Bill Byrne

135 papers A* 9A 3B 4Misc 1Journal 66Unranked 52
YearRankTypeTitle / Venue / Authors
2026 J jnl
According to Me: Long-Term Personalized Referential Memory QA.
CoRR
Jingbiao Mei, Jinghong Chen, Guangyu Yang, Xinyu Hou, Margaret Li, Bill Byrne
2026 J jnl
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding.
CoRR
Chenyang Ma, Guangyu Yang, Kai Lu, Shitong Xu, Bill Byrne, Niki Trigoni, Andrew Markham
2026 — conf
Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models.
EACL (Volume 2: Short Papers)
Francesco Maria Molfese, Momchil Hardalov, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert
2026 J jnl
Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models.
CoRR
Francesco Maria Molfese, Momchil Hardalov, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert
2025 J jnl
ExPO-HM: Learning to Explain-then-Detect for Hateful Meme Detection.
CoRR
Jingbiao Mei, Mingsheng Sun, Jinghong Chen, Pengda Qin, Yuhong Li, Da Chen, Bill Byrne
2025 J jnl
Improved Fine-Tuning of Large Multimodal Models for Hateful Meme Detection.
CoRR
Jingbiao Mei, Jinghong Chen, Guangyu Yang, Weizhe Lin, Bill Byrne
2025 — conf
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models.
ACL (1)
Adrián Bazaga, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert
2025 J jnl
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models.
CoRR
Adrián Bazaga, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert
2025 A* conf
RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation.
EMNLP
Andrei Catalin Coman, Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro, Bill Byrne, James Henderson, Adrià de Gispert
2025 J jnl
RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation.
CoRR
Andrei C. Coman, Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro, Bill Byrne, James Henderson, Adrià de Gispert
2025 J jnl
Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models.
CoRR
Guangyu Yang, Jinghong Chen, Jingbiao Mei, Weizhe Lin, Bill Byrne
2025 A* conf
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection.
EMNLP
Jingbiao Mei, Jinghong Chen, Guangyu Yang, Weizhe Lin, Bill Byrne
2025 — conf
XRAG: Cross-lingual Retrieval-Augmented Generation.
EMNLP (Findings)
Wei Liu, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber
2025 J jnl
XRAG: Cross-lingual Retrieval-Augmented Generation.
CoRR
Wei Liu, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber
2024 — conf
A Preference-driven Paradigm for Enhanced Translation with Large Language Models.
NAACL-HLT
Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler
2024 J jnl
A Preference-driven Paradigm for Enhanced Translation with Large Language Models.
CoRR
Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler
2024 — conf
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata.
NAACL (Short Papers)
Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne
2024 J jnl
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata.
CoRR
Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne
2024 — conf
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding.
NAACL (Short Papers)
Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne
2024 J jnl
Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches.
CoRR
Igor Sterner, Weizhe Lin, Jinghong Chen, Bill Byrne
2024 — conf
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning.
ACL (1)
Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin
2024 J jnl
On Extending Direct Preference Optimization to Accommodate Ties.
CoRR
Jinghong Chen, Guangyu Yang, Weizhe Lin, Jingbiao Mei, Bill Byrne
2024 J jnl
PERL: Parameter Efficient Reinforcement Learning from Human Feedback.
CoRR
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
2024 — conf
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers.
ACL (1)
Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne
2024 J jnl
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers.
CoRR
Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne
2024 — conf
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision.
EMNLP (Findings)
Philipp Christmann, Svitlana Vakulenko, Ionut Sorodoc, Bill Byrne, Adrià de Gispert
2024 J jnl
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision.
CoRR
Philipp Christmann, Svitlana Vakulenko, Ionut-Teodor Sorodoc, Bill Byrne, Adrià de Gispert
2024 — conf
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities.
ACL (1)
David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran
2024 J jnl
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities.
CoRR
David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke M. Tran
2023 — conf
An Inner Table Retriever for Robust Table Question Answering.
ACL (1)
Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias
2023 J jnl
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding.
CoRR
Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne
2023 — conf
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering.
EACL (Findings)
Weizhe Lin, Zhilin Wang, Bill Byrne
2023 J jnl
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering.
CoRR
Weizhe Lin, Zhilin Wang, Bill Byrne
2023 A* conf
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering.
NeurIPS
Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne
2023 J jnl
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering.
CoRR
Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne
2023 B conf
Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns.
