21 citations · 28 across the 8 of their papers we have counts for
6 papers · 1 filter
More Vulnerable than You Think: On the Stability of Tool-Integrated LLM Agents
Weimin Xiong, Ke Wang, Yifan Song +4
Current evaluations of tool-integrated LLM agents typically focus on end-to-end tool-usage evaluation while neglecting their stability. This limits their real-world applicability,…
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making
Xiutian Zhao, Ke Wang, Wei Peng
Modern large language models (LLMs) have exhibited cooperative synergy on complex task-solving, and collective decision-making (CDM) is a pivotal component in LLM-based multi-agent…
ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization
Xiutian Zhao, Ke Wang, Wei Peng
Dialogue agents have been receiving increasing attention for years, and this trend has been further boosted by the recent progress of large language models (LLMs). Stance detection…
Measuring the Inconsistency of Large Language Models in Preferential Ranking
Xiutian Zhao, Ke Wang, Wei Peng
Despite large language models' (LLMs) recent advancements, their bias and hallucination issues persist, and their ability to offer consistent preferential rankings remains underexp…
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories
Yifan Song, Weimin Xiong, Xiutian Zhao +6
Fine-tuning on agent-environment interaction trajectory data holds significant promise for surfacing generalized agent capabilities in open-source large language models (LLMs). In…
Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
Weimin Xiong, Yifan Song, Xiutian Zhao +6
Large language model agents have exhibited exceptional performance across a range of complex interactive tasks. Recent approaches have utilized tuning with expert trajectories to e…