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- affiliation: Indian Institute of Technology Delhi, India
- affiliation: University of Washington, Seattle, WA, USA
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2020 – today
- 2024
[j15]Kevin Leyton-Brown, Mausam, Yatin Nandwani
, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu:
Matching papers and reviewers at large conferences. Artif. Intell. 331: 104119 (2024)- [c124]Jigyasa Gupta, Shreya Sharma, Shreshth Tuli, Rohan Paul, Mausam:
GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following. AAAI 2024: 20113-20122 - [c123]Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam:
DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion. ACL (Short Papers) 2024: 205-216 - [c122]Prayushi Faldu, Indrajit Bhattacharya, Mausam:
RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable Questions. ACL (1) 2024: 6643-6656 - [c121]Mayur Patidar, Riya Sawhney, Avinash Kumar Singh, Biswajit Chatterjee, Mausam, Indrajit Bhattacharya:
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning. ACL (1) 2024: 9147-9165 - [c120]Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems. EMNLP 2024: 5596-5612 - [c119]Vipul Kumar Rathore, Aniruddha Deb, Ankish Kumar Chandresh, Parag Singla, Mausam:
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models. EMNLP (Findings) 2024: 15081-15102 - [c118]Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations. EMNLP 2024: 16843-16877 - [c117]Pranjal Aggarwal, Aman Madaan, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Manaal Faruqui, Mausam:
AutoMix: Automatically Mixing Language Models. NeurIPS 2024 - [i71]Chinmay Mittal, Krishna Kartik, Mausam, Parag Singla:
PuzzleBench: Can LLMs Solve Challenging First-Order Combinatorial Reasoning Problems? CoRR abs/2402.02611 (2024) - [i70]Prayushi Faldu, Indrajit Bhattacharya, Mausam:
RETINAQA : A Knowledge Base Question Answering Model Robust to both Answerable and Unanswerable Questions. CoRR abs/2403.10849 (2024) - [i69]Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych:
What Can Natural Language Processing Do for Peer Review? CoRR abs/2405.06563 (2024) - [i68]D. Subhalingam, Keshav Kolluru, Mausam, Saurabh Singal:
GenToC: Leveraging Partially-Labeled Data for Product Attribute-Value Identification. CoRR abs/2405.10918 (2024) - [i67]Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems. CoRR abs/2405.15585 (2024) - [i66]Riya Sawhney, Indrajit Bhattacharya, Mausam:
Robust Few-shot Transfer Learning for Knowledge Base Question Answering with Unanswerable Questions. CoRR abs/2406.14313 (2024) - [i65]Vipul Rathore, Aniruddha Deb, Ankish Chandresh, Parag Singla, Mausam:
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models. CoRR abs/2406.18880 (2024) - [i64]Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam:
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. CoRR abs/2407.01994 (2024) - [i63]Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations. CoRR abs/2410.14204 (2024) - [i62]Aayush Kumar Tyagi, Vaibhav Mishra, Ashok Tiwari, Lalita Mehra, Prasenjit Das, Govind Makharia, Prathosh AP, Mausam:
MeasureNet: Measurement Based Celiac Disease Identification. CoRR abs/2412.01182 (2024) - [i61]Vaibhav Mishra, Somaditya Singh, Dhruv Ahlawat, Mohd Zaki, Vaibhav Bihani, Hargun Singh Grover, Biswajit Mishra, Santiago Miret, Mausam, N. M. Anoop Krishnan:
Foundational Large Language Models for Materials Research. CoRR abs/2412.09560 (2024) - 2023
- [c116]Shubham Mittal, Keshav Kolluru, Soumen Chakrabarti, Mausam:
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark. ACL (2) 2023: 201-214 - [c115]Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam:
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. ACL (2) 2023: 256-269 - [c114]Mayur Patidar, Prayushi Faldu, Avinash Kumar Singh, Lovekesh Vig, Indrajit Bhattacharya, Mausam:
