Tan Zhi Xuan
NUS Presidential Young Professor
Works on cooperative AI and AI alignment using Bayesian modelling, probabilistic programming and computational cognitive science.
Tan Zhi Xuan's lab at NUS works on probabilistic & causal inference, trustworthy & safe ML and interpretability, evaluation & safety of LMs. 14 papers since 2023, 1 at top venues, mostly TACL. 4 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 7%
- PhD students
- 4
- MS students
- 0
- alumni listed
- 0
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 1
- 6 papers2024 · T1 0
- 6 papers2023 · T1 0
T1 venuesOtherVenues: TACL
Research focuspaper titles that use each topic's words
- Probabilistic & causal inference9 papers
- Interpretability, evaluation & safety of LMs1 paper
- Trustworthy & safe ML0 papers
- computational cognitive0 papers
- probabilistic programming0 papers
Paper list
From the lab homepage.
20252 papers
- Topics in Cognitive ScienceResource-Rational Virtual Bargaining for Moral Judgment: Toward a Probabilistic Cognitive Model
- TACL (T1)Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind
20246 papers
- Philosophical Studies NovBeyond Preferences in AI Alignment
- Nature Human Behaviour NovBuilding Machines that Learn and Think with People
- Proceedings of the Annual Meeting of the Cognitive Science Society JulGrounding Language about Belief in a Bayesian Theory-of-Mind
- Proceedings of the Annual Meeting of the Cognitive Science Society JulInfinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals
- Proceedings of the International Conference on Autonomous Agents and Multiagent Systems MayLearning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games
- Proceedings of the International Conference on Autonomous Agents and Multiagent Systems MayPragmatic Instruction Following and Goal Assistance via Cooperative Language Guided Inverse Plan Search
20236 papers
- ICRA WorkshopBayesian Inverse Motion Planning for Online Goal Inference in Continuous Domains (opens in a new tab)
- Proceedings of the AAAI Fall Symposia JulInferring the goals of communicating agents from actions and instructions
- ICML WorkshopSequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
- Proceedings of The International Conference on Artificial Intelligence and Statistics AprSMCP3: Sequential Monte Carlo with Probabilistic Program Proposals
- ICML WorkshopThe Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs
- Proceedings of the Annual Meeting of the Cognitive Science Society JulWhen it is not out of line to get out of line: The role of universalization and outcome-based reasoning in rule-breaking judgments
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NUSFall 2027
School of Computing PhD in Computer Science
- Round
- Main
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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Data
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- Papers
- The lab homepage
- Members
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- Lab homepage
Tiers are venue classifications, not lab rankings.
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