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Omar Khattab

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#artificial intelligence Preprint Oct 2026

ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research

What makes great scientists great? Even as AI systems start to make progress on open problems, scientists remain far ahead of them at sensing which prior idea, buried in an ever-growing archive of research, a new problem needs. To study this skill, we draw on researchers who know firsthand which earlier work advanced t...

Sohyeon Kim, Yoonho Lee, Bo Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Crypto Accounting Bench: Evaluating Frontier and Open-Weight Models on Crypto-Asset Accounting Tasks

Deterministic diagnostics, read from each task's best of 3 attempts and macro-averaged across the 12 models, show higher base-amount agreement than deciding-account accuracy, which identifies account selection and complete-entry composition as the main remaining challenges on CAB.

Kareem A. Khattab, Omar Khattab, Mohamed I. Ibrahem · 0 citations
Open access Aug 2026

Carnot: Interpretable, Interactive, and Optimized Execution of Deep Research Queries

Carnot is an interactive execution engine for AI-driven analytics that compiles natural language requests into physical execution graphs and surfaces them through an interactive notebook interface, and Carnot's query optimizer will optimize the query with respect to cost or latency constraints provided by the user.

Matthew Russo, Yash Agarwal, Tianyu Li et al. · 0 citations

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