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From the 2 of 20 linked papers with an AI index.

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20242026
most citedOctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning

1 citations · 2 across the 13 of their papers we have counts for

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cs.AI2026

Building Agent Harnesses for Scientific Curation from Multimodal Sources

Sheng Zhang, Qin Liu, Renqian Luo +9

The paper introduces Beaver, an agent harness that extracts structured scientific information from papers by integrating text, tables, and figures while preserving provenance, and…

cs.AI2026

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents

Reuben Tan, Baolin Peng, Zhengyuan Yang +16

Agentic reasoning models trained with multimodal reinforcement learning (MMRL) have become increasingly capable, yet they are almost universally optimized using sparse, outcome-bas…

cs.AI2026

AsgardBench -- Evaluating Visually Grounded Interactive Planning Under Minimal Feedback

Andrea Tupini, Lars Liden, Reuben Tan +2

With AsgardBench we aim to evaluate visually grounded, high-level action sequence generation and interactive planning, focusing specifically on plan adaptation during execution bas…

cs.AI2025

The Illusion of Readiness in Health AI

Yu Gu, Jingjing Fu, Xiaodong Liu +29

Large language models have demonstrated remarkable performance in a wide range of medical benchmarks. Yet underneath the seemingly promising results lie salient growth areas, espec…

cs.AI2025

OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning

Timothy Ossowski, Sheng Zhang, Qianchu Liu +5

High-quality and carefully curated data is a cornerstone of training medical large language models, as it directly impacts both generalization and robustness to unseen clinical tas…