Andreas Vlachos
Professor of Natural Language Processing and Machine Learning
Works on automated fact checking, dialogue modelling and imitation learning for NLP, and earlier on semantic parsing and information extraction.
Andreas Vlachos's lab at Cambridge works on multilingual, translation & linguistics, knowledge, QA & retrieval and manipulation & robot learning. 51 papers since 2023, 23 at top venues, mostly EMNLP and ACL. 9 PhD students. 56 alumni. Applications close .
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 45%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 56
Papers by yearfrom the lab homepage, 2023–2026
- 11 papers2026 · T1 4 · collecting
- 16 papers2025 · T1 8
- 16 papers2024 · T1 7
- 8 papers2023 · T1 4
T1 venuesOtherVenues: EMNLP, ACL, TACL, EACL
Research focuspaper titles that use each topic's words
- checking10 papers
- Manipulation & robot learning4 papers
- Multilingual, translation & linguistics3 papers
- Knowledge, QA & retrieval3 papers
- earlier0 papers
Paper list
From the lab homepage.
202611 papers
- International AAAI Conference on Web and Social MediaCollaborative Evaluation of Deepfake Text with Deliberation-Enhancing Dialogue Systems
- Findings of the Annual Meeting of the Association for Computational LinguisticsDemystifying Multi-Agent Debate: The Role of Confidence and Diversity
- Forecasting as a New Frontier of Intelligence@ICML2026Do Language Models Update their Forecasts with New Information?
- TACL (T1)Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking
- Findings of the Conference on Empirical Methods in Natural Language ProcessingEvaluating the Semantic Specificity of Representation Steering in Language Models
- EMNLP (T1)Jury Duty: Calibration and Orientation Failures in MLLM-as-a-Judge Under Cultural Ambiguity
- Proceedings of the Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media AnalysisMultimodal Claim Extraction for Fact-Checking
- ACL (T1)Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation
- FEVERThe Automatic Verification of Image-Text Claims (AVerImaTeC) Shared Task
- EMNLP (T1)TimelineAgent: An LLM-based Framework for Query-Centric Event Timeline Extraction Across Multiple Documents
- Findings of the Conference of the European Chapter of the Association for Computational LinguisticsUncertainty Quantification for Evaluating Machine Translation Bias
202516 papers
- Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language TechnologiesA Bayesian Optimization Approach to Machine Translation Reranking
- Proceedings of the Conference on Neural Information Processing Systems Datasets and Benchmarks TrackAVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web
- ACL (T1)Conformity in Large Language Models
- Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language TechnologiesDis2Dis: Explaining Ambiguity in Fact-Checking
- Proceedings of the Conference on Neural Information Processing Systems Datasets and Benchmarks TrackFOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark
- EMNLP (T1)Improving Zero-shot Sentence Decontextualisation with Content Selection and Planning
- ACL (T1)Mitigating Shortcut Learning with InterpoLated Learning
- Findings of the Conference on Empirical Methods in Natural Language ProcessingMTPA: MultiTask Personalization Assessment
- Proceedings of the Conference on Empirical Methods in Natural Language Processing System DemonstrationsPledgeTracker: A System for Monitoring the Fulfilment of Pledges
- ACL (T1)Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models
- EMNLP (T1)Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefacts
- EMNLP (T1)TCP: a Benchmark for Temporal Constraint-based Planning
202416 papers
- EMNLP (T1)ALVIN: Active Learning Via INterpolation
- TACL (T1)AmbiFC: Fact-Checking Ambiguous Claims with Evidence
- EMNLP (T1)An LLM Feature-based Framework for Dialogue Constructiveness Assessment
- Proceedings of the the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language TechnologiesAnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
- Findings of The Annual Meeting of the Association for Computational LinguisticsAutomated Focused Feedback Generation for Scientific Writing Assistance
- ACL (T1)Causal Estimation of Memorisation Profiles
- Communications of the ACMDisinformation 2.0 in the Age of AI: A Cybersecurity Perspective
- EMNLP (T1)Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
- ACL (T1)Document-level Claim Extraction and Decontextualisation for Fact-Checking
- EACLMeasuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy
- Proceedings of the Conference on Language ModelingPRobELM: Plausibility Ranking Evaluation for Language Models
- TACL (T1)TabVer: Tabular Fact Verification with Natural Logic
20238 papers
- EMNLP (T1)Automated Fact-Checking in Dialogue: Are Specialized Models Needed?
- Proceedings of the Conference on Neural Information Processing Systems Datasets and Benchmarks TrackAVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
- Proceedings of The ACM Conference On Computer-Supported Cooperative Work And Social ComputingDeliData: A dataset for deliberation in multi-party problem solving
- EMNLP (T1)Faster Minimum Bayes Risk Decoding with Confidence-based Pruning
- ACL (T1)Improving the robustness of NLI models with minimax training
- Findings of the Conference on Empirical Methods in Natural Language ProcessingMultimodal Automated Fact-Checking: A Survey
- EMNLP (T1)QA-NatVer: Question Answering for Natural Logic-based Fact Verification
- Findings of the Conference on Empirical Methods in Natural Language ProcessingThe Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who
Where alumni went56 listed
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
- GRE
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- English
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- Fee
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Confirmed on the program page.
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