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2020 – today
- 2025
[i23]Wenqi Zhou, Kai Cao, Hao Zheng, Xinyi Zheng, Miao Liu, Per Ola Kristensson, Walterio W. Mayol-Cuevas, Fan Zhang, Weizhe Lin, Junxiao Shen:
X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding. CoRR abs/2501.06835 (2025)- [i22]Xinyi Zheng, Steve Zhang, Weizhe Lin, Aaron Zhang, Walterio W. Mayol-Cuevas, Junxiao Shen:
CULTURE3D: Cultural Landmarks and Terrain Dataset for 3D Applications. CoRR abs/2501.06927 (2025) - [i21]Jingbiao Mei, Jinghong Chen, Guangyu Yang, Weizhe Lin, Bill Byrne:
Improved Fine-Tuning of Large Multimodal Models for Hateful Meme Detection. CoRR abs/2502.13061 (2025) - 2024
- [c17]Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne:
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. ACL (1) 2024: 5294-5316 - [c16]Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin:
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning. ACL (1) 2024: 5333-5347 - [c15]Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne:
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. NAACL (Short Papers) 2024: 391-398 - [c14]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 - [i20]Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne:
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. CoRR abs/2402.08327 (2024) - [i19]Igor Sterner, Weizhe Lin, Jinghong Chen, Bill Byrne:
Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches. CoRR abs/2403.11317 (2024) - [i18]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) - [i17]Jinghong Chen, Guangyu Yang, Weizhe Lin, Jingbiao Mei, Bill Byrne:
On Extending Direct Preference Optimization to Accommodate Ties. CoRR abs/2409.17431 (2024) - [i16]Zihong He, Weizhe Lin, Hao Zheng, Fan Zhang, Matt W. Jones, Laurence Aitchison, Xuhai Xu, Miao Liu, Per Ola Kristensson, Junxiao Shen:
Human-inspired Perspectives: A Survey on AI Long-term Memory. CoRR abs/2411.00489 (2024) - [i15]Weizhe Lin, Junxiao Shen:
Lucia: A Temporal Computing Platform for Contextual Intelligence. CoRR abs/2411.12778 (2024) - 2023
- [j3]Kangyu Ji
, Weizhe Lin, Yuqi Sun, Lin-Song Cui, Javad Shamsi, Yu-Hsien Chiang, Jiawei Chen, Elizabeth M. Tennyson, Linjie Dai, Qingbiao Li, Kyle Frohna, Miguel Anaya, Neil C. Greenham, Samuel D. Stranks:
Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging. Nat. Mac. Intell. 5(11): 1225-1235 (2023) - [j2]Weizhe Lin, Indigo Orton, Qingbiao Li, Gabriela Pavarini, Marwa Mahmoud:
Looking at the Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress. IEEE Trans. Affect. Comput. 14(2): 1175-1187 (2023) - [c13]Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias:
LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering. ACL (2) 2023: 1557-1566 - [c12]Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias:
An Inner Table Retriever for Robust Table Question Answering. ACL (1) 2023: 9909-9926 - [c11]Weizhe Lin, Zhilin Wang, Bill Byrne:
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. EACL (Findings) 2023: 149-157 - [c10]Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne:
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. EACL (Findings) 2023: 1413-1424 - [c9]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 - [c8]Alexandru Coca, Bo-Hsiang Tseng, Jinghong Chen, Weizhe Lin, Weixuan Zhang, Tisha Anders, Bill Byrne:
Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns. SIGDIAL 2023: 444-456 - [i14]Jinghong Chen, Weizhe Lin, Bill Byrne:
Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation. CoRR abs/2301.12568 (2023) - [i13]Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne:
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. CoRR abs/2303.09905 (2023) - [i12]Weizhe Lin, Zhilin Wang, Bill Byrne:
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. CoRR abs/2303.10699 (2023) - [i11]Alexandru Coca, Bo-Hsiang Tseng, Jinghong Chen, Weizhe Lin, Weixuan Zhang, Tisha Anders, Bill Byrne:
Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns. CoRR abs/2309.13448 (2023) - [i10]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) - [i9]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) - [i8]Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne:
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. CoRR abs/2311.08380 (2023) - 2022
- [c7]Weizhe Lin, Bill Byrne:
Retrieval Augmented Visual Question Answering with Outside Knowledge. EMNLP 2022: 11238-11254 - [c6]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. KaRS@RecSys 2022: 45-52 - [c5]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. KaRS@RecSys 2022: 53-64 - [i7]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR abs/2204.00849 (2022) - [i6]Weizhe Lin, Bill Byrne:
Retrieval Augmented Visual Question Answering with Outside Knowledge. CoRR abs/2210.03809 (2022) - 2021
- [j1]Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok:
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. IEEE Robotics Autom. Lett. 6(3): 5533-5540 (2021) - [c4]Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne:
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. EMNLP (1) 2021: 7871-7881 - [i5]Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne:
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. CoRR abs/2104.04466 (2021) - 2020
- [c3]Ziheng Zhang, Weizhe Lin, Mingyu Liu, Marwa Mahmoud:
Multimodal Deep Learning Framework for Mental Disorder Recognition. FG 2020: 344-350 - [c2]Weizhe Lin, Indigo Orton, Mingyu Liu, Marwa Mahmoud:
Automatic Detection of Self-Adaptors for Psychological Distress. FG 2020: 371-378 - [i4]Xiaodong Wu, Weizhe Lin, Zhilin Wang, Elena Rastorgueva:
Author2Vec: A Framework for Generating User Embedding. CoRR abs/2003.11627 (2020) - [i3]Weizhe Lin, Indigo Orton, Qingbiao Li, Gabriela Pavarini, Marwa Mahmoud:
Looking At The Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress. CoRR abs/2007.15815 (2020) - [i2]Zhilin Wang, Weizhe Lin, Xiaodong Wu:
Identifying Similar Movie Characters Quickly but Effectively Using Non-exhaustive Pair-wise Attention. CoRR abs/2010.12183 (2020) - [i1]Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok:
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. CoRR abs/2011.13219 (2020)
2010 – 2019
- 2019
- [c1]Zhilin Wang, Elena Rastorgueva, Weizhe Lin, Xiaodong Wu:
No, you're not alone: A better way to find people with similar experiences on Reddit. W-NUT@EMNLP 2019: 307-315
Coauthor Index
aka: Bill Byrne
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