Title
ShiQ: Bringing back Bellman to LLMs Pierre Clavier Nathan Grinsztajn Raphaël Avalos Yannis Flet-Berliac Irem Ergun ... Eugene Tarassov Olivier Pietquin Pierre Harvey Richemond Florian Strub Matthieu Geist OffRL 16 0 0 16 May 2025
Learning to Summarize from LLM-generated Feedback Hwanjun Song Taewon Yun Yuho Lee Jihwan Oh Gihun Lee Jason (Jinglun) Cai Hang Su 78 4 0 28 Jan 2025
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs Jiaxing Wu Lin Ning Luyang Liu Harrison Lee Neo Wu Chao Wang Sushant Prakash S. O’Banion Bradley Green Jun Xie 71 1 0 20 Jan 2025
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion Yannis Flet-Berliac Nathan Grinsztajn Florian Strub Bill Wu Eugene Choi ... Arash Ahmadian Yash Chandak M. G. Azar Olivier Pietquin Matthieu Geist OffRL 68 5 0 17 Jan 2025
The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input Alon Jacovi Andrew Wang Chris Alberti Connie Tao Jon Lipovetz ... Rachana Fellinger Rui Wang Zizhao Zhang Sasha Goldshtein Dipanjan Das HILM ALM 111 13 0 06 Jan 2025
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset Khaoula Chehbouni Jonathan Colaço-Carr Yash More Jackie CK Cheung G. Farnadi 80 0 0 12 Nov 2024
Graph-based Confidence Calibration for Large Language Models Yukun Li Sijia Wang Lifu Huang Li-Ping Liu UQCV 46 1 0 03 Nov 2024
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models Michael Noukhovitch Shengyi Huang Sophie Xhonneux Arian Hosseini Rishabh Agarwal Rameswar Panda OffRL 85 6 0 23 Oct 2024
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models Qitan Lv Jie Wang Hanzhu Chen Bin Li Yongdong Zhang Feng Wu HILM 38 3 0 19 Oct 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies Alexandre Ramé Johan Ferret Nino Vieillard Robert Dadashi Léonard Hussenot Pierre-Louis Cedoz Pier Giuseppe Sessa Sertan Girgin Arthur Douillard Olivier Bachem 62 14 0 24 Jun 2024
Teaching Language Models to Self-Improve by Learning from Language Feedback Chi Hu Yimin Hu Hang Cao Tong Xiao Jingbo Zhu LRM VLM 35 4 0 11 Jun 2024
Self-Improving Robust Preference Optimization Eugene Choi Arash Ahmadian Matthieu Geist Oilvier Pietquin M. G. Azar 33 8 0 03 Jun 2024
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation Jueon Eom Seyeon Jeong Taekyoung Kwon 34 7 0 19 Feb 2024
Generalized Preference Optimization: A Unified Approach to Offline Alignment Yunhao Tang Z. Guo Zeyu Zheng Daniele Calandriello Rémi Munos Mark Rowland Pierre Harvey Richemond Michal Valko Bernardo Avila-Pires Bilal Piot 34 93 0 08 Feb 2024
Teaching Language Models to Hallucinate Less with Synthetic Tasks Erik Jones Hamid Palangi Clarisse Simoes Varun Chandrasekaran Subhabrata Mukherjee Arindam Mitra Ahmed Hassan Awadallah Ece Kamar HILM 31 23 0 10 Oct 2023
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features Hannah Rashkin David Reitter Gaurav Singh Tomar Dipanjan Das 175 101 0 14 Jul 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 233 306 0 27 Apr 2021
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 303 1,620 0 18 Sep 2019