THUDM/AgentBench
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
ICML 2024: Improving Factuality and Reasoning in Language Models through Multiagent Debate
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A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback
[ICLR 2026] LLM/VLM gaming agents and model evaluation through games.