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20232026
most citedCue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs

4 citations · 10 across the 9 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.MM2024

Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition

Bingbing Wang, Bin Liang, Chun-Mei Feng +6

In real-world conversations, the diversity and ambiguity of stickers often lead to varied interpretations based on the context, necessitating the requirement for comprehensively un…

cs.MM2024★ 2 cited

Reply with Sticker: New Dataset and Model for Sticker Retrieval

Bin Liang, Bingbing Wang, Zhixin Bai +6

Using stickers in online chatting is very prevalent on social media platforms, where the stickers used in the conversation can express someone's intention/emotion/attitude in a viv…

cs.CL2024★ 1 cited

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★ 1 cited

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…

cs.LG2024★ 2 cited

COPR: Continual Human Preference Learning via Optimal Policy Regularization

Han Zhang, Lin Gui, Yu Lei +8

Reinforcement Learning from Human Feedback (RLHF) is commonly utilized to improve the alignment of Large Language Models (LLMs) with human preferences. Given the evolving nature of…