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cs.CL2026

MoCA: Implicit Social Context Analysis

Wenhao Xu, Kaiwen Zhang, Hao Li +10

Human social communication, such as affection and intent, is often conveyed in highly implicit ways, where underlying meanings are expressed through indirect, socially and cultural…

cs.CL2026

LASQ: A Low-resource Aspect-based Sentiment Quadruple Extraction Dataset

Aizihaierjiang Yusufu, Jiang Liu, Kamran Aziz +5

In recent years, aspect-based sentiment analysis (ABSA) has made rapid progress and shown strong practical value. However, existing research and benchmarks are largely concentrated…

cs.CL2025

Event Extraction in Large Language Model

Bobo Li, Xudong Han, Jiang Liu +11

Large language models (LLMs) and multimodal LLMs are changing event extraction (EE): prompting and generation can often produce structured outputs in zero shot or few shot settings…

cs.CL2025

Zero-Shot Conversational Stance Detection: Dataset and Approaches

Yuzhe Ding, Kang He, Bobo Li +5

Stance detection, which aims to identify public opinion towards specific targets using social media data, is an important yet challenging task. With the increasing number of online…

cs.CL2025

FormFactory: An Interactive Benchmarking Suite for Multimodal Form-Filling Agents

Bobo Li, Yuheng Wang, Hao Fei +4

Online form filling is a common yet labor-intensive task involving extensive keyboard and mouse interactions. Despite the long-standing vision of automating this process with "one…

cs.CL2024

MD: A Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction

Jiang Liu, Bobo Li, Xinran Yang +5

Multimodal information extraction (IE) tasks have attracted increasing attention because many studies have shown that multimodal information benefits text information extraction. H…