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Found 3 papers, 2 papers with code
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks
Recent advancements in Large Language Models (LLMs) have led to significant breakthroughs in various natural language processing tasks.
HAF-RM: A Hybrid Alignment Framework for Reward Model Training
By decoupling the reward modeling procedure and incorporating hybrid supervision, our HaF-RM framework offers a principled and effective approach to enhancing the performance and alignment of reward models, a critical component in the responsible development of powerful language models.
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
We propose DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provide a wide range of legal services.
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