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• MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples
  2023 · 1 citations
• InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization
  2026
• IceCache: Memory-efficient KV-cache Management for Long-Sequence LLMs
  2026
• HEAPr: Hessian-based Efficient Atomic Expert Pruning in Output Space
  2025
• Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models
  2025
• Training-Free Group Relative Policy Optimization
  2025
• LTD-Bench: Evaluating Large Language Models by Letting Them Draw
  2025
• SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents
  2025
• Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization
  2025
• Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
  2025
• Beyond Templates: Dynamic Adaptation of Reasoning Demonstrations via Feasibility-Aware Exploration