01640 (2021) - [i32]Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan:
Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering. CoRR abs/2112.08777 (2021) - 2020
- [c33]Lucy Lu Wang, Oyvind Tafjord, Arman Cohan, Sarthak Jain, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar:
SUPP.AI: finding evidence for supplement-drug interactions. ACL (demo) 2020: 362-371 - [c32]Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld:
SPECTER: Document-level Representation Learning using Citation-informed Transformers. ACL 2020: 2270-2282 - [c31]Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice:
Ranking Significant Discrepancies in Clinical Reports. ECIR (2) 2020: 238-245 - [c30]Sajad Sotudeh Gharebagh, Arman Cohan, Nazli Goharian:
GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents. SDP@EMNLP 2020: 356-361 - [c29]Sean MacAvaney, Arman Cohan, Nazli Goharian:
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search. EMNLP (1) 2020: 4171-4179 - [c28]Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld:
TLDR: Extreme Summarization of Scientific Documents. EMNLP (Findings) 2020: 4766-4777 - [c27]David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi:
Fact or Fiction: Verifying Scientific Claims. EMNLP (1) 2020: 7534-7550 - [i31]Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice:
Ranking Significant Discrepancies in Clinical Reports. CoRR abs/2001.06674 (2020) - [i30]Iz Beltagy, Matthew E. Peters, Arman Cohan:
Longformer: The Long-Document Transformer. CoRR abs/2004.05150 (2020) - [i29]Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld:
SPECTER: Document-level Representation Learning using Citation-informed Transformers. CoRR abs/2004.07180 (2020) - [i28]David Wadden, Kyle Lo, Lucy Lu Wang, Shanchuan Lin, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi:
Fact or Fiction: Verifying Scientific Claims. CoRR abs/2004.14974 (2020) - [i27]Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld:
TLDR: Extreme Summarization of Scientific Documents. CoRR abs/2004.15011 (2020) - [i26]Sean MacAvaney, Arman Cohan, Nazli Goharian:
SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search. CoRR abs/2005.02365 (2020) - [i25]Sean MacAvaney, Arman Cohan, Nazli Goharian:
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search. CoRR abs/2010.05987 (2020) - [i24]Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan:
ABNIRML: Analyzing the Behavior of Neural IR Models. CoRR abs/2011.00696 (2020) - [i23]Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh:
ParsiNLU: A Suite of Language Understanding Challenges for Persian. CoRR abs/2012.06154 (2020) - [i22]Sajad Sotudeh, Arman Cohan, Nazli Goharian:
On Generating Extended Summaries of Long Documents. CoRR abs/2012.14136 (2020)
2010 – 2019
- 2019
- [j4]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming low-utility facets for complex answer retrieval. Inf. Retr. J. 22(3-4): 395-418 (2019) - [c26]Iz Beltagy, Kyle Lo, Arman Cohan:
SciBERT: A Pretrained Language Model for Scientific Text. EMNLP/IJCNLP (1) 2019: 3613-3618 - [c25]Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Daniel S. Weld:
Pretrained Language Models for Sequential Sentence Classification. EMNLP/IJCNLP (1) 2019: 3691-3697 - [c24]Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field Cady:
Structural Scaffolds for Citation Intent Classification in Scientific Publications. NAACL-HLT (1) 2019: 3586-3596 - [c23]Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish A. Talati, Ross W. Filice:
Ontology-Aware Clinical Abstractive Summarization. SIGIR 2019: 1013-1016 - [c22]Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian:
CEDR: Contextualized Embeddings for Document Ranking. SIGIR 2019: 1101-1104 - [i21]Iz Beltagy, Arman Cohan, Kyle Lo:
SciBERT: Pretrained Contextualized Embeddings for Scientific Text. CoRR abs/1903.10676 (2019) - [i20]Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field Cady:
Structural Scaffolds for Citation Intent Classification in Scientific Publications. CoRR abs/1904.01608 (2019) - [i19]Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian:
CEDR: Contextualized Embeddings for Document Ranking. CoRR abs/1904.07094 (2019) - [i18]Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish A. Talati, Ross W. Filice:
Ontology-Aware Clinical Abstractive Summarization. CoRR abs/1905.05818 (2019) - [i17]Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Daniel S. Weld:
Pretrained Language Models for Sequential Sentence Classification. CoRR abs/1909.04054 (2019) - [i16]Lucy Lu Wang, Oyvind Tafjord, Sarthak Jain, Arman Cohan, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar:
Extracting evidence of supplement-drug interactions from literature. CoRR abs/1909.08135 (2019) - 2018
- [j3]Arman Cohan, Nazli Goharian:
Scientific document summarization via citation contextualization and scientific discourse. Int. J. Digit. Libr. 19(2-3): 287-303 (2018) - [j2]Arman Cohan:
Text Summarization and Categorization for Scientific and Health-Related Data. SIGIR Forum 52(2): 169 (2018) - [c21]Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian:
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. CLPsych@NAACL-HTL 2018: 168-173 - [c20]Luca Soldaini, Timothy Walsh, Arman Cohan, Julien Han, Nazli Goharian:
Helping or Hurting? Predicting Changes in Users' Risk of Self-Harm Through Online Community Interactions. CLPsych@NAACL-HTL 2018: 194-203 - [c19]Ziling Fan, Luca Soldaini, Arman Cohan, Nazli Goharian:
