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cs.CL2026
LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction
Xiao You, Tianwei Yan, Zixu Shan +2
Large language models show strong promise for information extraction (IE), but existing reflection-based correction methods are often misaligned with structured extraction outputs.…
cs.CL2026
LC-ICL: Label-Guided Contrastive In-Context Learning for Robust Information Extraction
Xiao You, Tianwei Yan, Shan Zhao
There has been increasing interest in exploring the capabilities of advanced large language models (LLMs) in the field of information extraction (IE), specifically focusing on task…
cs.CV2026
Where Does Vision Meet Language? Understanding and Refining Visual Fusion in MLLMs via Contrastive Attention
Shezheng Song, Shasha Li, Shan Zhao +6
Multimodal Large Language Models (MLLMs) have achieved remarkable progress in vision-language understanding, yet how they internally integrate visual and textual information remain…