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• BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
  2024 · 1 citations
• MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution
  2026
• Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts
  2026
• Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking
  2025
• IHEval: Evaluating Language Models on Following the Instruction Hierarchy
  2025
• ViLBench: A Suite for Vision-Language Process Reward Modeling
  2025
• m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models
  2025
• SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
  2025
• AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
  2025
• Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph
  2025
• Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents
  2025
• Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
  2024