| 2026 | ACL | Benchmarking Deflection and Hallucination in Large Vision-Language Models. | Nicholas Moratelli, Christopher Davis, Leonardo F. R. Ribeiro, Bill Byrne, Gonzalo Iglesias |
| 2026 | ACL | What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation. | Shaomu Tan, Dawei Zhu, Ke Tran, Michael J. Denkowski, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber |
| 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 | EACL | Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models. | Francesco Maria Molfese, Momchil Hardalov, Rexhina Blloshmi, Bill Byrne, Adri de Gispert |
| 2025 | ACL | Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models. | Adrin Bazaga, Rexhina Blloshmi, Bill Byrne, Adri de Gispert |
| 2025 | EMNLP | RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation. | Andrei Catalin Coman, Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro, Bill Byrne, James Henderson, Adri de Gispert |
| 2025 | EMNLP | XRAG: Cross-lingual Retrieval-Augmented Generation. | Wei Liu, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber |
| 2025 | EMNLP | Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection. | Jingbiao Mei, Jinghong Chen, Guangyu Yang, Weizhe Lin, Bill Byrne |
| 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 | ACL | The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. | David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran |
| 2024 | EMNLP | Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision. | Philipp Christmann, Svitlana Vakulenko, Ionut Sorodoc, Bill Byrne, Adri de Gispert |
| 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 |
| 2024 | NAACL | A Preference-driven Paradigm for Enhanced Translation with Large Language Models. | Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler |
| 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 | ACL | xPQA: Cross-Lingual Product Question Answering in 12 Languages. | Xiaoyu Shen, Akari Asai, Bill Byrne, Adri de Gispert |
| 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 | EACL | Neural Ranking with Weak Supervision for Open-Domain Question Answering : A Survey. | Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, Adri de Gispert |
| 2023 | ECAI | Uniform Training and Marginal Decoding for Multi-Reference Question-Answer Generation. | Svitlana Vakulenko, Bill Byrne, Adri de Gispert |
| 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 | ACL | uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation. | Tisha Anders, Alexandru Coca, Bill Byrne |
| 2022 | ACL | First the Worst: Finding Better Gender Translations During Beam Search. | Danielle Saunders, Rosie Sallis, Bill Byrne |
| 2022 | EMNLP | FocusQA: Open-Domain Question Answering with a Context in Focus. | Gianni Barlacchi, Ivano Lauriola, Alessandro Moschitti, Marco Del Tredici, Xiaoyu Shen, Thuy Vu, Bill Byrne, Adri de Gispert |
| 2022 | EMNLP | Retrieval Augmented Visual Question Answering with Outside Knowledge. | Weizhe Lin, Bill Byrne |
| 2022 | NAACL | The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. | Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber |
| 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 | ACL | TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems. | Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Mihir Sanjay Kale |
| 2021 | ACL | Transferable Dialogue Systems and User Simulators. | Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne |
| 2021 | EMNLP | Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. | Eva Hasler, Tobias Domhan, Jonay Trnous, Ke Tran, Bill Byrne, Felix Hieber |
| 2021 | EMNLP | Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. | Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne |
| 2020 | ACL | Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem. | Danielle Saunders, Bill Byrne |
| 2020 | ACL | Using Context in Neural Machine Translation Training Objectives. | Danielle Saunders, Felix Stahlberg, Bill Byrne |
| 2019 | ACL | Domain Adaptive Inference for Neural Machine Translation. | Danielle Saunders, Felix Stahlberg, Adri de Gispert, Bill Byrne |
| 2019 | EMNLP | Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. | Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik |
| 2019 | EMNLP | On NMT Search Errors and Model Errors: Cat Got Your Tongue? | Felix Stahlberg, Bill Byrne |
| 2019 | EMNLP | Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling. | Bo-Hsiang Tseng, Marek Rei, Pawel Budzianowski, Richard E. Turner, Bill Byrne, Anna Korhonen |
| 2019 | NAACL | Neural Grammatical Error Correction with Finite State Transducers. | Felix Stahlberg, Christopher Bryant, Bill Byrne |
| 2019 | SIGdial | Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences. | Filip Radlinski, Krisztian Balog, Bill Byrne, Karthik Krishnamoorthi |
| 2018 | ACL | Multi-representation ensembles and delayed SGD updates improve syntax-based NMT. | Danielle Saunders, Felix Stahlberg, Adri de Gispert, Bill Byrne |
| 2018 | AMTA | Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation. | Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne |
| 2018 | EMNLP | An Operation Sequence Model for Explainable Neural Machine Translation. | Felix Stahlberg, Danielle Saunders, Bill Byrne |
| 2018 | NAACL | Neural Machine Translation Decoding with Terminology Constraints. | Eva Hasler, Adri de Gispert, Gonzalo Iglesias, Bill Byrne |
| 2018 | NAACL | Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment. | Gonzalo Iglesias, William Tambellini, Adri de Gispert, Eva Hasler, Bill Byrne |
| 2017 | EACL | Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices. | Felix Stahlberg, Adri de Gispert, Eva Hasler, Bill Byrne |
| 2017 | EMNLP | Unfolding and Shrinking Neural Machine Translation Ensembles. | Felix Stahlberg, Bill Byrne |
| 2017 | EMNLP | SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies. | Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne |
| 2017 | EMNLP | Break it Down for Me: A Study in Automated Lyric Annotation. | Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder |
| 2017 | INLG | A Comparison of Neural Models for Word Ordering. | Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adri de Gispert, Bill Byrne |
| 2016 | ACL | Syntactically Guided Neural Machine Translation. | Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne |
| 2016 | NAACL | Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. | Daniel Beck, Adri de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne |
| 2015 | EMNLP | Transducer Disambiguation with Sparse Topological Features. | Gonzalo Iglesias, Adri de Gispert, Bill Byrne |
| 2015 | NAACL | Fast and Accurate Preordering for SMT using Neural Networks. | Adri de Gispert, Gonzalo Iglesias, Bill Byrne |
| 2015 | NAACL | The Geometry of Statistical Machine Translation. | Aurelien Waite, Bill Byrne |
| 2014 | COLING | Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation. | Tong Xiao, Adri de Gispert, Jingbo Zhu, Bill Byrne |
| 2014 | EACL | Word Ordering with Phrase-Based Grammars. | Adri de Gispert, Marcus Tomalin, Bill Byrne |
| 2014 | EACL | Source-side Preordering for Translation using Logistic Regression and Depth-first Branch-and-Bound Search. | Laura Jehl, Adri de Gispert, Mark Hopkins, Bill Byrne |
| 2002 | ICASSP | Structurally discriminative graphical models for automatic speech recognition - results from the 2001 Johns Hopkins Summer Workshop. | Geoffrey Zweig, Jeff A. Bilmes, Thomas Richardson, Karim Filali, Karen Livescu, Peng Xu, Kirk Jackson, Yigal Brandman, Eric D. Sandness, Eva Holtz, Jerry Torres, Bill Byrne |