Jingbiao Mei

According to our database, Jingbiao Mei authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

BERAG: Bayesian Ensemble Retrieval-Augmented Generation for Knowledge-based Visual Question Answering.

Jinghong Chen, Jingbiao Mei, Guangyu Yang, Bill Byrne

CoRR, April, 2026

According to Me: Long-Term Personalized Referential Memory QA.

Jingbiao Mei, Jinghong Chen, Guangyu Yang, Xinyu Hou, Margaret Li, Bill Byrne

CoRR, March, 2026

Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models.

Guangyu Yang, Jinghong Chen, Jingbiao Mei, Weizhe Lin, Bill Byrne

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

ExPO-HM: Learning to Explain-then-Detect for Hateful Meme Detection.

Jingbiao Mei, Mingsheng Sun, Jinghong Chen, Pengda Qin, Yuhong Li, Da Chen, Bill Byrne

CoRR, October, 2025

Improved Fine-Tuning of Large Multimodal Models for Hateful Meme Detection.

Jingbiao Mei, Jinghong Chen, Guangyu Yang, Weizhe Lin, Bill Byrne

CoRR, February, 2025

Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection.

Jingbiao Mei, Jinghong Chen, Guangyu Yang, Weizhe Lin, Bill Byrne

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

2024

On Extending Direct Preference Optimization to Accommodate Ties.

Jinghong Chen, Guangyu Yang, Weizhe Lin, Jingbiao Mei, Bill Byrne

CoRR, 2024

Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata.

Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning.

Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin

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

PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers.

Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne

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

2023

Improving hateful memes detection via learning hatefulness-aware embedding space through retrieval-guided contrastive learning.

Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin

CoRR, 2023

Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering.

Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture.

Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021