Michael Shieh
Assistant Professor
Works on large language models and deep learning, building on earlier semi-supervised learning work (Noisy Student, UDA).
Michael Shieh's lab at NUS works on large language models. 21 papers since 2023, 17 at top venues, mostly ICLR and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 81%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 7 papers2026 · T1 4 · collecting
- 9 papers2025 · T1 9
- 5 papers2024 · T1 4
- 0 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, NeurIPS, EMNLP, Findings of ACL, ICML
Research focuspaper titles that use each topic's words
- Large language models11 papers
- semi-supervised0 papers
- semi-supervised learning0 papers
- noisy0 papers
- earlier0 papers
Paper list
From DBLP.
20267 papers
- Findings of ACLComicVQA: A Benchmark for Visual Reasoning in Multimodal LLMs (opens in a new tab)
- ICLR (T1)GEM: A Gym for Generalist LLMs (opens in a new tab)
- ICLR (T1)LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards (opens in a new tab)
- ICLR (T1)MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use (opens in a new tab)
- Trans. Mach. Learn. Res.MM-Eureka: Toward Stable Multimodal Reasoning via Rule-based Reinforcement Learning with Policy Drift Control (opens in a new tab)
- Findings of ACLSynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis (opens in a new tab)
- ICLR (T1)ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning (opens in a new tab)
20259 papers
- NAACL (T1)CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases (opens in a new tab)
- ICLR (T1)LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization (opens in a new tab)
- ICLR (T1)MixEval-X: Any-to-any Evaluations from Real-world Data Mixture (opens in a new tab)
- NeurIPS (T1)NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation (opens in a new tab)
- ICML (T1)RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding (opens in a new tab)
- AAAI (T1)Single Character Perturbations Break LLM Alignment (opens in a new tab)
- NeurIPS (T1)The Emergence of Abstract Thought in Large Language Models Beyond Any Language (opens in a new tab)
- ICLR (T1)Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron (opens in a new tab)
- ICML (T1)Unnatural Languages Are Not Bugs but Features for LLMs (opens in a new tab)
20245 papers
- NeurIPS (T1)Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling (opens in a new tab)
- EMNLP (T1)Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models (opens in a new tab)
- ACL WorkshopInstructCoder: Instruction Tuning Large Language Models for Code Editing (opens in a new tab)
- ACL (T1)Prompt Optimization via Adversarial In-Context Learning (opens in a new tab)
- EMNLP (T1)Reasoning Robustness of LLMs to Adversarial Typographical Errors (opens in a new tab)
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
- —
- 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 member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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