| 2026 | ACL | Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models. | Guangyu Yang, Jinghong Chen, Jingbiao Mei, Weizhe Lin, Bill Byrne |
| 2026 | ACL | Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats. | Pengxiang Zhao, Hui-Ling Zhen, Xing Li, Han Bao, Weizhe Lin, Zhiyuan Yang, Yu Zi Wei, Xin Wang, Mingxuan Yuan, Xianzhi Yu, Zhenhua Dong |
| 2025 | EMNLP | Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection. | Jingbiao Mei, Jinghong Chen, Guangyu Yang, Weizhe Lin, Bill Byrne |
| 2025 | EMNLP | X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding. | Wenqi Zhou, Kai Cao, Hao Zheng, Yunze Liu, Xinyi Zheng, Miao Liu, Per Ola Kristensson, Walterio W. Mayol-Cuevas, Fan Zhang, Weizhe Lin, Junxiao Shen |
| 2025 | ICCV | CULTURE3D: A Large-Scale and Diverse Dataset of Cultural Landmarks and Terrains for Gaussian-Based Scene Rendering. | Xinyi Zheng, Steve Zhang, Weizhe Lin, Aaron Zhang, Walterio W. Mayol-Cuevas, Yunze Liu, Junxiao Shen |
| 2024 | ACL | PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. | Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne |
| 2024 | ACL | Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning. | Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin |
| 2024 | NAACL | Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata. | Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne |
| 2024 | NAACL | Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. | Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne |
| 2023 | ACL | An Inner Table Retriever for Robust Table Question Answering. | Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adri de Gispert, Gonzalo Iglesias |
| 2023 | ACL | LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering. | Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adri de Gispert, Gonzalo Iglesias |
| 2023 | EACL | More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. | Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne |
| 2023 | EACL | FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. | Weizhe Lin, Zhilin Wang, Bill Byrne |
| 2023 | SIGdial | Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns. | Alexandru Coca, Bo-Hsiang Tseng, Jinghong Chen, Weizhe Lin, Weixuan Zhang, Tisha Anders, Bill Byrne |
| 2022 | EMNLP | Retrieval Augmented Visual Question Answering with Outside Knowledge. | Weizhe Lin, Bill Byrne |
| 2022 | RecSys | Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. | Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang |
| 2022 | RecSys | Transformer-Empowered Content-Aware Collaborative Filtering. | Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang |
| 2021 | EMNLP | Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. | Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne |