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Found 3 papers, 2 papers with code
Advancing LLM Reasoning Generalists with Preference Trees
We introduce Eurus, a suite of large language models (LLMs) optimized for reasoning.
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
INTERVENOR prompts Large Language Models (LLMs) to play distinct roles during the code repair process, functioning as both a Code Learner and a Code Teacher.
Ranked #16 on
Code Generation
on HumanEval
GameGPT: Multi-agent Collaborative Framework for Game Development
The large language model (LLM) based agents have demonstrated their capacity to automate and expedite software development processes.
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