Summary of Deal: Decoding-time Alignment For Large Language Models, by James Y. Huang et al.
DeAL: Decoding-time Alignment for Large Language Modelsby James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi-an…
Summary of Direct Language Model Alignment From Online Ai Feedback, by Shangmin Guo et al.
Direct Language Model Alignment from Online AI Feedbackby Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi…
Summary of Investigating Bias Representations in Llama 2 Chat Via Activation Steering, by Dawn Lu et al.
Investigating Bias Representations in Llama 2 Chat via Activation Steeringby Dawn Lu, Nina RimskyFirst submitted…
Summary of Transforming and Combining Rewards For Aligning Large Language Models, by Zihao Wang et al.
Transforming and Combining Rewards for Aligning Large Language Modelsby Zihao Wang, Chirag Nagpal, Jonathan Berant,…
Summary of The Language Barrier: Dissecting Safety Challenges Of Llms in Multilingual Contexts, by Lingfeng Shen et al.
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contextsby Lingfeng Shen, Weiting Tan,…
Summary of Reinforcement Learning For Question Answering in Programming Domain Using Public Community Scoring As a Human Feedback, by Alexey Gorbatovski and Sergey Kovalchuk
Reinforcement learning for question answering in programming domain using public community scoring as a human…
Summary of Low-rank Contextual Reinforcement Learning From Heterogeneous Human Feedback, by Seong Jin Lee et al.
Low-Rank Contextual Reinforcement Learning from Heterogeneous Human Feedbackby Seong Jin Lee, Will Wei Sun, Yufeng…
Summary of Fedrlhf: a Convergence-guaranteed Federated Framework For Privacy-preserving and Personalized Rlhf, by Flint Xiaofeng Fan et al.
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHFby Flint Xiaofeng Fan, Cheston Tan,…
Summary of Mppo: Multi Pair-wise Preference Optimization For Llms with Arbitrary Negative Samples, by Shuo Xie et al.
MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samplesby Shuo Xie, Fangzhi Zhu,…
Summary of Energy-based Preference Model Offers Better Offline Alignment Than the Bradley-terry Preference Model, by Yuzhong Hong et al.
Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Modelby Yuzhong Hong, Hanshan…