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Kaiyan Zhang

23 papers at tracked venues · 19 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future
  2. GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
  3. MARS²: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation
  4. AdsQA: Towards Advertisement Video Understanding
  5. Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization
  6. Free Process Rewards without Process Labels
  7. Fusing Highly Specialized Language Models for Comprehensive Expertise
  8. How to Synthesize Text Data without Model Collapse?
  9. Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
  10. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
  11. OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
    ICLR 2025 · Kaiyan Zhang
  12. Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines
  13. ReviewRL: Towards Automated Scientific Review with RL
  14. SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks
  15. SciSketch: An Open-source Framework for Automated Schematic Diagram Generation in Scientific Papers
  16. TTRL: Test-Time Reinforcement Learning
  17. Video-T1: Test-Time Scaling for Video Generation
  18. CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following
    ACL 2024 · Kaiyan Zhang
  19. Generative Multi-Modal Knowledge Retrieval with Large Language Models
  20. PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning
  21. SMR: State Memory Replay for Long Sequence Modeling
  22. Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
  23. UltraMedical: Building Specialized Generalists in Biomedicine
    NeurIPS 2024 · Kaiyan Zhang