PPaperPicks

Dan Zhang

34 papers at tracked venues · 26 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. CORD: Bridging the Audio-Text Reasoning Gap via Weighted On-policy Cross-modal Distillation
  2. CodeRM-NT: Reward Model for Code RL without Unit Tests
  3. DataSciBench: An LLM Agent Benchmark for Data Science
    ACL 2026 · Dan Zhang
  4. MoE Adapter for Large Audio Language Models: Sparsity, Disentanglement, and Gradient-Conflict-Free
  5. SOAR: Semi-Supervised Open-Vocabulary Aerial Object Detection via Dual-Aware Enhanced Prior Denoising
  6. VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
  7. A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
  8. A Survey of Post-Training Scaling in Large Language Models
  9. AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents
  10. Benchmarking Feature Upsampling Methods for Vision Foundation Models Using Interactive Segmentation
  11. Can Large Language Models Master Complex Card Games?
  12. CtrlNews: LLM-based Multi-Agent Controllable News Writing via Knowledge Gravitational Field
  13. DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
  14. Generative Uncertainty in Diffusion Models
  15. How LLMs React to Industrial Spatio-Temporal Data? Assessing Hallucination with a Novel Traffic Incident Benchmark Dataset
  16. IntelliCockpitBench: A Comprehensive Benchmark to Evaluate VLMs for Intelligent Cockpit
  17. LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models
  18. PatAug: Augmentation of Augmentation for Test-Time Adaptation
  19. SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
  20. SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
  21. ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
  22. AutoRE: Document-Level Relation Extraction with Large Language Models
  23. Directly Denoising Diffusion Models
    ICML 2024 · Dan Zhang
  24. Early-Exit Neural Networks with Nested Prediction Sets
  25. FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
  26. Fast yet Safe: Early-Exiting with Risk Control
  27. GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization
  28. LiDAR-based HD Map Localization using Semantic Generalized ICP with Road Marking Detection
  29. OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
  30. ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
    NeurIPS 2024 · Dan Zhang
  31. RecDCL: Dual Contrastive Learning for Recommendation
    WWW 2024 · Dan Zhang
  32. Renovating Names in Open-Vocabulary Segmentation Benchmarks
  33. SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models
    NeurIPS 2024 · Dan Zhang
  34. ViewFormer: Exploring Spatiotemporal Modeling for Multi-view 3D Occupancy Perception via View-Guided Transformers