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. ACL (1) 2023: 10341-10357 - [c113]Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies. ACL (Findings) 2023: 11708-11730 - [c112]Tanishq Gupta, Mohd Zaki, Devanshi Khatsuriya, Kausik Hira, N. M. Anoop Krishnan, Mausam:
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. ACL (1) 2023: 13465-13483 - [c111]Harsh Agrawal, Aditya Mishra, Manish Gupta, Mausam:
Multimodal Persona Based Generation of Comic Dialogs. ACL (1) 2023: 14150-14164 - [c110]Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam:
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting. CVPR 2023: 23913-23923 - [c109]Ishaan Singh, Navdeep Kaur, Garima Gaur, Mausam:
NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs. EMNLP 2023: 4497-4516 - [c108]Vipul Rathore, Rajdeep Dhingra, Parag Singla, Mausam:
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters. EMNLP 2023: 6969-6987 - [c107]Daman Arora, Himanshu Gaurav Singh, Mausam:
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models. EMNLP 2023: 7527-7543 - [c106]Aman Madaan Pranjal Aggarwal, Yiming Yang, Mausam:
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs. EMNLP 2023: 12375-12396 - [c105]Vishal Sharma, Daman Arora, Mausam, Parag Singla:
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs. UAI 2023: 1921-1931 - [p1]Yatin Nandwani, Mausam, Parag Singla:
Neuro-Symbolic Architectures for Combinatorial Problems in Structured Output Spaces. Compendium of Neurosymbolic Artificial Intelligence 2023: 430-459 - [i60]Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam:
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting. CoRR abs/2304.00741 (2023) - [i59]Ishaan Singh, Navdeep Kaur, Garima Gaur, Mausam:
NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs. CoRR abs/2305.11301 (2023) - [i58]Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam:
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs. CoRR abs/2305.11860 (2023) - [i57]Daman Arora, Himanshu Gaurav Singh, Mausam:
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models. CoRR abs/2305.15074 (2023) - [i56]Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies. CoRR abs/2305.16697 (2023) - [i55]Mohd Zaki, Jayadeva, Mausam, N. M. Anoop Krishnan:
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models. CoRR abs/2308.09115 (2023) - [i54]Kausik Hira, Mohd Zaki, Dhruvil Sheth, Mausam, N. M. Anoop Krishnan:
Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction. CoRR abs/2310.08383 (2023) - [i53]Anand Brahmbhatt, Vipul Rathore, Mausam, Parag Singla:
Towards Fair and Calibrated Models. CoRR abs/2310.10399 (2023) - [i52]Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui:
AutoMix: Automatically Mixing Language Models. CoRR abs/2310.12963 (2023) - [i51]Vipul Rathore, Rajdeep Dhingra, Parag Singla, Mausam:
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters. CoRR abs/2310.16393 (2023) - [i50]Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam:
Ensembling Textual and Structure-Based Models for Knowledge Graph Completion. CoRR abs/2311.03780 (2023) - [i49]Harshvardhan Srivastava, Kanav Pruthi, Soumen Chakrabarti, Mausam:
CoRE-CoG: Conversational Recommendation of Entities using Constrained Generation. CoRR abs/2311.08511 (2023) - [i48]Mayur Patidar, Avinash Kumar Singh, Riya Sawhney, Indrajit Bhattacharya, Mausam:
Combining Transfer Learning with In-context Learning using Blackbox LLMs for Zero-shot Knowledge Base Question Answering. CoRR abs/2311.08894 (2023) - [i47]Aayush Kumar Tyagi, Vaibhav Mishra, Prathosh A. P., Mausam:
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images. CoRR abs/2311.17960 (2023) - 2022
- [j14]Kevin Leyton-Brown, Mausam, Qiang Yang:
The New Faculty Highlights Program at AAAI-21. AI Mag. 43(4): 343 (2022) - [j13]Hemangee Kalpesh Kapoor, Mausam, Venkatesh Raman:
Welcome back! Commun. ACM 65(11): 40-42 (2022) - [j12]Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam:
