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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.CL2024
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment
Shezheng Song, Shasha Li, Shan Zhao +8
Multimodal aspect-based sentiment analysis (MABSA) aims to understand opinions in a granular manner, advancing human-computer interaction and other fields. Traditionally, MABSA met…