Hengrui Gu

According to our database, Hengrui Gu authored at least 14 papers between 2023 and 2025.

Collaborative distances:

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

2025

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification.

Ruxue Shi, Hengrui Gu, Xu Shen, Xin Wang

CoRR, May, 2025

Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning.

Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang

CoRR, May, 2025

Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense.

Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Tianlong Chen, Kaixiong Zhou

CoRR, January, 2025

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit.

Huixue Zhou, Hengrui Gu, Xi Liu, Kaixiong Zhou, Mingfu Liang, Yongkang Xiao, Srinivas Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen

CoRR, January, 2025

Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense.

Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Meijun Gao, Tianlong Chen, Kaixiong Zhou

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models.

Kaishen Wang, Hengrui Gu, Meijun Gao, Kaixiong Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit.

Huixue Zhou, Hengrui Gu, Zaifu Zhan, Xi Liu, Kaixiong Zhou, Yongkang Xiao, Mingfu Liang, Srinivas Prasad Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Cross-Lingual Multi-Hop Knowledge Editing - Benchmarks, Analysis and a Simple Contrastive Learning based Approach.

Aditi Khandelwal, Harman Singh, Hengrui Gu, Tianlong Chen, Kaixiong Zhou

CoRR, 2024

LGCRS: LLM-Guided Representation-Enhancing for Conversational Recommender System.

Ruobing Wang, Xin He, Hengrui Gu, Xin Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Cross-Lingual Multi-Hop Knowledge Editing.

Aditi Khandelwal, Harman Singh, Hengrui Gu, Tianlong Chen, Kaixiong Zhou

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

Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment.

Yiwei Dai, Hengrui Gu, Ying Wang, Xin Wang

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

Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion.

Hengrui Gu, Kaixiong Zhou, Yili Wang, Ruobing Wang, Xin Wang

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

PokeMQA: Programmable knowledge editing for Multi-hop Question Answering.

Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

LAGCL: Towards Stable and Automated Graph Contrastive Learning.

Hengrui Gu, Ying Wang, Xin Wang

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023