Summary of Evidence-driven Retrieval Augmented Response Generation For Online Misinformation, by Zhenrui Yue et al.
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformationby Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu…
Summary of Medaide: Leveraging Large Language Models For On-premise Medical Assistance on Edge Devices, by Abdul Basit et al.
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devicesby Abdul Basit, Khizar…
Summary of Is Crowdsourcing Breaking Your Bank? Cost-effective Fine-tuning Of Pre-trained Language Models with Proximal Policy Optimization, by Shuo Yang and Gjergji Kasneci
Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimizationby…
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 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 Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-wolfe, by Kiran Koshy Thekumparampil et al.
Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfeby Kiran Koshy Thekumparampil,…
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,…