← authors · overview

• Llmeval: A Preliminary Study On How To Evaluate Large Language Models
  2023 · 29 citations
• LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
  2023 · 8 citations
• What's Wrong with Your Code Generated by Large Language Models? An Extensive Study
  2024 · 6 citations
• TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
  2023 · 4 citations
• AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
  2024 · 3 citations
• Making Harmful Behaviors Unlearnable for Large Language Models
  2023 · 2 citations
• LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
  2024 · 2 citations
• Orthogonal Subspace Learning for Language Model Continual Learning
  2023 · 1 citations
• ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
  2024 · 1 citations
• LongHeads: Multi-Head Attention is Secretly a Long Context Processor