Bill Byrne
67 papers · 2014–2026 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (86) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏠
Conference Loyalist
(26)
🤝
Dynamic Duo
(23)
🏆
Keyword Champion
(3)
🧭
Keyword Pioneer
🔬
Deep Specialist
(27)
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Silver
❓
The Questioner
(2)
⚡
Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Silver
📈
Trend Setter
🗃️
Keyword Collector
(247)
Top co-authors
Research topics
Natural Language Processing
(51)
Applications
(44)
Machine Learning
(33)
Deep Learning
(26)
Artificial Intelligence
(20)
Core AI
(17)
Generation
(16)
Learning Types · Machine Learning
(16)
Learning Types · Deep Learning
(15)
Application Areas
(13)
Architectures
(8)
Core Methods
(7)
Learning Paradigms
(7)
Optimization & Theory · Machine Learning
(6)
Optimization & Theory · Deep Learning
(6)
Keywords
neural machine translation
(23)
machine translation
(6)
retrieval-augmented generation
(6)
large language model
(6)
dialogue system
(5)
elastic weight consolidation
(4)
domain adaptation
(4)
visual question answering
(4)
minimum bayes risk
(3)
ensemble learning
(3)
dialogue state tracking
(3)
document-level translation
(3)
multimodal retrieval
(3)
beam search
(3)
task-oriented dialogue
(3)
grammatical error correction
(3)
information retrieval
(3)
question answering
(3)
transfer learning
(3)
language model
(3)
Papers
Benchmarking Deflection and Hallucination in Large Vision-Language Models
ACL 2026
Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models
EACL 2026
Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models
ACL 2026
What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation
ACL 2026
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models
ACL 2025
RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation
EMNLP 2025
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection
EMNLP 2025
XRAG: Cross-lingual Retrieval-Augmented Generation
EMNLP 2025
A Preference-driven Paradigm for Enhanced Translation with Large Language Models
NAACL 2024
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata
NAACL 2024
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding
NAACL 2024
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning
ACL 2024
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers
ACL 2024
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision
EMNLP 2024
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities
ACL 2024
An Inner Table Retriever for Robust Table Question Answering
ACL 2023
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
NeurIPS 2023
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering
EACL 2023
LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering
ACL 2023
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking
EACL 2023
Neural Ranking with Weak Supervision for Open-Domain Question Answering : A Survey
EACL 2023
xPQA: Cross-Lingual Product Question Answering in 12 Languages
ACL 2023
First the Worst: Finding Better Gender Translations During Beam Search
ACL 2022
FocusQA: Open-Domain Question Answering with a Context in Focus
EMNLP 2022
From Rewriting to Remembering: Common Ground for Conversational QA Models
ACL 2022
Product Answer Generation from Heterogeneous Sources: A New Benchmark and Best Practices
ACL 2022
Retrieval Augmented Visual Question Answering with Outside Knowledge
EMNLP 2022
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation
NAACL 2022
uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation
ACL 2022
GCDF1: A Goal- and Context- Driven F-Score for Evaluating User Models
EMNLP 2021
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation
EMNLP 2021
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking
EMNLP 2021
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems
ACL 2021
Transferable Dialogue Systems and User Simulators
ACL 2021
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task
EMNLP 2020
Inference-only sub-character decomposition improves translation of unseen logographic characters
AACL 2020
Neural Machine Translation Doesn’t Translate Gender Coreference Right Unless You Make It
COLING 2020
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem
ACL 2020
The Teacher-Student Chatroom Corpus
COLING 2020
Using Context in Neural Machine Translation Training Objectives
ACL 2020
CUED@WMT19:EWC&LMs
ACL 2019
Domain Adaptive Inference for Neural Machine Translation
ACL 2019
Neural and FST-based approaches to grammatical error correction
ACL 2019
Neural Grammatical Error Correction with Finite State Transducers
NAACL 2019
On NMT Search Errors and Model Errors: Cat Got Your Tongue?
EMNLP 2019
Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling
EMNLP 2019
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
EMNLP 2019
The CUED’s Grammatical Error Correction Systems for BEA-2019
ACL 2019
UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles
ACL 2019
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment
NAACL 2018
An Operation Sequence Model for Explainable Neural Machine Translation
EMNLP 2018
Multi-representation ensembles and delayed SGD updates improve syntax-based NMT
ACL 2018
Neural Machine Translation Decoding with Terminology Constraints
NAACL 2018
The University of Cambridge’s Machine Translation Systems for WMT18
EMNLP 2018
Break it Down for Me: A Study in Automated Lyric Annotation
EMNLP 2017
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices
EACL 2017
SGNMT – A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies
EMNLP 2017
Unfolding and Shrinking Neural Machine Translation Ensembles
EMNLP 2017
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization
NAACL 2016
Syntactically Guided Neural Machine Translation
ACL 2016
Fast and Accurate Preordering for SMT using Neural Networks
NAACL 2015
The Geometry of Statistical Machine Translation
NAACL 2015
Transducer Disambiguation with Sparse Topological Features
EMNLP 2015
Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation
COLING 2014
Proceedings of the ACL 2014 Student Research Workshop
ACL 2014
Source-side Preordering for Translation using Logistic Regression and Depth-first Branch-and-Bound Search
EACL 2014
Word Ordering with Phrase-Based Grammars
EACL 2014