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2020 – today
- 2024
[c8]Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar:
A Grounded Preference Model for LLM Alignment. ACL (Findings) 2024: 151-162- [c7]Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo:
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. ICML 2024 - [i11]Gaurav Pandey, Yatin Nandwani
, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo:
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. CoRR abs/2402.02479 (2024) - [i10]Guangxuan Xu, Kai Xu, Shivchander Sudalairaj, Hao Wang, Akash Srivastava:
CDR: Customizable Density Ratios of Strong-over-weak LLMs for Preference Annotation. CoRR abs/2411.02481 (2024) - 2023
- [c6]Paulina Toro Isaza, Guangxuan Xu, Toye Oloko, Yufang Hou, Nanyun Peng, Dakuo Wang:
Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales. ACL (1) 2023: 6509-6531 - [i9]Paulina Toro Isaza, Guangxuan Xu, Akintoye Oloko, Yufang Hou, Nanyun Peng, Dakuo Wang:
Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales. CoRR abs/2305.16641 (2023) - 2022
- [j1]Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Soroush Vosoughi:
Quantifying and alleviating political bias in language models. Artif. Intell. 304: 103654 (2022) - [c5]Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang:
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark. ACL (Findings) 2022: 3906-3923 - [c4]Guangxuan Xu, Ruibo Liu, Fabrice Harel-Canada, Nischal Reddy Chandra, Nanyun Peng:
EnDex: Evaluation of Dialogue Engagingness at Scale. EMNLP (Findings) 2022: 4884-4893 - [c3]Ruibo Liu, Chongyang Gao, Chenyan Jia, Guangxuan Xu, Soroush Vosoughi:
Non-Parallel Text Style Transfer with Self-Parallel Supervision. ICLR 2022 - [i8]Guangxuan Xu, Qingyuan Hu:
Can Model Compression Improve NLP Fairness. CoRR abs/2201.08542 (2022) - [i7]Ruibo Liu, Chongyang Gao, Chenyan Jia, Guangxuan Xu, Soroush Vosoughi:
Non-Parallel Text Style Transfer with Self-Parallel Supervision. CoRR abs/2204.08123 (2022) - [i6]Guangxuan Xu, Paulina Toro Isaza, Moshi Li, Akintoye Oloko, Bingsheng Yao, Aminat Adebiyi, Yufang Hou, Nanyun Peng, Dakuo Wang:
NECE: Narrative Event Chain Extraction Toolkit. CoRR abs/2208.08063 (2022) - [i5]Guangxuan Xu, Ruibo Liu, Fabrice Harel-Canada, Nischal Reddy Chandra, Nanyun Peng:
EnDex: Evaluation of Dialogue Engagingness at Scale. CoRR abs/2210.12362 (2022) - 2021
- [c2]Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi:
Mitigating Political Bias in Language Models through Reinforced Calibration. AAAI 2021: 14857-14866 - [i4]Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi:
Mitigating Political Bias in Language Models Through Reinforced Calibration. CoRR abs/2104.14795 (2021) - [i3]Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang:
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark. CoRR abs/2110.08466 (2021) - 2020
- [c1]Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, Soroush Vosoughi:
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation. EMNLP (1) 2020: 9031-9041 - [i2]Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, Soroush Vosoughi:
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation. CoRR abs/2012.02952 (2020) - [i1]Ruibo Liu, Guangxuan Xu, Soroush Vosoughi:
Enhanced Offensive Language Detection Through Data Augmentation. CoRR abs/2012.02954 (2020)
Coauthor Index
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