Yixin Cao

Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning

Less Data Less Tokens: Multilingual Unification Learning for Efficient Test-Time Reasoning in LLMs

FRABench and UFEval: Unified Fine-grained Evaluation with Task and Aspect Generalization

Beyond Benchmarks: Understanding Mixture-of-Experts Models through Internal Mechanisms

Smarter Not Harder: Generative Process Evaluation with Intrinsic-Signal Driving and Ability‑Adaptive Reward Shaping

Teach2Eval: An Interaction-Driven LLMs Evaluation Method via Teaching Effectiveness

All by Large Language Model Itself

BNPO: Beta Normalization Policy Optimization

Do LLMs Signal When They’re Right? Evidence from Neuron Agreement

Model Utility Law: Evaluating LLMs beyond Performance via Mechanistically Interpretable Metric

RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style

Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields

Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection

FinBench: Benchmarking LLMs in Complex Financial Problem Solving and Reasoning

Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models