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis. J. Artif. Intell. Res. 75: 1595-1631 (2022) - [c104]Vipul Rathore, Kartikeya Badola, Parag Singla, Mausam:
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction. ACL (2) 2022: 340-354 - [c103]Abhyuday Bhartiya, Kartikeya Badola, Mausam:
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction. ACL (2) 2022: 849-863 - [c102]Keshav Kolluru, Muqeeth Mohammed, Shubham Mittal, Soumen Chakrabarti, Mausam:
Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction. ACL (1) 2022: 2502-2517 - [c101]Keshav Kolluru, Gabriel Stanovsky, Mausam:
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds. EMNLP 2022: 10407-10420 - [c100]Dinesh Raghu, Suraj Joshi, Sachindra Joshi, Mausam:
Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation. EMNLP 2022: 10763-10774 - [c99]Soumen Chakrabarti, Harkanwar Singh, Shubham Lohiya, Prachi Jain, Mausam:
Joint Completion and Alignment of Multilingual Knowledge Graphs. EMNLP 2022: 11922-11938 - [c98]Yatin Nandwani, Vidit Jain, Mausam, Parag Singla:
Neural Models for Output-Space Invariance in Combinatorial Problems. ICLR 2022 - [c97]Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla:
A Solver-free Framework for Scalable Learning in Neural ILP Architectures. NeurIPS 2022 - [c96]Vishal Sharma, Daman Arora, Florian Geißer, Mausam, Parag Singla:
SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs. UAI 2022: 1771-1781 - [d1]Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam:
MatSciBERT. Zenodo, 2022
- [i46]Yatin Nandwani, Vidit Jain, Mausam, Parag Singla:
Neural Models for Output-Space Invariance in Combinatorial Problems. CoRR abs/2202.03229 (2022) - [i45]Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu:
Matching Papers and Reviewers at Large Conferences. CoRR abs/2202.12273 (2022) - [i44]Shreya Sharma, Jigyasa Gupta, Shreshth Tuli, Rohan Paul, Mausam:
GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction Following. CoRR abs/2205.07081 (2022) - [i43]Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam:
ToolTango: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis. CoRR abs/2206.09141 (2022) - [i42]Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam:
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. CoRR abs/2207.01079 (2022) - [i41]Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla:
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures. CoRR abs/2210.09082 (2022) - [i40]Keshav Kolluru, Gabriel Stanovsky, Mausam:
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds. CoRR abs/2210.13039 (2022) - [i39]Shubham Mittal, Keshav Kolluru, Soumen Chakrabarti, Mausam:
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark. CoRR abs/2211.06959 (2022) - [i38]Mayur Patidar, Avinash Kumar Singh, Prayushi Faldu, Lovekesh Vig, Indrajit Bhattacharya, Mausam:
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. CoRR abs/2212.10189 (2022) - 2021
- [j11]Danish Contractor, Barun Patra, Mausam, Parag Singla:
Constrained BERT BiLSTM CRF for understanding multi-sentence entity-seeking questions. Nat. Lang. Eng. 27(1): 65-87 (2021) - [j10]Dinesh Raghu, Nikhil Gupta, Mausam:
Unsupervised Learning of KB Queries in Task-Oriented Dialogs. Trans. Assoc. Comput. Linguistics 9: 374-390 (2021) - [c95]Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi:
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. ACL/IJCNLP (Findings) 2021: 5051-5061 - [c94]Vaibhav Adlakha, Parth Shah, Srikanta J. Bedathur, Mausam:
Regex Queries over Incomplete Knowledge Bases. AKBC 2021 - [c93]Harkanwar Singh, Soumen Chakrabarti, Prachi Jain, Sharod Roy Choudhury, Mausam:
Multilingual Knowledge Graph Completion With Joint Relation and Entity Alignment. AKBC 2021 - [c92]Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam:
Answering POI-recommendation Questions using Tourism Reviews. CIKM 2021: 281-291 - [c91]Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam:
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. EMNLP (1) 2021: 4348-4366 - [c90]Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla:
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. ICLR 2021 - [c89]Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam:
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators. IJCAI 2021: 4197-4205 - [c88]Danish Contractor, Shashank Goel, Mausam, Parag Singla:
Joint Spatio-Textual Reasoning for Answering Tourism Questions. WWW 2021: 1978-1989 - [i37]Abhyuday Bhartiya, Kartikeya Badola, Mausam:
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction. CoRR abs/2104.08655 (2021) - [i36]Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam:
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion. CoRR abs/2104.08741 (2021) - [i35]Harkanwar Singh, Prachi Jain, Mausam, Soumen Chakrabarti:
Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment. CoRR abs/2104.08804 (2021) - [i34]Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam:
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators. CoRR abs/2105.04556 (2021) - [i33]Ananye Agarwal, Pradeep Shenoy, Mausam:
End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks. CoRR abs/2106.03121 (2021) - [i32]Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam:
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. CoRR abs/2109.07263 (2021) - [i31]Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi:
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. CoRR abs/2109.07396 (2021) - [i30]Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam:
MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction. CoRR abs/2109.15290 (2021) - [i29]Vipul Rathore, Kartikeya Badola, Mausam, Parag Singla:
A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction. CoRR abs/2110.07415 (2021) - 2020
- [c87]Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, Soumen Chakrabarti:
IMoJIE: Iterative Memory-Based Joint Open Information Extraction. ACL 2020: 5871-5886 - [c86]Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam:
OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion. AKBC 2020 - [c85]Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti:
Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols. EMNLP (1) 2020: 3733-3747 - [c84]Keshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal, Mausam, Soumen Chakrabarti:
OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction. EMNLP (1) 2020: 3748-3761 - [c83]Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam:
Why and when should you pool? Analyzing Pooling in Recurrent Architectures. EMNLP (Findings) 2020: 4568-4586 - [c82]Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal:
A Simple Yet Strong Pipeline for HotpotQA. EMNLP (1) 2020: 8839-8845 - [c81]Sankalp Garg, Aniket Bajpai, Mausam:
Symbolic Network: Generalized Neural Policies for Relational MDPs. ICML 2020: 3397-3407 - [i28]Sankalp Garg, Aniket Bajpai, Mausam:
Generalized Neural Policies for Relational MDPs. CoRR abs/2002.07375 (2020) - [i27]Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal:
A Simple Yet Strong Pipeline for HotpotQA. CoRR abs/2004.06753 (2020) - [i26]Dinesh Raghu, Nikhil Gupta, Mausam:
Unsupervised Learning of KB Queries in Task Oriented Dialogs. CoRR abs/2005.00123 (2020) - [i25]Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam:
Why and when should you pool? Analyzing Pooling in Recurrent Architectures. CoRR abs/2005.00159 (2020) - [i24]Vaibhav Adlakha, Parth Shah, Srikanta Bedathur, Mausam:
Knowledge Base Inference for Regular Expression Queries. CoRR abs/2005.00480 (2020) - [i23]Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti:
Knowledge Base Completion: Baseline strikes back (Again). CoRR abs/2005.00804 (2020) - [i22]Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti:
Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols. CoRR abs/2005.05035 (2020) - [i21]Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, Soumen Chakrabarti:
IMoJIE: Iterative Memory-Based Joint Open Information Extraction. CoRR abs/2005.08178 (2020) - [i20]Rajas Bansal, Shreshth Tuli, Rohan Paul, Mausam:
ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis. CoRR abs/2006.05478 (2020) - [i19]Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla:
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. CoRR abs/2008.11990 (2020) - [i18]Danish Contractor, Shashank Goel, Mausam, Parag Singla:
Joint Spatio-Textual Reasoning for Answering Tourism Questions. CoRR abs/2009.13613 (2020) - [i17]Keshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal, Mausam, Soumen Chakrabarti:
OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction. CoRR abs/2010.03147 (2020)
2010 – 2019
- 2019
- [j9]Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher W. Geib, Odd Erik Gundersen, Seán Ó hÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni:
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. 40(3): 67-78 (2019) - [c80]Sankalp Garg, Aniket Bajpai, Mausam:
Size Independent Neural Transfer for RDDL Planning. ICAPS 2019: 631-636 - [c79]Sangnie Bhardwaj, Samarth Aggarwal, Mausam:
CaRB: A Crowdsourced Benchmark for Open IE. EMNLP/IJCNLP (1) 2019: 6261-6266 - [c78]Dinesh Raghu, Nikhil Gupta, Mausam:
Disentangling Language and Knowledge in Task-Oriented Dialogs. NAACL-HLT (1) 2019: 1239-1255 - [c77]Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla:
A Primal Dual Formulation For Deep Learning With Constraints. NeurIPS 2019: 12157-12168 - [i16]Sankalp Garg, Aniket Bajpai, Mausam:
Size Independent Neural Transfer for RDDL Planning. CoRR abs/1902.03081 (2019) - [i15]Danish Contractor, Krunal Shah, Aditi Partap, Mausam, Parag Singla:
Large Scale Question Answering using Tourism Data. CoRR abs/1909.03527 (2019) - 2018
- [c76]Prachi Jain, Pankaj Kumar, Mausam, Soumen Chakrabarti:
Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision. ACL (2) 2018: 75-80 - [c75]Swarnadeep Saha, Mausam:
Open Information Extraction from Conjunctive Sentences. COLING 2018: 2288-2299 - [c74]Christopher H. Lin, Mausam, Daniel S. Weld:
Active Learning with Unbalanced Classes and Example-Generation Queries. HCOMP 2018: 98-107 - [c73]Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti:
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference. IJCAI 2018: 4122-4129 - [c72]Dinesh Raghu, Surag Nair, Mausam:
Inferring Temporal Knowledge for Near-Periodic Recurrent Events. IJCAI 2018: 4301-4308 - [c71]Aniket (Nick) Bajpai, Sankalp Garg, Mausam:
Transfer of Deep Reactive Policies for MDP Planning. NeurIPS 2018: 10988-10998 - [c70]Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. UAI 2018: 886-895 - [c69]Jonathan Bragg, Mausam, Daniel S. Weld:
Sprout: Crowd-Powered Task Design for Crowdsourcing. UIST 2018: 165-176 - [i14]Danish Contractor, Barun Patra, Mausam, Parag Singla:
Towards Understanding and Answering Multi-Sentence Recommendation Questions on Tourism. CoRR abs/1801.01825 (2018) - [i13]Dinesh Raghu, Nikhil Gupta, Mausam:
Hierarchical Pointer Memory Network for Task Oriented Dialogue. CoRR abs/1805.01216 (2018) - [i12]Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. CoRR abs/1807.00643 (2018) - [i11]Aniket Bajpai, Sankalp Garg, Mausam:
Transfer of Deep Reactive Policies for MDP Planning. CoRR abs/1810.11488 (2018) - 2017
- [c68]Swarnadeep Saha, Harinder Pal, Mausam:
Bootstrapping for Numerical Open IE. ACL (2) 2017: 317-323 - [c67]Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam:
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. AISTATS 2017: 1541-1549 - [c66]Karan Goel, Shreya Rajpal, Mausam:
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing. HCOMP 2017: 31-40 - [c65]Haroun Habeeb, Ankit Anand, Mausam, Parag Singla:
Coarse-to-Fine Lifted MAP Inference in Computer Vision. IJCAI 2017: 4595-4602 - [e2]Laura Barbulescu, Jeremy Frank, Mausam, Stephen F. Smith:
