collaborators

5 papers

cs.CL2026

GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Models

Ryner Tan, Wenxuan Zhang

Large Audio-Language Models (LALMs) integrate audio perception and language understanding within a unified framework, enabling a wide range of real-world applications. Despite rece…

cs.AI2026

Diagnosing Harmful Continuation in Answer-Correct Long-CoT Training Traces

Chen He, Yuhao Wu, Lei Wang +2

Long chain-of-thought (CoT) traces are widely used as supervision for reasoning-oriented LLM SFT, yet answer-correct traces can still lead to markedly different fine-tuning outcome…

cs.AI2026

dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models

Wenxuan Zhang, Lemeng Wu, Changsheng Zhao +11

Diffusion Large Language Models (dLLMs) introduce a new paradigm for language generation, which in turn presents new challenges for aligning them with human preferences. In this wo…

cs.CL2026

Logic-Oriented Retriever Enhancement via Contrastive Learning

Wenxuan Zhang, Yuan-Hao Jiang, Changyong Qi +2

Large language models (LLMs) struggle in knowledge-intensive tasks, as retrievers often overfit to surface similarity and fail on queries involving complex logical relations. The c…

cs.CL2026

FreeChunker: A Cross-Granularity Chunking Framework

Wenxuan Zhang, Yuan-Hao Jiang, Yang Cao +1

Chunking strategies significantly impact the effectiveness of Retrieval-Augmented Generation (RAG) systems. Existing methods operate within fixed-granularity paradigms that rely on…