activity
20202026
most citedSoftMCL: Soft Momentum Contrastive Learning for Fine-grained Sentiment-aware Pre-training

4 citations · 10 across the 14 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

Zero-Shot Cross-Domain Dialogue State Tracking via Dual Low-Rank Adaptation

Xiang Luo, Zhiwen Tang, Jin Wang +1

Zero-shot dialogue state tracking (DST) seeks to enable dialogue systems to transition to unfamiliar domains without manual annotation or extensive retraining. Prior research has a…

cs.CL2024★ 2 cited

Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis

Guangmin Zheng, Jin Wang, Liang-Chih Yu +1

Aspect-based sentiment analysis (ABSA) identifies sentiment information related to specific aspects and provides deeper market insights to businesses and organizations. With the em…

cs.CL2024★ 2 cited

DuetSim: Building User Simulator with Dual Large Language Models for Task-Oriented Dialogues

Xiang Luo, Zhiwen Tang, Jin Wang +1

User Simulators play a pivotal role in training and evaluating task-oriented dialogue systems. Traditional user simulators typically rely on human-engineered agendas, resulting in…

cs.CL2024

Enhancing Semantics in Multimodal Chain of Thought via Soft Negative Sampling

Guangmin Zheng, Jin Wang, Xiaobing Zhou +1

Chain of thought (CoT) has proven useful for problems requiring complex reasoning. Many of these problems are both textual and multimodal. Given the inputs in different modalities,…

cs.CL2024★ 4 cited

SoftMCL: Soft Momentum Contrastive Learning for Fine-grained Sentiment-aware Pre-training

Jin Wang, Liang-Chih Yu, Xuejie Zhang

The pre-training for language models captures general language understanding but fails to distinguish the affective impact of a particular context to a specific word. Recent works…