Relation Extraction for Protein-protein Interactions Affected by Mutations. BCB 2018: 506-507 - [c18]Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian:
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. COLING 2018: 1485-1497 - [c17]Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian:
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents. NAACL-HLT (2) 2018: 615-621 - [c16]Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian:
GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification. SemEval@NAACL-HLT 2018: 831-835 - [c15]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming Low-Utility Facets for Complex Answer Retrieval. ProfS/KG4IR/Data:Search@SIGIR 2018: 46-47 - [c14]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Characterizing Question Facets for Complex Answer Retrieval. SIGIR 2018: 1205-1208 - [i15]Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian:
GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification. CoRR abs/1804.05408 (2018) - [i14]Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian:
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents. CoRR abs/1804.05685 (2018) - [i13]Luca Soldaini, Timothy Walsh, Arman Cohan, Julien Han, Nazli Goharian:
Helping or Hurting? Predicting Changes in Users' Risk of Self-Harm Through Online Community Interactions. CoRR abs/1804.07253 (2018) - [i12]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Characterizing Question Facets for Complex Answer Retrieval. CoRR abs/1805.00791 (2018) - [i11]Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian:
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. CoRR abs/1806.05258 (2018) - [i10]Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian:
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. CoRR abs/1806.07916 (2018) - [i9]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming low-utility facets for complex answer retrieval. CoRR abs/1811.08772 (2018) - 2017
- [j1]Arman Cohan, Sydney Young, Andrew Yates, Nazli Goharian:
Triaging content severity in online mental health forums. J. Assoc. Inf. Sci. Technol. 68(11): 2675-2689 (2017) - [c13]Arman Cohan, Allan Fong, Raj M. Ratwani, Nazli Goharian:
Identifying Harm Events in Clinical Care through Medical Narratives. BCB 2017: 52-59 - [c12]Arman Cohan, Allan Fong, Nazli Goharian, Raj M. Ratwani:
A Neural Attention Model for Categorizing Patient Safety Events. ECIR 2017: 720-726 - [c11]Andrew Yates, Arman Cohan, Nazli Goharian:
Depression and Self-Harm Risk Assessment in Online Forums. EMNLP 2017: 2968-2978 - [c10]Sean MacAvaney, Arman Cohan, Nazli Goharian:
GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction. SemEval@ACL 2017: 1024-1029 - [c9]Arman Cohan, Nazli Goharian:
Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge. SIGIR 2017: 1133-1136 - [i8]Arman Cohan, Sydney Young, Andrew Yates, Nazli Goharian:
Triaging Content Severity in Online Mental Health Forums. CoRR abs/1702.06875 (2017) - [i7]Arman Cohan, Allan Fong, Nazli Goharian, Raj M. Ratwani:
A Neural Attention Model for Categorizing Patient Safety Events. CoRR abs/1702.07092 (2017) - [i6]Arman Cohan, Nazli Goharian:
Scientific Article Summarization Using Citation-Context and Article's Discourse Structure. CoRR abs/1704.06619 (2017) - [i5]Arman Cohan, Nazli Goharian:
Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge. CoRR abs/1705.08063 (2017) - [i4]Arman Cohan, Nazli Goharian:
Scientific document summarization via citation contextualization and scientific discourse. CoRR abs/1706.03449 (2017) - [i3]Arman Cohan, Allan Fong, Raj M. Ratwani, Nazli Goharian:
Identifying Harm Events in Clinical Care through Medical Narratives. CoRR abs/1708.04681 (2017) - [i2]Andrew Yates, Arman Cohan, Nazli Goharian:
Depression and Self-Harm Risk Assessment in Online Forums. CoRR abs/1709.01848 (2017) - 2016
- [c8]Arman Cohan, Nazli Goharian:
Revisiting Summarization Evaluation for Scientific Articles. LREC 2016 - [c7]Arman Cohan, Sydney Young, Nazli Goharian:
Triaging Mental Health Forum Posts. CLPsych@HLT-NAACL 2016: 143-147 - [c6]Arman Cohan, Kevin Meurer, Nazli Goharian:
GUIR at SemEval-2016 task 12: Temporal Information Processing for Clinical Narratives. SemEval@NAACL-HLT 2016: 1248-1255 - [i1]Arman Cohan, Nazli Goharian:
Revisiting Summarization Evaluation for Scientific Articles. CoRR abs/1604.00400 (2016) - 2015
- [c5]Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder:
Retrieving Medical Literature for Clinical Decision Support. ECIR 2015: 538-549 - [c4]Arman Cohan, Nazli Goharian:
Scientific Article Summarization Using Citation-Context and Article's Discourse Structure. EMNLP 2015: 390-400 - [c3]Arman Cohan, Luca Soldaini, Nazli Goharian:
Matching Citation Text and Cited Spans in Biomedical Literature: a Search-Oriented Approach. HLT-NAACL 2015: 1042-1048 - 2014
- [c2]Arman Cohan, Luca Soldaini, Andrew Yates, Nazli Goharian, Ophir Frieder:
On clinical decision support. BCB 2014: 651-652 - [c1]Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder:
Query Reformulation for Clinical Decision Support Search. TREC 2014
Coauthor Index
[j6] [c38] [c34] [i39] [c31] [c30] [c29] [i31] [i26] [i25] [i24] [i22] [j4] [c23] [c22] [i19] [i18] [j3] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [j1] [c13] [c12] [c11] [c10] [c9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [c8] [c7] [c6] [i1] [c5] [c4] [c3] [c2] [c1]
Dragomir R. Radev
aka: Dragomir Radev
aka: Dragomir Radev
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