13 citations · 13 across the 1 of their papers we have counts for
4 papers
GameXpert-Bench: How Far Are Coding Agents from Expert Game Development?
Kun Chen, Haorong Hong, Peizhong Gao +7
Recent large language models (LLMs) can operate as coding agents that build complete games from natural language requests. Game development is especially demanding because program…
Kimi K2: Open Agentic Intelligence
Kimi Team, Yifan Bai, Yiping Bao +195
We introduce Kimi K2, a Mixture-of-Experts (MoE) large language model with 32 billion activated parameters and 1 trillion total parameters. We propose the MuonClip optimizer, which…
SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data
Ye Jin, Ruoxuan Yang, Zhijie Yi +9
Leveraging advanced reasoning capabilities and extensive world knowledge of large language models (LLMs) to construct generative agents for solving complex real-world problems is a…
Meta Reasoning for Large Language Models
Peizhong Gao, Ao Xie, Shaoguang Mao +4
We introduce Meta-Reasoning Prompting (MRP), a novel and efficient system prompting method for large language models (LLMs) inspired by human meta-reasoning. Traditional in-context…