GBUniversity of CambridgeTheoretical and Applied Linguistics (Faculty of Modern and Medieval Languages and Linguistics)
Nigel Collier
Professor of Natural Language Processing
Studies how to understand, align and evaluate large language models, particularly when they act within autonomous and agentic systems.
Nigel Collier's lab at Cambridge works on large language models, multilingual, translation & linguistics and learning theory & optimization. 43 papers since 2023, 25 at top venues, mostly ACL and EMNLP. 9 PhD students. 12 alumni, most often to Huawei and Cohere. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 58%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 12
Papers by yearfrom DBLP, 2023–2026
- 8 papers2026 · T1 5 · collecting
- 14 papers2025 · T1 10
- 11 papers2024 · T1 6
- 10 papers2023 · T1 4
T1 venuesOtherVenues: ACL, EMNLP, Findings of ACL, Findings of EMNLP, AAAI
Research focuspaper titles that use each topic's words
- Large language models21 papers
- Learning theory & optimization3 papers
- Multilingual, translation & linguistics2 papers
- linguistics0 papers
- agentic systems0 papers
Paper list
From DBLP.
20268 papers
- Findings of ACLConfidence Estimation for LLMs in Multi-turn Interactions (opens in a new tab)
- Findings of ACLDemystifying Multi-Agent Debate: The Role of Confidence and Diversity (opens in a new tab)
- ACL (T1)Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition Bottleneck (opens in a new tab)
- ACL (T1)LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation (opens in a new tab)
- Findings of ACLNavigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging (opens in a new tab)
- ACL (T1)Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning (opens in a new tab)
- ICLR (T1)SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors (opens in a new tab)
- ACL (T1)Value of Information: A Framework for Human-Agent Communication (opens in a new tab)
202514 papers
- ACL (T1)500xCompressor: Generalized Prompt Compression for Large Language Models (opens in a new tab)
- ICML (T1)Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models (opens in a new tab)
- EMNLP (T1)All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning (opens in a new tab)
- Findings of IJCNLP-AACLAtomic Calibration of LLMs in Long-Form Generations (opens in a new tab)
- ACL (T1)Conformity in Large Language Models (opens in a new tab)
- Nat. Comput. Sci.Generative language models exhibit social identity biases (opens in a new tab)
- ACL (T1)iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News (opens in a new tab)
- ACL (T1)LoGU: Long-form Generation with Uncertainty Expressions (opens in a new tab)
- NAACL (T1)Prompt Compression for Large Language Models: A Survey (opens in a new tab)
- NeurIPS (T1)PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning (opens in a new tab)
- ACL (T1)ReasonGraph: Visualization of Reasoning Methods and Extended Inference Paths (opens in a new tab)
- Findings of EMNLPTime to Revisit Exact Match (opens in a new tab)
202411 papers
- ACL WorkshopAn Individualized News Affective Response Dataset (opens in a new tab)
- AAAI (T1)BAND: Biomedical Alert News Dataset (opens in a new tab)
- Findings of EMNLPCan LLM be a Personalized Judge? (opens in a new tab)
- Findings of EMNLPCan We Instruct LLMs to Compensate for Position Bias? (opens in a new tab)
- EMNLP (T1)Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (opens in a new tab)
- EMNLP (T1)LUQ: Long-text Uncertainty Quantification for LLMs (opens in a new tab)
- Findings of ACLPiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs (opens in a new tab)
- ACL (T1)Quantifying the Persona Effect in LLM Simulations (opens in a new tab)
- Findings of ACLTOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles (opens in a new tab)
- EMNLP (T1)TopViewRS: Vision-Language Models as Top-View Spatial Reasoners (opens in a new tab)
- NAACL (T1)Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence (opens in a new tab)
202310 papers
- EMNLP (T1)Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization (opens in a new tab)
- Trans. Mach. Learn. Res.Contrastive Search Is What You Need For Neural Text Generation (opens in a new tab)
- Findings of ACLDePlot: One-shot visual language reasoning by plot-to-table translation (opens in a new tab)
- ACL (T1)MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering (opens in a new tab)
- CogSciOn Reality and the Limits of Language Data: Aligning LLMs with Human Norms (opens in a new tab)
- AAAI (T1)On the Effectiveness of Parameter-Efficient Fine-Tuning (opens in a new tab)
- Findings of EMNLPPOSQA: Probe the World Models of LLMs with Size Comparisons (opens in a new tab)
- EACLProbing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders (opens in a new tab)
- NeurIPS (T1)Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective (opens in a new tab)
- Trans. Assoc. Comput. LinguisticsVisual Spatial Reasoning (opens in a new tab)
Where alumni went12 listed, 100% to industry
Industry 6Academia 0
Most often to
- Huawei
- Cohere
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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