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References (21)

[1]
Internalizing Self-Consistency in Language Models: Multi-Agent Consensus Alignment
2025Ankur Samanta, Akshayaa Magesh et al.
[2]
OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration
2025Jusheng Zhang, Yijia Fan et al.
[3]
MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents
2025Kunlun Zhu, Hongyi Du et al.
[4]
Multi-agent Architecture Search via Agentic Supernet
2025Gui-Min Zhang, Luyang Niu et al.
[5]
Self-Preference Bias in LLM-as-a-Judge
2024Koki Wataoka, Tsubasa Takahashi et al.
[6]
RouteLLM: Learning to Route LLMs with Preference Data
2024Isaac Ong, Amjad Almahairi et al.
[7]
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
2024John Yang, Carlos E. Jimenez et al.
[8]
LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead
2024Junda He, Christoph Treude et al.
[9]
Hypothesis Generation with Large Language Models
2024Yangqiaoyu Zhou, Haokun Liu et al.
[10]
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
2024Chang Ma, Junlei Zhang et al.
[11]
TaskWeaver: A Code-First Agent Framework
2023Bo Qiao, Liqun Li et al.
[12]
Qwen Technical Report
2023Jinze Bai, Shuai Bai et al.
[13]
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
2023Qingyun Wu, Gagan Bansal et al.
[14]
MetaGPT: Meta Programming for Multi-Agent Collaborative Framework
2023Sirui Hong, Xiawu Zheng et al.
[15]
ChatDev: Communicative Agents for Software Development
2023Cheng Qian, Wei Liu et al.
[16]
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
2023Lianmin Zheng, Wei-Lin Chiang et al.
[17]
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
2023Lingjiao Chen, M. Zaharia et al.
[18]
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
2023G. Li, Hasan Hammoud et al.
[19]
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
2023Yang Liu, Dan Iter et al.
[20]
GPT-4 Technical Report
2023OpenAI Josh Achiam, Steven Adler et al.

Showing 20 of 21 references

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