SIGDIAL
Alexandru Coca, Bo-Hsiang Tseng, Jinghong Chen, Weizhe Lin, Weixuan Zhang, Tisha Anders, Bill Byrne
2023 J jnl
Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns.
CoRR
Alexandru Coca, Bo-Hsiang Tseng, Jinghong Chen, Weizhe Lin, Weixuan Zhang, Tisha Anders, Bill Byrne
2023 J jnl
Improving hateful memes detection via learning hatefulness-aware embedding space through retrieval-guided contrastive learning.
CoRR
Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin
2023 — conf
LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering.
ACL (2)
Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias
2023 — conf
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking.
EACL (Findings)
Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne
2023 J jnl
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking.
CoRR
Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne
2023 — conf
Neural Ranking with Weak Supervision for Open-Domain Question Answering : A Survey.
EACL (Findings)
Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, Adrià de Gispert
2023 J jnl
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques.
CoRR
Junxiao Shen, John J. Dudley, Jingyao Zheng, Bill Byrne, Per Ola Kristensson
2023 J jnl
Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation.
CoRR
Jinghong Chen, Weizhe Lin, Bill Byrne
2023 A conf
Uniform Training and Marginal Decoding for Multi-Reference Question-Answer Generation.
ECAI
Svitlana Vakulenko, Bill Byrne, Adrià de Gispert
2023 J jnl
xPQA: Cross-Lingual Product Question Answering across 12 Languages.
CoRR
Xiaoyu Shen, Akari Asai, Bill Byrne, Adrià de Gispert
2023 — conf
xPQA: Cross-Lingual Product Question Answering in 12 Languages.
ACL (industry)
Xiaoyu Shen, Akari Asai, Bill Byrne, Adrià de Gispert
2022 — conf
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets.
KaRS@RecSys
Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang
2022 — conf
First the Worst: Finding Better Gender Translations During Beam Search.
ACL (Findings)
Danielle Saunders, Rosie Sallis, Bill Byrne
2022 — conf
FocusQA: Open-Domain Question Answering with a Context in Focus.
EMNLP (Findings)
Gianni Barlacchi, Ivano Lauriola, Alessandro Moschitti, Marco Del Tredici, Xiaoyu Shen, Thuy Vu, Bill Byrne, Adrià de Gispert
2022 — conf
From Rewriting to Remembering: Common Ground for Conversational QA Models.
ConvAI@ACL
Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi, Bill Byrne, Adrià de Gispert
2022 J jnl
From Rewriting to Remembering: Common Ground for Conversational QA Models.
CoRR
Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi, Bill Byrne, Adrià de Gispert
2022 J jnl
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey.
CoRR
Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, Adrià de Gispert
2022 A* conf
Retrieval Augmented Visual Question Answering with Outside Knowledge.
EMNLP
Weizhe Lin, Bill Byrne
2022 J jnl
Retrieval Augmented Visual Question Answering with Outside Knowledge.
CoRR
Weizhe Lin, Bill Byrne
2022 — conf
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation.
NAACL-HLT
Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber
2022 J jnl
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation.
CoRR
Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber
2022 — conf
Transformer-Empowered Content-Aware Collaborative Filtering.
KaRS@RecSys
Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang
2022 J jnl
Transformer-Empowered Content-Aware Collaborative Filtering.
CoRR
Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang
2022 — conf
uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation.
ACL (Findings)
Tisha Anders, Alexandru Coca, Bill Byrne
2021 J jnl
First the worst: Finding better gender translations during beam search.
CoRR
Danielle Saunders, Rosie Sallis, Bill Byrne
2021 — conf
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation.
EMNLP (1)
Eva Hasler, Tobias Domhan, Jonay Trénous, Ke Tran, Bill Byrne, Felix Hieber
2021 — conf
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking.
EMNLP (1)
Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne
2021 J jnl
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking.
CoRR
Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne
2021 J jnl
The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing.
Ethics Inf. Technol.
Marcus Tomalin, Bill Byrne, Shauna Concannon, Danielle Saunders, Stefanie Ullmann
2021 — conf
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems.
ACL/IJCNLP (1)
Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Mihir Sanjay Kale
2021 — conf
Transferable Dialogue Systems and User Simulators.
ACL/IJCNLP (1)
Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne
2021 J jnl
Transferable Dialogue Systems and User Simulators.
CoRR
Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne
2020 — conf
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task.
WMT@EMNLP
Danielle Saunders, Bill Byrne
2020 J jnl
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task.
