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Jingbiao Mei
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2020 – today
- 2024
- [c5]Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne:
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. ACL (1) 2024: 5294-5316 - [c4]Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin:
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning. ACL (1) 2024: 5333-5347 - [c3]Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne:
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata. NAACL (Short Papers) 2024: 508-518 - [i6]Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne:
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. CoRR abs/2402.08327 (2024) - [i5]Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne:
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata. CoRR abs/2404.06854 (2024) - [i4]Jinghong Chen, Guangyu Yang, Weizhe Lin, Jingbiao Mei, Bill Byrne:
On Extending Direct Preference Optimization to Accommodate Ties. CoRR abs/2409.17431 (2024) - 2023
- [c2]Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne:
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering. NeurIPS 2023 - [i3]Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne:
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering. CoRR abs/2309.17133 (2023) - [i2]Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin:
Improving hateful memes detection via learning hatefulness-aware embedding space through retrieval-guided contrastive learning. CoRR abs/2311.08110 (2023) - 2022
- [i1]Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang:
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. CoRR abs/2210.01795 (2022) - 2021
- [c1]Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang:
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. DAC 2021: 487-492
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last updated on 2024-10-18 20:26 CEST by the dblp team
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