Summary of Tpo: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees, by Weibin Liao et al.
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Treesby Weibin Liao, Xu Chu,…
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Treesby Weibin Liao, Xu Chu,…
PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinkingby Markus J.…
Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programmingby Yilun Hao, Yang Zhang,…
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learningby Bokai Hu, Sai…
Varying Shades of Wrong: Aligning LLMs with Wrong Answers Onlyby Jihan Yao, Wenxuan Ding, Shangbin…
Thinking LLMs: General Instruction Following with Thought Generationby Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao…
EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operationsby Zhangchi Feng, Dongdong Kuang, Zhongyuan Wang,…
Resource-Constrained Heuristic for Max-SATby Brian Matejek, Daniel Elenius, Cale Gentry, David Stoker, Adam CobbFirst submitted…
Recent advancements in LLM Red-Teaming: Techniques, Defenses, and Ethical Considerationsby Tarun Raheja, Nilay Pochhi, F.D.C.M.…
Online design of dynamic networksby Duo Wang, Andrea Araldo, Mounim El YacoubiFirst submitted to arxiv…