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, ICAPS 2017, Pittsburgh, Pennsylvania, USA, June 18-23, 2017. AAAI Press 2017 [contents] - [i10]Karan Goel, Shreya Rajpal, Mausam:
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing. CoRR abs/1702.03488 (2017) - [i9]Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti:
Joint Matrix-Tensor Factorization for Knowledge Base Inference. CoRR abs/1706.00637 (2017) - [i8]Haroun Habeeb, Ankit Anand, Mausam, Parag Singla:
Coarse-to-Fine Lifted MAP Inference in Computer Vision. CoRR abs/1707.07165 (2017) - [i7]Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam:
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. CoRR abs/1707.08879 (2017) - 2016
- [c64]Christopher H. Lin, Mausam, Daniel S. Weld:
Re-Active Learning: Active Learning with Relabeling. AAAI 2016: 1845-1852 - [c63]Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi:
Numerical Relation Extraction with Minimal Supervision. AAAI 2016: 2764-2771 - [c62]Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla:
OGA-UCT: On-the-Go Abstractions in UCT. ICAPS 2016: 29-37 - [c61]Harinder Pal, Mausam:
Demonyms and Compound Relational Nouns in Nominal Open IE. AKBC@NAACL-HLT 2016: 35-39 - [c60]Jonathan Bragg, Mausam, Daniel S. Weld:
Optimal Testing for Crowd Workers. AAMAS 2016: 966-974 - [c59]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
Contextual Symmetries in Probabilistic Graphical Models. IJCAI 2016: 3560-3568 - [c58]Mausam:
Open Information Extraction Systems and Downstream Applications. IJCAI 2016: 4074-4077 - [c57]Danish Contractor, Parag Singla, Mausam:
Entity-balanced Gaussian pLSA for Automated Comparison. HLT-NAACL 2016: 69-79 - [c56]Prachi Jain, Mausam:
Knowledge-Guided Linguistic Rewrites for Inference Rule Verification. HLT-NAACL 2016: 86-92 - [e1]Madhav V. Marathe, Mukesh K. Mohania, Mausam, Prateek Jain:
Proceedings of the 3rd IKDD Conference on Data Science, CODS 2016, Pune, India, March 13-16, 2016. ACM 2016, ISBN 978-1-4503-4217-9 [contents] - [i6]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
Contextual Symmetries in Probabilistic Graphical Models. CoRR abs/1606.09594 (2016) - [i5]Christopher H. Lin, Mausam, Daniel S. Weld:
A Programming Language With a POMDP Inside. CoRR abs/1608.08724 (2016) - 2015
- [c55]Gabriel Stanovsky, Ido Dagan, Mausam:
Open IE as an Intermediate Structure for Semantic Tasks. ACL (2) 2015: 303-308 - [c54]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
A Novel Abstraction Framework for Online Planning: Extended Abstract. AAMAS 2015: 1901-1902 - [c53]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
ASAP-UCT: Abstraction of State-Action Pairs in UCT. IJCAI 2015: 1509-1515 - 2014
- [c52]Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam:
Hierarchical Summarization: Scaling Up Multi-Document Summarization. ACL (1) 2014: 902-912 - [c51]Jonathan Bragg, Andrey Kolobov, Mausam, Daniel S. Weld:
Parallel Task Routing for Crowdsourcing. HCOMP 2014: 11-21 - [c50]Christopher H. Lin, Mausam, Daniel S. Weld:
To Re(label), or Not To Re(label). HCOMP 2014: 151-158 - [i4]Nicolas Meuleau, Emmanuel Benazera, Ronen I. Brafman, Eric A. Hansen, Mausam:
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains. CoRR abs/1401.3428 (2014) - [i3]Peng Dai, Mausam, Daniel Sabby Weld, Judy Goldsmith:
Topological Value Iteration Algorithms. CoRR abs/1401.3910 (2014) - 2013
- [j8]Peng Dai, Christopher H. Lin, Mausam, Daniel S. Weld:
POMDP-based control of workflows for crowdsourcing. Artif. Intell. 202: 52-85 (2013) - [j7]Alan Ritter, Luke Zettlemoyer, Mausam, Oren Etzioni:
Modeling Missing Data in Distant Supervision for Information Extraction. Trans. Assoc. Comput. Linguistics 1: 367-378 (2013) - [c49]Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni:
