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20232026
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7 papers · 1 filter

cs.CL2026

Not All or None: Dynamic Construction of Target-aware Memory Graph for Conversational Stance Detection

Yifan Xiang, Bin Liang, Yuqi Huang +2

Stance detection is crucial for understanding the underlying attitude of an expression towards a target. Conversational stance detection is a more challenging stance detection task…

cs.CL2026

Write, Execute, Refine: From Skill Followers to Skill Optimizers via Reinforcement Learning from Execution Feedback

Kang Peng, Zhiwei Zhang, Yichen Zhang +7

Expert-written natural language skills can improve tool-using agents, yet agent-authored skills perform 8-11 points worse than using no skill. This gap suggests that following proc…

cs.CL2025

CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation

Jingqian Zhao, Bingbing Wang, Geng Tu +5

Data contamination poses a significant challenge to the fairness of LLM evaluations in natural language processing tasks by inadvertently exposing models to test data during traini…

cs.CL2025

MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection

Bingbing Wang, Zhengda Jin, Bin Liang +4

Multimodal Stance Detection (MSD) is a crucial task for understanding public opinion on social media. Existing methods predominantly operate by learning to fuse modalities. They la…

cs.CL2024

Multi-modal Stance Detection: New Datasets and Model

Bin Liang, Ang Li, Jingqian Zhao +5

Stance detection is a challenging task that aims to identify public opinion from social media platforms with respect to specific targets. Previous work on stance detection largely…

cs.CL2024

Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration

Ang Li, Jingqian Zhao, Bin Liang +6

Stance detection is critical for understanding the underlying position or attitude expressed toward a topic. Large language models (LLMs) have demonstrated significant advancements…