2 citations · 3 across the 11 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2026
Evo-Bench: Can Language Models Improve Agent Harness?
Lisheng Huang, Chen Yang, Hao Zhou +6
Large Language Models (LLMs) have driven rapid progress in autonomous agents, yet standard evaluations remain confined to static task solving. An emerging frontier is harness evolu…
cs.CL2024★ 1 cited
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
Jinhao Jiang, Jiayi Chen, Junyi Li +5
Existing large language models (LLMs) show exceptional problem-solving capabilities but might struggle with complex reasoning tasks. Despite the successes of chain-of-thought and t…
cs.CL2024
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
Jinhao Jiang, Junyi Li, Wayne Xin Zhao +3
Adapting general large language models (LLMs) to specialized domains presents great challenges due to varied data distributions. This adaptation typically requires continual pre-tr…