Generating Coherent Event Schemas at Scale. EMNLP 2013: 1721-1731 - [c48]Jonathan Bragg, Mausam, Daniel S. Weld:
Crowdsourcing Multi-Label Classification for Taxonomy Creation. HCOMP 2013: 25-33 - [c47]Andrey Kolobov, Mausam, Daniel S. Weld:
Joint Crowdsourcing of Multiple Tasks. HCOMP (Works in Progress / Demos) 2013 - [c46]Christopher H. Lin, Mausam, Daniel S. Weld:
Towards a Language for Non-Expert Specification of POMDPs for Crowdsourcing. HCOMP (Works in Progress / Demos) 2013 - [c45]Janara Christensen, Mausam, Stephen Soderland, Oren Etzioni:
Towards Coherent Multi-Document Summarization. HLT-NAACL 2013: 1163-1173 - 2012
- [b1]Mausam, Andrey Kolobov:
Planning with Markov Decision Processes: An AI Perspective. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2012, ISBN 978-3-031-00431-5 - [j6]Andrey Kolobov, Mausam, Daniel S. Weld:
Discovering hidden structure in factored MDPs. Artif. Intell. 189: 19-47 (2012) - [c44]Christopher H. Lin, Mausam, Daniel S. Weld:
Dynamically Switching between Synergistic Workflows for Crowdsourcing. AAAI 2012: 87-93 - [c43]Andrey Kolobov, Mausam, Daniel S. Weld:
LRTDP Versus UCT for Online Probabilistic Planning. AAAI 2012: 1786-1792 - [c42]Andrey Kolobov, Peng Dai, Mausam, Daniel S. Weld:
Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors. ICAPS 2012 - [c41]Mausam, Michael Schmitz, Stephen Soderland, Robert Bart, Oren Etzioni:
Open Language Learning for Information Extraction. EMNLP-CoNLL 2012: 523-534 - [c40]Thomas Lin, Mausam, Oren Etzioni:
No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities. EMNLP-CoNLL 2012: 893-903 - [c39]Christopher H. Lin, Mausam, Daniel S. Weld:
Crowdsourcing Control: Moving Beyond Multiple Choice. HCOMP@AAAI 2012 - [c38]Christopher H. Lin, Mausam, Daniel S. Weld:
Dynamically Switching between Synergistic Workflows for Crowdsourcing. HCOMP@AAAI 2012 - [c37]Daniel S. Weld, Eytan Adar, Lydia B. Chilton, Raphael Hoffmann, Eric Horvitz, Mitchell Koch, James A. Landay, Christopher H. Lin, Mausam:
Personalized Online Education - A Crowdsourcing Challenge. HCOMP@AAAI 2012 - [c36]Alan Ritter, Mausam, Oren Etzioni, Sam Clark:
Open domain event extraction from twitter. KDD 2012: 1104-1112 - [c35]Thomas Lin, Mausam, Oren Etzioni:
Entity Linking at Web Scale. AKBC-WEKEX@NAACL-HLT 2012: 84-88 - [c34]Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni:
Rel-grams: A Probabilistic Model of Relations in Text. AKBC-WEKEX@NAACL-HLT 2012: 101-105 - [c33]Andrey Kolobov, Mausam, Daniel S. Weld:
A Theory of Goal-Oriented MDPs with Dead Ends. UAI 2012: 438-447 - [c32]Christopher H. Lin, Mausam, Daniel S. Weld:
Crowdsourcing Control: Moving Beyond Multiple Choice. UAI 2012: 491-500 - [i2]Christopher H. Lin, Mausam, Daniel S. Weld:
Crowdsourcing Control: Moving Beyond Multiple Choice. CoRR abs/1210.4870 (2012) - [i1]Andrey Kolobov, Mausam, Daniel S. Weld:
A Theory of Goal-Oriented MDPs with Dead Ends. CoRR abs/1210.4875 (2012) - 2011
- [j5]Peng Dai, Mausam, Daniel S. Weld, Judy Goldsmith:
Topological Value Iteration Algorithms. J. Artif. Intell. Res. 42: 181-209 (2011) - [c31]Peng Dai, Mausam, Daniel S. Weld:
Artificial Intelligence for Artificial Artificial Intelligence. AAAI 2011: 1153-1160 - [c30]Daniel S. Weld, Mausam, Peng Dai:
Human Intelligence Needs Artificial Intelligence. Human Computation 2011 - [c29]Andrey Kolobov, Mausam, Daniel S. Weld, Hector Geffner:
Heuristic Search for Generalized Stochastic Shortest Path MDPs. ICAPS 2011 - [c28]Alan Ritter, Sam Clark, Mausam, Oren Etzioni:
Named Entity Recognition in Tweets: An Experimental Study. EMNLP 2011: 1524-1534 - [c27]Oren Etzioni, Anthony Fader, Janara Christensen, Stephen Soderland, Mausam:
Open Information Extraction: The Second Generation. IJCAI 2011: 3-10 - [c26]Andrey Kolobov, Mausam, Daniel S. Weld:
Towards Scalable MDP Algorithms. IJCAI 2011: 2818-2819 - [c25]Janara Christensen, Mausam, Stephen Soderland, Oren Etzioni:
