Sanmi Koyejo
Stanford CS assistant professor; works on trustworthy ML and rigorous LLM evaluation; "Emergent Abilities are a Mirage" co-author.
- Role
- professor
- Currently at
- Stanford University
- twitter.com/sanmikoyejo
- GitHub
- github.com/sanmi-koyejo
- Scholar
- scholar.google.com/citations
- Papers
- 23
Cite
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Authored papers
23DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents
arXiv 2026
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
arXiv 2026
Latent Adversarial Regularization for Offline Preference Optimization
arXiv 2026
One-Minute Video Generation with Test-Time Training
CVPR 2025 1
End-to-End Test-Time Training for Long Context
arXiv 2025
AlphaApollo: Orchestrating Foundation Models and Professional Tools into a Self-Evolving System for Deep Agentic Reasoning
arXiv 2025
UQ: Assessing Language Models on Unsolved Questions
arXiv 2025
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs
arXiv 2025
Fantastic Bugs and Where to Find Them in AI Benchmarks
arXiv 2025
Reliable and Efficient Amortized Model-based Evaluation
arXiv 2025
Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
arXiv 2025
The Leaderboard Illusion
preprint
Structured Prompting Enables More Robust Evaluation of Language Models
arXiv 2025
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
arXiv 2025
Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4
arXiv 2024
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
arXiv 2024
Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models
arXiv 2024
Best-of-N Jailbreaking
arXiv 2024
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs
arXiv 2024
Representation Engineering: A Top-Down Approach to AI Transparency
arXiv 2023
Learning to (Learn at Test Time)
arXiv 2023
HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
arXiv 2023
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
arXiv 2023
Affiliations
Previously
Frequent co-authors
10from 23 papers