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Yaliang Li

20 papers Β· 1710 citations
Most-cited papers
  • Text-to-sql Empowered By Large Language Models: A Benchmark Evaluation
    2023 Β· 571 citations
  • Federatedscope-llm: A Comprehensive Package For Fine-tuning Large Language Models In Federated Learning
    2023 Β· 240 citations
  • TEST: Text Prototype Aligned Embedding To Activate Llm's Ability For Time Series
    2023 Β· 222 citations
  • Fedbiot: LLM Local Fine-tuning In Federated Learning Without Full Model
    2024 Β· 127 citations
  • Agentscope: A Flexible Yet Robust Multi-agent Platform
    2024 Β· 99 citations
  • Very Large-scale Multi-agent Simulation In Agentscope
    2024 Β· 1 citations
  • TCOD: Exploring Temporal Curriculum In On-policy Distillation For Multi-turn Autonomous Agents
    2026
  • Agentic Memory: Learning Unified Long-term And Short-term Memory Management For Large Language Model Agents
    2026
  • Agentscope 1.0: A Developer-centric Framework For Building Agentic Applications
    2025
Topics
Fine-TuningEfficiencyTraining TechniquesMulti-AgentCode AgentsReinforcement LearningAgenticRAGEvaluationPrompting

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