PPaperPicks

Lichang Chen

18 papers at tracked venues · 15 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
  2. Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models
  3. From Lists to Emojis: How Format Bias Affects Model Alignment
  4. OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
    ICLR 2025 · Lichang Chen
  5. RRM: Robust Reward Model Training Mitigates Reward Hacking
  6. Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
  7. AlpaGasus: Training a Better Alpaca with Fewer Data
    ICLR 2024 · Lichang Chen
  8. Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
  9. Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
  10. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
  11. Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models
  12. InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
    ICML 2024 · Lichang Chen
  13. ODIN: Disentangled Reward Mitigates Hacking in RLHF
    ICML 2024 · Lichang Chen
  14. Prompting Language-Informed Distribution for Compositional Zero-Shot Learning
  15. Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
  16. Spectrum AUC Difference (SAUCD): Human-Aligned 3D Shape Evaluation
  17. Unbiased Watermark for Large Language Models
  18. Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection