Wanxiang Che

ProxyAttn: Guided Sparse Attention via Representative Heads

How Many Code and Test Cases Are Enough? Evaluating Test Cases Generation from a Binary-Matrix Perspective

Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language Models

Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond

AutoPR: Let's Automate Your Academic Promotion!

Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding

Learning-to-Context Slope: Evaluating In-Context Learning Effectiveness Beyond Performance Illusions

CommonKV: Compressing KV Cache with Cross-layer Parameter Sharing

Beyond Score: A Multi-Agent System to Discover Capability and Behavioral Weaknesses in LLMs

SciDA: Scientific Dynamic Assessor of LLMs

Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures

AUTOTRITON: Automatic Triton Programming with Reinforcement Learning in LLMs

COIG-Writer: A High-Quality Chinese Creative Writing with Thought Process Dataset

Scaling Law for Code: A More Data-Hungry Regime

When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners

AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset

Lens: Rethinking Multilingual Enhancement for Large Language Models

Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought

What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models

In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks