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20132026
most citedModeling polypharmacy side effects with graph convolutional networks

1.5k citations · 6.9k across the 102 of their papers we have counts for

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18 papers · 1 filter

cs.AI2026

Agentic discovery of blood biomarker from distilled private health records

Seffi Cohen, Liat Antwarg Friedman, Amir Anisman +7

Routine complete blood counts (CBCs) could yield new biomarkers, but the private records needed to evaluate candidates cannot be shared with frontier language model agents that exc…

cs.AI2026

Do LLMs Know What to Ask and When? Evaluating Multi-Turn Information Seeking

Yepeng Huang, Jiawen Zhang, Michelle Dai +4

When a user question is underspecified, a capable model should recognize that its context is insufficient, identify the missing information, ask for it, and respond only once that…

cs.AI2026

MatrAIx: Simulating the World with 8.3 Billion Persona Agents

Xiaomin Li, Yuexing Hao, Jianheng Hou +90

Human evaluation of AI systems and digital products is costly, slow, and difficult to scale. Offline evaluations are more scalable but often abstract away human diversity and inter…

cs.AI2026

An AI agent for treatment reasoning over a biomedical tool universe

Shanghua Gao, Ayush Noori, Richard Zhu +13

Treatment reasoning underpins every therapeutic decision, integrating disease context, comorbidities, medications, contraindications, and evolving biomedical knowledge to select an…

cs.AI2026

Benchmarking AI Agents for Addressing Scientific Challenges Across Scales

Tianyu Liu, Allen Xin Wang, Antonia Panescu +30

AI agents are increasingly being developed to accelerate scientific discovery, yet their practical capabilities in real research settings remain poorly understood. Existing benchma…

cs.AI2026

Evaluating Relational Reasoning in LLMs with REL

Lukas Fesser, Yasha Ektefaie, Ada Fang +2

Relational reasoning is the ability to infer relations that jointly bind multiple entities, attributes, or variables. This ability is central to scientific reasoning, but existing…