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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.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.CL2025
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…