Bill Byrne

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 111

Top Venues

Publications

Igor Sterner, Weizhe Lin, Jinghong Chen, Bill Byrne
Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches. CoRR (2024)
Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata. CoRR (2024)
Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning. ACL (1) (2024)
Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler
A Preference-driven Paradigm for Enhanced Translation with Large Language Models. NAACL-HLT (2024)
David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. ACL (1) (2024)
Hakim Sidahmed, Samrat Phatale, Alex Hutcheson, Zhuonan Lin, Zhang Chen, Zac Yu, Jarvis Jin, Roman Komarytsia, Christiane Ahlheim, Yonghao Zhu, Simral Chaudhary, Bowen Li, Saravanan Ganesh, Bill Byrne, Jessica Hoffmann, Hassan Mansoor, Wei Li, Abhinav Rastogi, Lucas Dixon
PERL: Parameter Efficient Reinforcement Learning from Human Feedback. CoRR (2024)
Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. ACL (1) (2024)
Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. CoRR (2024)
David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke M. Tran
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. CoRR (2024)
Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler
A Preference-driven Paradigm for Enhanced Translation with Large Language Models. CoRR (2024)
Xiaoyu Shen, Akari Asai, Bill Byrne, Adrià de Gispert
xPQA: Cross-Lingual Product Question Answering in 12 Languages. ACL (industry) (2023)
Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. CoRR (2023)
Weizhe Lin, Zhilin Wang, Bill Byrne
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. CoRR (2023)
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)
Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, Adrià de Gispert
Neural Ranking with Weak Supervision for Open-Domain Question Answering : A Survey. EACL (Findings) (2023)
Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. EACL (Findings) (2023)
Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering. CoRR (2023)
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)
Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias
An Inner Table Retriever for Robust Table Question Answering. ACL (1) (2023)
Junxiao Shen, John J. Dudley, Jingyao Zheng, Bill Byrne, Per Ola Kristensson
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques. CoRR (2023)
Jinghong Chen, Weizhe Lin, Bill Byrne
Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation. CoRR (2023)
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)
Weizhe Lin, Zhilin Wang, Bill Byrne
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. EACL (Findings) (2023)
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 (2023)
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 (2023)
Svitlana Vakulenko, Bill Byrne, Adrià de Gispert
Uniform Training and Marginal Decoding for Multi-Reference Question-Answer Generation. ECAI (2023)
Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. CoRR (2023)
Xiaoyu Shen, Akari Asai, Bill Byrne, Adrià de Gispert
xPQA: Cross-Lingual Product Question Answering across 12 Languages. CoRR (2023)
Weizhe Lin, Bill Byrne
Retrieval Augmented Visual Question Answering with Outside Knowledge. CoRR (2022)
Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi, Bill Byrne, Adrià de Gispert
From Rewriting to Remembering: Common Ground for Conversational QA Models. CoRR (2022)
Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. CoRR (2022)
Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. NAACL-HLT (2022)
Weizhe Lin, Bill Byrne
Retrieval Augmented Visual Question Answering with Outside Knowledge. EMNLP (2022)
Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, Adrià de Gispert
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey. CoRR (2022)
Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR (2022)
Danielle Saunders, Rosie Sallis, Bill Byrne
First the Worst: Finding Better Gender Translations During Beam Search. ACL (Findings) (2022)
Tisha Anders, Alexandru Coca, Bill Byrne
uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation. ACL (Findings) (2022)
Gianni Barlacchi, Ivano Lauriola, Alessandro Moschitti, Marco Del Tredici, Xiaoyu Shen, Thuy Vu, Bill Byrne, Adrià de Gispert
FocusQA: Open-Domain Question Answering with a Context in Focus. EMNLP (Findings) (2022)
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)
Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi, Bill Byrne, Adrià de Gispert
From Rewriting to Remembering: Common Ground for Conversational QA Models. ConvAI@ACL (2022)
Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang
Transformer-Empowered Content-Aware Collaborative Filtering. KaRS@RecSys (2022)
Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne
Transferable Dialogue Systems and User Simulators. ACL/IJCNLP (1) (2021)
Eva Hasler, Tobias Domhan, Jonay Trenous, Ke Tran, Bill Byrne, Felix Hieber
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. EMNLP (1) (2021)
Danielle Saunders, Rosie Sallis, Bill Byrne
First the worst: Finding better gender translations during beam search. CoRR (2021)
Weizhe Lin, Bo-Hsian Tseng, Bill Byrne
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. CoRR (2021)
Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Mihir Sanjay Kale
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems. ACL/IJCNLP (1) (2021)
Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. EMNLP (1) (2021)
Marcus Tomalin, Bill Byrne, Shauna Concannon, Danielle Saunders, Stefanie Ullmann
The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing. Ethics Inf. Technol. 23 (3) (2021)
Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne
Transferable Dialogue Systems and User Simulators. CoRR (2021)
Danielle Saunders, Felix Stahlberg, Bill Byrne
Using Context in Neural Machine Translation Training Objectives. CoRR (2020)
Danielle Saunders, Bill Byrne
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task. WMT@EMNLP (2020)
Danielle Saunders, Felix Stahlberg, Bill Byrne
Using Context in Neural Machine Translation Training Objectives. ACL (2020)
Danielle Saunders, Rosie Sallis, Bill Byrne
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It. CoRR (2020)
Danielle Saunders, Bill Byrne
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem. CoRR (2020)
Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Mihir Sanjay Kale
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems. CoRR (2020)
Danielle Saunders, Weston Feely, Bill Byrne
Inference-only sub-character decomposition improves translation of unseen logographic characters. CoRR (2020)
Andrew Caines, Helen Yannakoudakis, Helena Edmondson, Helen Allen, Pascual Pérez-Paredes, Bill Byrne, Paula Buttery
The Teacher-Student Chatroom Corpus. CoRR (2020)
Danielle Saunders, Weston Feely, Bill Byrne
Inference-only sub-character decomposition improves translation of unseen logographic characters. WAT@AAC/IJCNLPL (2020)
Danielle Saunders, Bill Byrne
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task. CoRR (2020)
Danielle Saunders, Bill Byrne
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem. ACL (2020)
Filip Radlinski, Krisztian Balog, Bill Byrne, Karthik Krishnamoorthi
Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences. SIGdial (2019)
Felix Stahlberg, Danielle Saunders, Adrià de Gispert, Bill Byrne
CUED@WMT19: EWC&LMs. WMT (2) (2019)
Danielle Saunders, Felix Stahlberg, Bill Byrne
UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles. WMT (3) (2019)
Felix Stahlberg, Christopher Bryant, Bill Byrne
Neural Grammatical Error Correction with Finite State Transducers. CoRR (2019)
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne
Domain Adaptive Inference for Neural Machine Translation. ACL (1) (2019)
Bo-Hsiang Tseng, Marek Rei, Pawel Budzianowski, Richard E. Turner, Bill Byrne, Anna Korhonen
Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling. EMNLP/IJCNLP (1) (2019)
Felix Stahlberg, Danielle Saunders, Adrià de Gispert, Bill Byrne
Cued@wmt19: ewc&lms. CoRR (2019)
Zheng Yuan, Felix Stahlberg, Marek Rei, Bill Byrne, Helen Yannakoudakis
Neural and FST-based approaches to grammatical error correction. BEA@ACL (2019)
Felix Stahlberg, Bill Byrne
The CUED's Grammatical Error Correction Systems for BEA-2019. CoRR (2019)
Felix Stahlberg, Bill Byrne
On NMT Search Errors and Model Errors: Cat Got Your Tongue? EMNLP/IJCNLP (1) (2019)
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. EMNLP/IJCNLP (1) (2019)
Felix Stahlberg, Bill Byrne
The CUED's Grammatical Error Correction Systems for BEA-2019. BEA@ACL (2019)
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne
Domain Adaptive Inference for Neural Machine Translation. CoRR (2019)
Felix Stahlberg, Bill Byrne
On NMT Search Errors and Model Errors: Cat Got Your Tongue? CoRR (2019)
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Daniel Duckworth, Semih Yavuz, Ben Goodrich, Amit Dubey, Andy Cedilnik, Kyu-Young Kim
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. CoRR (2019)
Felix Stahlberg, Christopher Bryant, Bill Byrne
Neural Grammatical Error Correction with Finite State Transducers. NAACL-HLT (1) (2019)
Danielle Saunders, Felix Stahlberg, Bill Byrne
UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles. CoRR (2019)
Bo-Hsiang Tseng, Marek Rei, Pawel Budzianowski, Richard E. Turner, Bill Byrne, Anna Korhonen
Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling. CoRR (2019)
Felix Stahlberg, Adrià de Gispert, Bill Byrne
The University of Cambridge's Machine Translation Systems for WMT18. CoRR (2018)
Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne
Neural Machine Translation Decoding with Terminology Constraints. CoRR (2018)
Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne
Neural Machine Translation Decoding with Terminology Constraints. NAACL-HLT (2) (2018)
Felix Stahlberg, Danielle Saunders, Bill Byrne
An Operation Sequence Model for Explainable Neural Machine Translation. BlackboxNLP@EMNLP (2018)
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne
Multi-representation ensembles and delayed SGD updates improve syntax-based NMT. ACL (2) (2018)
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT. CoRR (2018)
Felix Stahlberg, Danielle Saunders, Bill Byrne
An Operation Sequence Model for Explainable Neural Machine Translation. CoRR (2018)
Gonzalo Iglesias, William Tambellini, Adrià de Gispert, Eva Hasler, Bill Byrne
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment. CoRR (2018)
Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation. CoRR (2018)
Felix Stahlberg, Adrià de Gispert, Bill Byrne
The University of Cambridge's Machine Translation Systems for WMT18. WMT (shared task) (2018)
Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation. AMTA (1) (2018)
Gonzalo Iglesias, William Tambellini, Adrià de Gispert, Eva Hasler, Bill Byrne
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment. NAACL-HLT (3) (2018)
Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder
Break it Down for Me: A Study in Automated Lyric Annotation. CoRR (2017)
Felix Stahlberg, Adrià de Gispert, Eva Hasler, Bill Byrne
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices. EACL (2) (2017)
Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder
Break it Down for Me: A Study in Automated Lyric Annotation. EMNLP (2017)
Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies. EMNLP (System Demonstrations) (2017)
Eva Hasler, Adrià de Gispert, Felix Stahlberg, Aurelien Waite, Bill Byrne
Source sentence simplification for statistical machine translation. Comput. Speech Lang. 45 (2017)
Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne
A Comparison of Neural Models for Word Ordering. INLG (2017)
Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies. CoRR (2017)
Felix Stahlberg, Bill Byrne
Unfolding and Shrinking Neural Machine Translation Ensembles. CoRR (2017)
Felix Stahlberg, Bill Byrne
Unfolding and Shrinking Neural Machine Translation Ensembles. EMNLP (2017)
Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne
A Comparison of Neural Models for Word Ordering. CoRR (2017)

Bill Byrne.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Bill Byrne