CoRR
Danielle Saunders, Bill Byrne
2020 — conf
Inference-only sub-character decomposition improves translation of unseen logographic characters.
WAT@AAC/IJCNLPL
Danielle Saunders, Weston Feely, Bill Byrne
2020 J jnl
Inference-only sub-character decomposition improves translation of unseen logographic characters.
CoRR
Danielle Saunders, Weston Feely, Bill Byrne
2020 J jnl
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It.
CoRR
Danielle Saunders, Rosie Sallis, Bill Byrne
2020 A* conf
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem.
ACL
Danielle Saunders, Bill Byrne
2020 J jnl
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem.
CoRR
Danielle Saunders, Bill Byrne
2020 J jnl
The Teacher-Student Chatroom Corpus.
CoRR
Andrew Caines, Helen Yannakoudakis, Helena Edmondson, Helen Allen, Pascual Pérez-Paredes, Bill Byrne, Paula Buttery
2020 J jnl
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems.
CoRR
Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Mihir Sanjay Kale
2020 A* conf
Using Context in Neural Machine Translation Training Objectives.
ACL
Danielle Saunders, Felix Stahlberg, Bill Byrne
2020 J jnl
Using Context in Neural Machine Translation Training Objectives.
CoRR
Danielle Saunders, Felix Stahlberg, Bill Byrne
2019 — conf
CUED@WMT19: EWC&LMs.
WMT (2)
Felix Stahlberg, Danielle Saunders, Adrià de Gispert, Bill Byrne
2019 B conf
Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences.
SIGdial
Filip Radlinski, Krisztian Balog, Bill Byrne, Karthik Krishnamoorthi
2019 J jnl
Cued@wmt19: ewc&lms.
CoRR
Felix Stahlberg, Danielle Saunders, Adrià de Gispert, Bill Byrne
2019 — conf
Domain Adaptive Inference for Neural Machine Translation.
ACL (1)
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne
2019 J jnl
Domain Adaptive Inference for Neural Machine Translation.
CoRR
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne
2019 — conf
Neural Grammatical Error Correction with Finite State Transducers.
NAACL-HLT (1)
Felix Stahlberg, Christopher Bryant, Bill Byrne
2019 J jnl
Neural Grammatical Error Correction with Finite State Transducers.
CoRR
Felix Stahlberg, Christopher Bryant, Bill Byrne
2019 — conf
Neural and FST-based approaches to grammatical error correction.
BEA@ACL
Zheng Yuan, Felix Stahlberg, Marek Rei, Bill Byrne, Helen Yannakoudakis
2019 — conf
On NMT Search Errors and Model Errors: Cat Got Your Tongue?
EMNLP/IJCNLP (1)
Felix Stahlberg, Bill Byrne
2019 J jnl
On NMT Search Errors and Model Errors: Cat Got Your Tongue?
CoRR
Felix Stahlberg, Bill Byrne
2019 — conf
Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling.
EMNLP/IJCNLP (1)
Bo-Hsiang Tseng, Marek Rei, Pawel Budzianowski, Richard E. Turner, Bill Byrne, Anna Korhonen
2019 J jnl
Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling.
CoRR
Bo-Hsiang Tseng, Marek Rei, Pawel Budzianowski, Richard E. Turner, Bill Byrne, Anna Korhonen
2019 — conf
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset.
EMNLP/IJCNLP (1)
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik
2019 J jnl
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset.
CoRR
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Daniel Duckworth, Semih Yavuz, Ben Goodrich, Amit Dubey, Andy Cedilnik, Kyu-Young Kim
2019 — conf
The CUED's Grammatical Error Correction Systems for BEA-2019.
BEA@ACL
Felix Stahlberg, Bill Byrne
2019 J jnl
The CUED's Grammatical Error Correction Systems for BEA-2019.
CoRR
Felix Stahlberg, Bill Byrne
2019 — conf
UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles.
WMT (3)
Danielle Saunders, Felix Stahlberg, Bill Byrne
2019 J jnl
UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles.
CoRR
Danielle Saunders, Felix Stahlberg, Bill Byrne
2018 — conf
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment.
NAACL-HLT (3)
Gonzalo Iglesias, William Tambellini, Adrià de Gispert, Eva Hasler, Bill Byrne
2018 J jnl
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment.
CoRR
Gonzalo Iglesias, William Tambellini, Adrià de Gispert, Eva Hasler, Bill Byrne
2018 — conf
An Operation Sequence Model for Explainable Neural Machine Translation.
