Guimin Hu

According to our database, Guimin Hu authored at least 31 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification.

Zhifeng Hao, Zhongjie Chen, Junhao Lu, Shengyin Yu, Guimin Hu, Keli Zhang, Ruichu Cai, Boyan Xu

CoRR, May, 2026

What Gets Activated: Uncovering Domain and Driver Experts in MoE Language Models.

Guimin Hu, Meng Li, Qiwei Peng, Lijie Hu, Boyan Xu, Ruichu Cai

CoRR, January, 2026

CMCTS: A Constrained Monte Carlo Tree Search framework for mathematical reasoning in large language model.

Qingwen Lin, Boyan Xu, Guimin Hu, Zijian Li, Zhifeng Hao, Keli Zhang, Ruichu Cai

Appl. Intell., January, 2026

HapticLLaMA: A Multimodal Sensory Language Model for Haptic Captioning.

Guimin Hu, Daniel Hershcovich, Hasti Seifi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

S³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection.

Zhihong Zhu, Fan Zhang, Yunyan Zhang, Jinghan Sun, Guimin Hu, Hao Wu, Yuyan Chen, Bowen Xing, Xian Wu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

D-LEAF: Localizing and Correcting Hallucinations in Multimodal LLMs via Layer-to-head Attention Diagnostics.

Tiancheng Yang, Lin Zhang, Jiaye Lin, Guimin Hu, Di Wang, Lijie Hu

CoRR, September, 2025

MSRS: Adaptive Multi-Subspace Representation Steering for Attribute Alignment in Large Language Models.

Xinyan Jiang, Lin Zhang, Jiayi Zhang, Qingsong Yang, Guimin Hu, Di Wang, Lijie Hu

CoRR, August, 2025

Partitioner Guided Modal Learning Framework.

Guimin Hu, Yi Xin, Lijie Hu, Zhihong Zhu, Hasti Seifi

CoRR, July, 2025

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images.

Liangliang You, Junchi Yao, Shu Yang, Guimin Hu, Lijie Hu, Di Wang

CoRR, June, 2025

C² ATTACK: Towards Representation Backdoor on CLIP via Concept Confusion.

Lijie Hu, Junchi Liao, Weimin Lyu, Shaopeng Fu, Tianhao Huang, Shu Yang, Guimin Hu, Di Wang

CoRR, March, 2025

PgM: Partitioner Guided Modal Learning Framework.

Guimin Hu, Yi Xin, Lijie Hu, Zhihong Zhu, Hasti Seifi

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Debiasing Multilingual LLMs in Cross-lingual Latent Space.

Qiwei Peng, Guimin Hu, Yekun Chai, Anders Søgaard

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals.

Guimin Hu, Daniel Hershcovich, Hasti Seifi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Explicitly Guided Difficulty-Controllable Visual Question Generation.

Jiayuan Xie, Mengqiu Cheng, Xinting Zhang, Yi Cai, Guimin Hu, Mengying Xie, Qing Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Improving Representation With Hierarchical Contrastive Learning for Emotion-Cause Pair Extraction.

Guimin Hu, Yi Zhao, Guangming Lu

IEEE Trans. Affect. Comput., 2024

Unifying emotion-oriented and cause-oriented predictions for emotion-cause pair extraction.

Guimin Hu, Yi Zhao, Guangming Lu

Neural Networks, 2024

Retrieving Implicit and Explicit Emotional Events Using Large Language Models.

Guimin Hu

CoRR, 2024

Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective.

Guimin Hu, Yi Xin, Weimin Lyu, Haojian Huang, Chang Sun, Zhihong Zhu, Lin Gui, Ruichu Cai

CoRR, 2024

UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause.

Guimin Hu, Zhihong Zhu, Daniel Hershcovich, Hasti Seifi, Jiayuan Xie

CoRR, 2024

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark.

Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina E. Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing.

Zhihong Zhu, Xianwei Zhuang, Yunyan Zhang, Derong Xu, Guimin Hu, Xian Wu, Yefeng Zheng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture.

Wenyan Li, Xinyu Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, Guimin Hu, Yifei Yuan, Anders Søgaard, Daniel Hershcovich, Desmond Elliott

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause.

Guimin Hu, Zhihong Zhu, Daniel Hershcovich, Lijie Hu, Hasti Seifi, Jiayuan Xie

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Towards Multi-modal Sarcasm Detection via Disentangled Multi-grained Multi-modal Distilling.

Zhihong Zhu, Xuxin Cheng, Guimin Hu, Yaowei Li, Zhiqi Huang, Yuexian Zou

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Grounding Emotional Descriptions to Electrovibration Haptic Signals.

Guimin Hu, Zirui Zhao, Lukas Heilmann, Yasemin Vardar, Hasti Seifi

Proceedings of the 12th International Conference on Affective Computing and Intelligent Interaction, 2024

2023

Emotion Prediction Oriented Method With Multiple Supervisions for Emotion-Cause Pair Extraction.

Guimin Hu, Yi Zhao, Guangming Lu

IEEE ACM Trans. Audio Speech Lang. Process., 2023

2022

An exploration of mutual information based on emotion-cause pair extraction.

Guimin Hu, Yi Zhao, Guangming Lu, Fanghao Yin, Jiashan Chen

Knowl. Based Syst., 2022

UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition.

Guimin Hu, Ting-En Lin, Yi Zhao, Guangming Lu, Yuchuan Wu, Yongbin Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

FSS-GCN: A graph convolutional networks with fusion of semantic and structure for emotion cause analysis.

Guimin Hu, Guangming Lu, Yi Zhao

Knowl. Based Syst., 2021

Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction.

Guimin Hu, Guangming Lu, Yi Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Emotion-Cause Joint Detection: A Unified Network with Dual Interaction for Emotion Cause Analysis.

Guimin Hu, Guangming Lu, Yi Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2020