collaborators

5 papers

cs.AI2026

How Good Are Frontier Models at Physics? Expert Re-Grading Reveals Broken Evaluations and Near-Saturation of Leading Benchmarks

Ali Ansari, Haoran Sun, Andy Zeyi Liu +48

Low reported scores on leading physics benchmarks, including those featured in the Artificial Analysis Intelligence Index (2026), suggest that frontier language models still strugg…

cs.AI2026

ERUnderstand: Evaluating Vision-Language Models on Structured ER Diagrams

Ali Ansari, Yasmin Mohammadi, Farnoush Nili +3

Entity-Relationship Diagrams (ERDs) are central to conceptual database design, yet they are typically available only as rendered images rather than machine-readable schemas, limiti…

econ.GN2026

No Last Mile: A Theory of the Human Data Market

Ali Ansari, Mark Esposito, Ava Fitoussy +1

The standard framing treats structured human-data work as transitional, a bridge between today's imperfect models and a future state where automation is complete. We challenge this…

eess.AS2025

Evaluating Speech-to-Text x LLM x Text-to-Speech Combinations for AI Interview Systems

Rumi Allbert, Nima Yazdani, Ali Ansari +3

Voice-based conversational AI systems increasingly rely on cascaded architectures that combine speech-to-text (STT), large language models (LLMs), and text-to-speech (TTS) componen…

cs.HC2025

Zara: An LLM-based Candidate Interview Feedback System

Nima Yazdani, Aruj Mahajan, Ali Ansari

This paper introduces Zara, an AI-driven recruitment support system developed by micro1, as a practical case study illustrating how large language models (LLMs) can enhance the can…