Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs

12 February 2024

Papers citing "Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs"

8 / 8 papers shown

Title
Constraint Back-translation Improves Complex Instruction Following of Large Language Models Y. Qi Hao Peng X. Wang Bin Xu Lei Hou Juanzi Li 48 0 0 31 Oct 2024
Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification Zhenwen Liang Ye Liu Tong Niu Xiangliang Zhang Yingbo Zhou Semih Yavuz LRM 19 17 0 05 Oct 2024
Self-Rewarding Language Models Weizhe Yuan Richard Yuanzhe Pang Kyunghyun Cho Xian Li Sainbayar Sukhbaatar Jing Xu Jason Weston ReLM SyDa ALM LRM 215 291 0 18 Jan 2024
ZYN: Zero-Shot Reward Models with Yes-No Questions for RLAIF Víctor Gallego SyDa 16 4 0 11 Aug 2023
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction Martin Josifoski Marija Sakota Maxime Peyrard Robert West SyDa 54 76 0 07 Mar 2023
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 220 495 0 28 Sep 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
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 273 1,561 0 18 Sep 2019