PPaperPicks

Qi Zhang

Microsoft Corporation, STCA, Beijing, China

36 papers at tracked venues · 27 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. DUET: Joint Exploration of User-Item Profiles in Recommendation System
  2. HybridSparse: An End-to-End Hybrid Framework for Efficient Large-Scale Retrieval
  3. Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory
  4. AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
  5. AllHands :Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
  6. BokehDiff: Neural Lens Blur with One-Step Diffusion
  7. Context-DPO: Aligning Language Models for Context-Faithfulness
  8. DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
  9. ESF: Efficient Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models
  10. GeAR: Generation Augmented Retrieval
  11. LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System
  12. LettinGo: Explore User Profile Generation for Recommendation System
  13. MAIN: Mutual Alignment Is Necessary for instruction tuning
  14. MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
  15. NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning
  16. Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
  17. OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
  18. Ploutos: Towards Explainable Stock Movement Prediction with Financial Large Language Model
  19. RuAG: Learned-rule-augmented Generation for Large Language Models
  20. Self-Evolved Reward Learning for LLMS
  21. Towards Distributionally Balanced End-to-End Generative Retrieval
  22. UFO: A UI-Focused Agent for Windows OS Interaction
  23. Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism
  24. WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
  25. AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
  26. COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  27. COMET: NFT Price Prediction with Wallet Profiling
  28. Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
  29. EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
  30. HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition
  31. IRGen: Generative Modeling for Image Retrieval
  32. Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides
  33. OneSparse: A Unified System for Multi-index Vector Search
  34. ResLoRA: Identity Residual Mapping in Low-Rank Adaption
  35. Se²: Sequential Example Selection for In-Context Learning
  36. Text Diffusion with Reinforced Conditioning