4 citations · 13 across the 20 of their papers we have counts for
21 papers
YNU-HPCC at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Using Multiple Prediction Headers
Hao Yang, Jin Wang, Xuejie Zhang
This paper describes the participation of the YNU-HPCC team in subtask A of task 11, Bridging the Gap in Text-Based Emotion at SemEval-2025. Our best-performing system employs the…
EVL-MCoT: Enhanced Vision-Language Multi-CoT for Harmful Meme Detection
Hao Yang, Jin Wang, Xuejie Zhang
MEMEs are widely used on the internet and often carry strong elements of sarcasm or irony. Understanding their hidden meanings typically requires a joint interpretation of text and…
Visual Saliency Steering Distillation for Multimodal Chain-of-Thought Reasoning
Hao Yang, Jin Wang, Xuejie Zhang
Multimodal chain-of-thought (CoT) reasoning integrates visual and textual cues through step-by-step inference. In small models with limited token budgets, modality-interaction fusi…
SAPO: Self-Adaptive Process Optimization Makes Small Reasoners Stronger
Kaiyuan Chen, Guangmin Zheng, Jin Wang +2
Existing self-evolution methods overlook the influence of fine-grained reasoning steps, which leads to the reasoner-verifier gap. The computational inefficiency of Monte Carlo (MC)…
LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models
Tiesunlong Shen, Rui Mao, Jin Wang +4
Aligning Large Language Models (LLMs) with human preferences is critical, yet traditional fine-tuning methods are computationally expensive and inflexible. While test-time alignmen…
Sample-aware Adaptive Structured Pruning for Large Language Models
Jun Kong, Xinge Ma, Jin Wang +1
Large language models (LLMs) have achieved outstanding performance in natural language processing, but enormous model sizes and high computational costs limit their practical deplo…
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation
Kuanghong Liu, Jin Wang, Kangjian He +2
Conventional multi-source domain few-shot adaptation (MFDA) faces the challenge of further reducing the load on edge-side devices in low-resource scenarios. Considering the native…
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective
You Zhang, Jin Wang, Liang-Chih Yu +2
Current neural networks often employ multi-domain-learning or attribute-injecting mechanisms to incorporate non-independent and identically distributed (non-IID) information for te…
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation
Xinge Ma, Jin Wang, Xuejie Zhang
Federated learning (FL) enables decentralized clients to collaboratively train a global model under the orchestration of a central server without exposing their individual data. Ho…
Learning to Reason via Self-Iterative Process Feedback for Small Language Models
Kaiyuan Chen, Jin Wang, Xuejie Zhang
Small language models (SLMs) are more efficient, cost-effective, and customizable than large language models (LLMs), though they often underperform in specific areas like reasoning…
Chinese Metaphor Recognition Using a Multi-stage Prompting Large Language Model
Jie Wang, Jin Wang, Xuejie Zhang
Metaphors are common in everyday language, and the identification and understanding of metaphors are facilitated by models to achieve a better understanding of the text. Metaphors…
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…
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…
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…
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,…
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…
Personalized LoRA for Human-Centered Text Understanding
You Zhang, Jin Wang, Liang-Chih Yu +2
Effectively and efficiently adapting a pre-trained language model (PLM) for human-centered text understanding (HCTU) is challenging since user tokens are million-level in most pers…
Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues
Ruijun Chen, Jin Wang, Liang-Chih Yu +1
Maintaining engagement and consistency is particularly important in dialogue systems. Existing works have improved the performance of dialogue systems by intentionally learning int…
HPCC-YNU at SemEval-2020 Task 9: A Bilingual Vector Gating Mechanism for Sentiment Analysis of Code-Mixed Text
Jun Kong, Jin Wang, Xuejie Zhang
It is fairly common to use code-mixing on a social media platform to express opinions and emotions in multilingual societies. The purpose of this task is to detect the sentiment of…
YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles
Jiaxu Dao, Jin Wang, Xuejie Zhang
This paper summarizes our studies on propaganda detection techniques for news articles in the SemEval-2020 task 11. This task is divided into the SI and TC subtasks. We implemented…
YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis
Li Yuan, Jin Wang, Xuejie Zhang
In recent years, the growing ubiquity of Internet memes on social media platforms, such as Facebook, Instagram, and Twitter, has become a topic of immense interest. However, the cl…