1 citations · 3 across the 8 of their papers we have counts for
5 papers · 1 filter
AgentBay: A Hybrid Interaction Sandbox for Seamless Human-AI Intervention in Agentic Systems
Yun Piao, Hongbo Min, Hang Su +28
The rapid advancement of Large Language Models (LLMs) is catalyzing a shift towards autonomous AI Agents capable of executing complex, multi-step tasks. However, these agents remai…
Dual Engines of Thoughts: A Depth-Breadth Integration Framework for Open-Ended Analysis
Fei-Hsuan Yu, Yun-Cheng Chou, Teng-Ruei Chen
We propose the Dual Engines of Thoughts (DEoT), an analytical framework for comprehensive open-ended reasoning. While traditional reasoning frameworks primarily focus on finding "t…
Robust Search with Uncertainty-Aware Value Models for Language Model Reasoning
Fei Yu, Yingru Li, Benyou Wang
Value model guided search is effective in steering LLM generation but suffers from a lack of robustness. This is due to verifier failure: imperfect VMs mistakenly prune valid reaso…
PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods
Yiying Wang, Xiaojing Li, Binzhu Wang +10
In domain-specific applications, GPT-4, augmented with precise prompts or Retrieval-Augmented Generation (RAG), shows notable potential but faces the critical tri-lemma of performa…
OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning
Fei Yu, Anningzhe Gao, Benyou Wang
Large language models (LLMs) often struggle with maintaining accuracy throughout multiple multiple reasoning steps, especially in mathematical reasoning where an error in earlier s…