Oana-Maria Camburu
Assistant Professor in Machine Learning
Works on AI alignment and safety, measuring and improving the faithfulness of chain-of-thought explanations in language models, including for medical applications.
Oana-Maria Camburu's lab at Imperial works on interpretability, evaluation & safety of LMs, large language models and trustworthy & safe ML. 11 papers since 2023, 10 at top venues, mostly ACL and EMNLP. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 91%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 1
- 6 papers2024 · T1 6
- 4 papers2023 · T1 3
T1 venuesOtherVenues: ACL, EMNLP, AAAI, Artificial Intelligence, EACL
Research focuspaper titles that use each topic's words
- Large language models7 papers
- explanations6 papers
- Interpretability, evaluation & safety of LMs1 paper
- Trustworthy & safe ML1 paper
- medical applications0 papers
Paper list
From DBLP.
20251 paper
20246 papers
- EMNLP (T1)Atomic Inference for NLI with Generated Facts as Atoms (opens in a new tab)
- EMNLP (T1)Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting (opens in a new tab)
- NAACL (T1)Identifying Linear Relational Concepts in Large Language Models (opens in a new tab)
- ACL (T1)SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations (opens in a new tab)
- ACL (T1)The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models (opens in a new tab)
- ACL (T1)Using Natural Language Explanations to Improve Robustness of In-context Learning (opens in a new tab)
20234 papers
- EACLCounter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns (opens in a new tab)
- ACL (T1)Faithfulness Tests for Natural Language Explanations (opens in a new tab)
- ACL (T1)KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations (opens in a new tab)
- Artificial Intelligence (T1)Rationalizing predictions by adversarial information calibration (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Confirmed on the program page.
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39 T1
Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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