BlackboxNLP@EMNLP
Felix Stahlberg, Danielle Saunders, Bill Byrne
2018 J jnl
An Operation Sequence Model for Explainable Neural Machine Translation.
CoRR
Felix Stahlberg, Danielle Saunders, Bill Byrne
2018 J jnl
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT.
CoRR
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne
2018 — conf
Multi-representation ensembles and delayed SGD updates improve syntax-based NMT.
ACL (2)
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne
2018 — conf
Neural Machine Translation Decoding with Terminology Constraints.
NAACL-HLT (2)
Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne
2018 J jnl
Neural Machine Translation Decoding with Terminology Constraints.
CoRR
Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne
2018 — conf
The University of Cambridge's Machine Translation Systems for WMT18.
WMT (shared task)
Felix Stahlberg, Adrià de Gispert, Bill Byrne
2018 J jnl
The University of Cambridge's Machine Translation Systems for WMT18.
CoRR
Felix Stahlberg, Adrià de Gispert, Bill Byrne
2018 — conf
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation.
AMTA (1)
Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne
2018 J jnl
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation.
CoRR
Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne
2017 B conf
A Comparison of Neural Models for Word Ordering.
INLG
Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne
2017 J jnl
A Comparison of Neural Models for Word Ordering.
CoRR
Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne
2017 A* conf
Break it Down for Me: A Study in Automated Lyric Annotation.
EMNLP
Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder
2017 J jnl
Break it Down for Me: A Study in Automated Lyric Annotation.
CoRR
Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder
2017 — conf
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices.
EACL (2)
Felix Stahlberg, Adrià de Gispert, Eva Hasler, Bill Byrne
2017 — conf
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies.
EMNLP (System Demonstrations)
Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne
2017 J jnl
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies.
CoRR
Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne
2017 J jnl
Source sentence simplification for statistical machine translation.
Comput. Speech Lang.
Eva Hasler, Adrià de Gispert, Felix Stahlberg, Aurelien Waite, Bill Byrne
2017 A* conf
Unfolding and Shrinking Neural Machine Translation Ensembles.
EMNLP
Felix Stahlberg, Bill Byrne
2017 J jnl
Unfolding and Shrinking Neural Machine Translation Ensembles.
CoRR
Felix Stahlberg, Bill Byrne
2016 J jnl
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices.
CoRR
Felix Stahlberg, Adrià de Gispert, Eva Hasler, Bill Byrne
2016 — conf
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization.
HLT-NAACL
Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne
2016 J jnl
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization.
CoRR
Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne
2016 — conf
Syntactically Guided Neural Machine Translation.
ACL (2)
Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne
2016 J jnl
Syntactically Guided Neural Machine Translation.
CoRR
Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne
2016 — conf
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16.
WMT
Felix Stahlberg, Eva Hasler, Bill Byrne
2016 J jnl
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16.
CoRR
Felix Stahlberg, Eva Hasler, Bill Byrne
2015 — conf
Fast and Accurate Preordering for SMT using Neural Networks.
HLT-NAACL
Adrià de Gispert, Gonzalo Iglesias, Bill Byrne
2015 — conf
Hierarchical Statistical Semantic Realization for Minimal Recursion Semantics.
IWCS
Matic Horvat, Ann A. Copestake, Bill Byrne
2015 — conf
The Geometry of Statistical Machine Translation.
HLT-NAACL
Aurelien Waite, Bill Byrne
2015 A* conf
Transducer Disambiguation with Sparse Topological Features.
EMNLP
Gonzalo Iglesias, Adrià de Gispert, Bill Byrne
2014 B conf
Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation.
COLING
Tong Xiao, Adrià de Gispert, Jingbo Zhu, Bill Byrne
2014 J jnl
Pushdown Automata in Statistical Machine Translation.
Comput. Linguistics
Cyril Allauzen, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias, Michael Riley
2014 A conf
Source-side Preordering for Translation using Logistic Regression and Depth-first Branch-and-Bound Search.
EACL
Laura Jehl, Adrià de Gispert, Mark Hopkins, Bill Byrne
2014 A conf
Word Ordering with Phrase-Based Grammars.
EACL
Adrià de Gispert, Marcus Tomalin, Bill Byrne
2002 Misc conf
Structurally discriminative graphical models for automatic speech recognition - results from the 2001 Johns Hopkins Summer Workshop.
ICASSP
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