From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models
A lightweight large language model inference framework that performs structured and fine-grained natural language reasoning without the need for complex search and external tools.
Aug 1, 2025
Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model
This paper introduces an efficient method for finetuning Large Language Models (LLMs) using off-policy reinforcement learning, aiming to improve performance while minimizing computational resources.
Jul 9, 2025
Unlocking Multi-Agent Debate Potential: Enhancing Effective Scaling through Role Allocation Strategies
Jun 15, 2025
Cellagent: An llm-driven multi-agent framework for automated single-cell data analysis
An LLM-driven multi-agent framework for single-cell data analysis, ensuring high-quality results with minimal effort.
Aug 1, 2024
Enhancing robotic manipulation with AI feedback from multimodal large language models
Feb 1, 2024
Peria: Perceive, reason, imagine, act via holistic language and vision planning for manipulation
Jan 1, 2024
OSCAR: OOD State-Conservative Offline Reinforcement Learning for Sequential Decision Making
Jan 1, 2023
Exploration in deep reinforcement learning: From single-agent to multiagent domain
Jan 1, 2023