Sobhan Lotfi

Sobhan Lotfi

Machine Learning · AI Safety · Evaluation · Reinforcement Learning

Final-year B.Sc. in Computer Engineering, Sharif University of Technology

Hello! I’m Sobhan👋

I'm a final-year student at Sharif University of Technology, which I entered ranked 10th of 150,000+ in Iran's national university entrance exam. I'm broadly interested in machine learning and AI safety: how we can tell what models actually do, and whether that serves society.

I'm applying to PhD programs for Fall 2027. Feel free to reach out.

Publications

NeurIPS 2026★ Oraltop 0.4%

HearSayBench: Can LLMs Navigate from Abstract Human Rights to Lived Lives?

Sobhan Lotfi*, Ava Iranmanesh*, Ali Iranmanesh*, Liwei Jiang

A benchmark probing whether models recognize the unstated structural constraints that make standard advice impossible for people in adversarial conditions. Across 11 frontier and open-weight models we find a systemic 37% drop between understanding a situation and giving advice that respects it. Oral at the Pluralistic Alignment Workshop, ICML 2026.

ICML 2026★ Oraltop 0.7%

Position: There are futures that benchmark-driven AI cannot see

Sobhan Lotfi, Ava Iranmanesh, Lachin Naghashyar, Ali Shirali, Fateme Nateghi Haredasht, Sanmi Koyejo, Philip Torr, Yong Suk Lee, Fazl Barez, Joel Lehman, Peter Norvig, Arvind Narayanan

Benchmarks decide which problems count as progress, and in doing so they quietly fix the set of futures a research culture can even aim at. We argue that the resulting blind spots are structural rather than incidental, and that they will not be fixed by adding more benchmarks.

IJHCS 2026

Design Patterns of Human-AI Interfaces in Healthcare

Rui Sheng, Chuhan Shi, Sobhan Lotfi, Shiyi Liu, Adam Perer, Huamin Qu, Furui Cheng

A review of clinical human-AI interfaces yielding 15 recurring information entities and 12 design patterns, each grounded in interviews with 12 healthcare professionals and evaluated with 14 UI designers.

Preprint

Dynamic Implicit Neural Representations for Image Compression

Sobhan Lotfi, Peyman Paknezhad, Pooya Ashtari, Fateme Nateghi Haredasht, Yixing Jiang, Aleksandra Pizurica

Implicit neural representations with input-dependent dynamics for image compression.

Experience

Summer 2026

Technical AI Governance Research Fellow

ERA:AI Fellowship, Emmanuel College, University of Cambridge

Supervised by Fazl Barez (Oxford). Whether a language model returns to its own answer after its previous turn is forged, across factual questions, preferences and solution paths.

Summer 2024

Research Intern

Hong Kong University of Science and Technology

With Huamin Qu (HKUST) and Adam Perer (CMU). Synthesized design patterns from clinical human-AI interaction systems and validated them with practitioners and designers.

Awards

Service