An analysis of open information extraction based on semantic role labeling. K-CAP 2011: 113-120 - [c24]Daniel S. Weld, Mausam, Peng Dai:
Execution control for crowdsourcing. UIST (Adjunct Volume) 2011: 57-58 - 2010
- [j4]Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Kobi Reiter, Michael Skinner, Marcus Sammer, Jeff A. Bilmes:
Panlingual lexical translation via probabilistic inference. Artif. Intell. 174(9-10): 619-637 (2010) - [j3]Stephen Soderland, Brendan Roof, Bo Qin, Shi Xu, Mausam, Oren Etzioni:
Adapting Open Information Extraction to Domain-Specific Relations. AI Mag. 31(3): 93-102 (2010) - [c23]Andrey Kolobov, Mausam, Daniel S. Weld:
SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs. AAAI 2010: 1108-1114 - [c22]Peng Dai, Mausam, Daniel S. Weld:
Decision-Theoretic Control of Crowd-Sourced Workflows. AAAI 2010: 1168-1174 - [c21]Mausam, Stephen Soderland, Oren Etzioni:
Panlingual Lexical Translation via Probabilistic Inference. AAAI 2010: 1686-1689 - [c20]Thomas Lin, Mausam, Oren Etzioni:
Commonsense from the Web: Relation Properties. AAAI Fall Symposium: Commonsense Knowledge 2010 - [c19]Alan Ritter, Mausam, Oren Etzioni:
A Latent Dirichlet Allocation Method for Selectional Preferences. ACL 2010: 424-434 - [c18]Andrey Kolobov, Mausam, Daniel S. Weld:
Classical Planning in MDP Heuristics: with a Little Help from Generalization. ICAPS 2010: 97-104 - [c17]Thomas Lin, Mausam, Oren Etzioni:
Identifying Functional Relations in Web Text. EMNLP 2010: 1266-1276
2000 – 2009
- 2009
- [j2]Nicolas Meuleau, Emmanuel Benazera, Ronen I. Brafman, Eric A. Hansen, Mausam:
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains. J. Artif. Intell. Res. 34: 27-59 (2009) - [c16]Janara Christensen, Mausam, Oren Etzioni:
A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search. ACL/IJCNLP (2) 2009: 193-196 - [c15]Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Michael Skinner, Jeff A. Bilmes:
Compiling a Massive, Multilingual Dictionary via Probabilistic Inference. ACL/IJCNLP 2009: 262-270 - [c14]Peng Dai, Mausam, Daniel S. Weld:
Focused Topological Value Iteration. ICAPS 2009 - [c13]Peng Dai, Mausam, Daniel S. Weld:
Domain-Independent, Automatic Partitioning for Probabilistic Planning. IJCAI 2009: 1677-1683 - [c12]Andrey Kolobov, Mausam, Daniel S. Weld:
ReTrASE: Integrating Paradigms for Approximate Probabilistic Planning. IJCAI 2009: 1746-1753 - [c11]Stephen Soderland, Christopher Lim, Mausam, Bo Qin, Oren Etzioni, Jonathan Pool:
Lemmatic Machine Translation. MTSummit 2009 - 2008
- [j1]Mausam, Daniel S. Weld:
Planning with Durative Actions in Stochastic Domains. J. Artif. Intell. Res. 31: 33-82 (2008) - [c10]Peng Dai, Mausam, Daniel S. Weld:
Partitioned External-Memory Value Iteration. AAAI 2008: 898-904 - 2007
- [c9]William Cushing, Daniel S. Weld, Subbarao Kambhampati, Mausam, Kartik Talamadupula:
Evaluating Temporal Planning Domains. ICAPS 2007: 105-112 - [c8]William Cushing, Subbarao Kambhampati, Mausam, Daniel S. Weld:
When is Temporal Planning Really Temporal? IJCAI 2007: 1852-1859 - [c7]Mausam, Piergiorgio Bertoli, Daniel S. Weld:
A Hybridized Planner for Stochastic Domains. IJCAI 2007: 1972-1978 - 2006
- [c6]Mausam, Daniel S. Weld:
Probabilistic Temporal Planning with Uncertain Durations. AAAI 2006: 880-887 - [c5]Mausam, Daniel S. Weld:
Challenges for Temporal Planning with Uncertain Durations. ICAPS 2006: 414-417 - 2005
- [c4]Mausam, Daniel S. Weld:
Concurrent Probabilistic Temporal Planning. ICAPS 2005: 120-129 - [c3]Mausam, Emmanuel Benazera, Ronen I. Brafman, Nicolas Meuleau, Eric A. Hansen:
Planning with Continuous Resources in Stochastic Domains. IJCAI 2005: 1244-1251 - 2004
- [c2]Mausam, Daniel S. Weld:
Solving Concurrent Markov Decision Processes. AAAI 2004: 716-722 - [c1]Nilesh N. Dalvi, Pedro M. Domingos, Mausam, Sumit K. Sanghai, Deepak Verma:
Adversarial classification. KDD 2004: 99-108
Coauthor Index
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