Training ELECTRA Augmented with Multi-word Selection. - Jiaming Shen; Jialu Liu; Tianqi Liu 002; Cong Yu 001; Jiawei Han 001 (ACL/IJCNLP (Findings), 2021)

NewsEmbed: Modeling News through Pre-trained Document Representations. - Jialu Liu; Tianqi Liu 002; Cong Yu 001 (KDD, 2021)

All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass. - Jiaxin Huang 001; Tianqi Liu 002; Jialu Liu; Ádám D. Lelkes; Cong Yu 001; Jiawei Han 001 (CoRR, 2022)

Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. - Rongzhi Zhang; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Michael Bendersky; Marc Najork; Chao Zhang 014 (CoRR, 2023)

SLiC-HF: Sequence Likelihood Calibration with Human Feedback. - Yao Zhao; Rishabh Joshi; Tianqi Liu 002; Misha Khalman; Mohammad Saleh; Peter J. Liu (CoRR, 2023)

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. - Zhen Qin 001; Rolf Jagerman; Kai Hui 001; Honglei Zhuang; Junru Wu; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Donald Metzler; Xuanhui Wang; Michael Bendersky (CoRR, 2023)

On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. - Jing Nathan Yan; Tianqi Liu 002; Justin T. Chiu; Jiaming Shen; Zhen Qin 001; Yue Yu 001; Yao Zhao; Charu Lakshmanan; Yair Kurzion; Alexander M. Rush; Jialu Liu; Michael Bendersky (CoRR, 2023)

Video Summarization: Towards Entity-Aware Captions. - Hammad A. Ayyubi; Tianqi Liu 002; Arsha Nagrani; Xudong Lin 003; Mingda Zhang; Anurag Arnab; Feng Han; Yukun Zhu; Jialu Liu; Shih-Fu Chang (CoRR, 2023)

Predicting Text Preference Via Structured Comparative Reasoning. - Jing Nathan Yan; Tianqi Liu 002; Justin T. Chiu; Jiaming Shen; Zhen Qin 001; Yue Yu 001; Charumathi Lakshmanan; Yair Kurzion; Alexander M. Rush; Jialu Liu; Michael Bendersky (ACL (1), 2024)

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. - Yue Yu 001; Jiaming Shen; Tianqi Liu 002; Zhen Qin 001; Jing Nathan Yan; Jialu Liu; Chao Zhang 014; Michael Bendersky (ACL (1), 2024)

PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. - Rongzhi Zhang; Jiaming Shen; Tianqi Liu 002; Haorui Wang; Zhen Qin 001; Feng Han; Jialu Liu; Simon Baumgartner; Michael Bendersky; Chao Zhang 014 (ACL (Findings), 2024)

VIEWS: Entity-Aware News Video Captioning. - Hammad A. Ayyubi; Tianqi Liu 002; Arsha Nagrani; Xudong Lin 003; Mingda Zhang; Anurag Arnab; Feng Han; Yukun Zhu; Xuande Feng; Kevin Zhang; Jialu Liu; Shih-Fu Chang (EMNLP, 2024)

Multilingual Fine-Grained News Headline Hallucination Detection. - Jiaming Shen; Tianqi Liu 002; Jialu Liu; Zhen Qin 001; Jay Pavagadhi; Simon Baumgartner; Michael Bendersky (EMNLP (Findings), 2024)

Statistical Rejection Sampling Improves Preference Optimization. - Tianqi Liu 002; Yao Zhao; Rishabh Joshi; Misha Khalman; Mohammad Saleh; Peter J. Liu; Jialu Liu (ICLR, 2024)

Human Alignment of Large Language Models through Online Preference Optimisation. - Daniele Calandriello; Zhaohan Daniel Guo; Rémi Munos; Mark Rowland 001; Yunhao Tang; Bernardo Ávila Pires; Pierre Harvey Richemond; Charline Le Lan; Michal Valko; Tianqi Liu 002; Rishabh Joshi; Zeyu Zheng; et al. (ICML, 2024)

Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. - Rongzhi Zhang; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Michael Bendersky; Marc Najork; Chao Zhang 014 (KDD, 2024)

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. - Zhen Qin 001; Rolf Jagerman; Kai Hui 001; Honglei Zhuang; Junru Wu; Le Yan; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Donald Metzler; Xuanhui Wang; Michael Bendersky (NAACL-HLT (Findings), 2024)

Direct Language Model Alignment from Online AI Feedback. - Shangmin Guo; Biao Zhang; Tianlin Liu; Tianqi Liu 002; Misha Khalman; Felipe Llinares; Alexandre Ramé; Thomas Mesnard; Yao Zhao; Bilal Piot; Johan Ferret; Mathieu Blondel (CoRR, 2024)

Offline Regularised Reinforcement Learning for Large Language Models Alignment. - Pierre Harvey Richemond; Yunhao Tang; Daniel Guo 001; Daniele Calandriello; Mohammad Gheshlaghi Azar; Rafael Rafailov; Bernardo Ávila Pires; Eugene Tarassov; Lucas Spangher; Will Ellsworth; Aliaksei Severyn; Jonathan Mallinson; et al. (CoRR, 2024)

Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. - Jiaming Shen; Ran Xu 002; Yennie Jun; Zhen Qin 001; Tianqi Liu 002; Carl Yang 001; Yi Liang; Simon Baumgartner; Michael Bendersky (CoRR, 2024)

LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification. - Zhen Qin 001; Junru Wu; Jiaming Shen; Tianqi Liu 002; Xuanhui Wang (CoRR, 2024)

RRM: Robust Reward Model Training Mitigates Reward Hacking. - Tianqi Liu 002; Wei Xiong 015; Jie Ren 006; Lichang Chen; Junru Wu; Rishabh Joshi; Yang Gao; Jiaming Shen; Zhen Qin 001; Tianhe Yu; Daniel Sohn; Anastasiia Makarova; et al. (CoRR, 2024)

Evolving Alignment via Asymmetric Self-Play. - Ziyu Ye; Rishabh Agarwal; Tianqi Liu 002; Rishabh Joshi; Sarmishta Velury; Quoc V. Le; Qijun Tan; Yuan Liu (CoRR, 2024)

RRM: Robust Reward Model Training Mitigates Reward Hacking. - Tianqi Liu 002; Wei Xiong 015; Jie Ren 006; Lichang Chen; Junru Wu; Rishabh Joshi; Yang Gao; Jiaming Shen; Zhen Qin 001; Tianhe Yu; Daniel Sohn; Anastasia Makarova; et al. (ICLR, 2025)

Building Math Agents with Multi-Turn Iterative Preference Learning. - Wei Xiong 015; Chengshuai Shi; Jiaming Shen; Aviv Rosenberg 002; Zhen Qin 001; Daniele Calandriello; Misha Khalman; Rishabh Joshi; Bilal Piot; Mohammad Saleh; Chi Jin; Tong Zhang 001; et al. (ICLR, 2025)

LiPO: Listwise Preference Optimization through Learning-to-Rank. - Tianqi Liu 002; Zhen Qin 001; Junru Wu; Jiaming Shen; Misha Khalman; Rishabh Joshi; Yao Zhao; Mohammad Saleh; Simon Baumgartner; Jialu Liu; Peter J. Liu; Xuanhui Wang (NAACL (Long Papers), 2025)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation. - Junru Wu; Le Yan; Zhen Qin 001; Honglei Zhuang; Paul Suganthan G. C.; Tianqi Liu 002; Zhe Dong; Xuanhui Wang; Harrie Oosterhuis (CoRR, 2025)