Pontus Stenetorp
Professor in Natural Language Processing
Researches empirical natural language processing, including machine reading and representation learning for language.
Pontus Stenetorp's lab at UCL works on generative & foundation models. 24 papers since 2023, 16 at top venues, mostly ACL and NAACL.
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 67%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 11 papers2025 · T1 7
- 7 papers2024 · T1 4
- 3 papers2023 · T1 2
T1 venuesOtherVenues: ACL, NAACL, EMNLP, NeurIPS, Findings of ACL
Research focuspaper titles that use each topic's words
- language10 papers
- Generative & foundation models6 papers
- representation learning0 papers
- representation0 papers
- language processing0 papers
Paper list
From DBLP.
20263 papers
- ICLR (T1)Decomposing LLM Computation with Jets (opens in a new tab)
- ACL (T1)Language Models Learn Universal Representations of Numbers and Here's Why You Should Care (opens in a new tab)
- ACL (T1)The Role of Mixed-Language Documents for Multilingual Large Language Model Pretraining (opens in a new tab)
202511 papers
- Findings of ACLAfroBench: How Good are Large Language Models on African Languages? (opens in a new tab)
- NeurIPS (T1)AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench (opens in a new tab)
- WMTEvaluating WMT 2025 Metrics Shared Task Submissions on the SSA-MTE African Challenge Set (opens in a new tab)
- NAACL (T1)IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models (opens in a new tab)
- NeurIPS (T1)Linguini: A benchmark for language-agnostic linguistic reasoning (opens in a new tab)
- NAACL (T1)Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models (opens in a new tab)
- EMNLP (T1)Multilingual Language Model Pretraining using Machine-translated Data (opens in a new tab)
- EMNLP (T1)SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages? (opens in a new tab)
- WMTTranslate, Then Detect: Leveraging Machine Translation for Cross-Lingual Toxicity Classification (opens in a new tab)
- Findings of ACLTUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning (opens in a new tab)
- ACL (T1)Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation (opens in a new tab)
20247 papers
- NAACL (T1)AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages (opens in a new tab)
- WMTEvaluating WMT 2024 Metrics Shared Task Submissions on AfriMTE (the African Challenge Set) (opens in a new tab)
- Findings of EMNLPMachine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models (opens in a new tab)
- Findings of EMNLPQuantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles (opens in a new tab)
- NAACL (T1)Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation (opens in a new tab)
- ACL (T1)Using Natural Language Explanations to Improve Robustness of In-context Learning (opens in a new tab)
- EMNLP (T1)Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The alumni list could not be found on the lab site.
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- Alumni
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