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20232026
most citedAMRG: Extend Vision Language Models for Automatic Mammography Report Generation

1 citations · 1 across the 6 of their papers we have counts for

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math.GT2026

Minimal Complexes of Rational Tangles via the Fukaya Category

Jonathan A. Higgins

We compute minimal complexes for oriented rational tangles, denoted , in terms of the topological Fukaya category of the -punctured disk…

cs.AI2026

MOF-VERIFY: A Failure-Aware Agentic Harness for MOF Hypothesis Verification

Donghyun Lee, Taehoon Lee, Geonhee Ahn +10

Large language models are increasingly used as reasoning components in AI-driven materials Co-Scientists, yet the reliability of the resulting verification pipeline remains unclear…

cs.LG2026

Recursive Harness Self-Improvement

Hyunin Lee, Jinglue Xu, Jeffrey Seely +3

Under model--harness co-evolution, harnesses are not merely inference-time scaffolds but data-generating components whose execution traces can shape future foundation models. This…

cs.AI2026

AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and Reproducibility

Xiaoyuan Liu, Jianhong Tu, Yuqi Chen +26

Agent systems are advancing quickly across domains, but their evaluation remains fragmented. Most benchmarks rely on fixed, LLM-centric harnesses that require heavy integration, cr…

cs.CL2026

optimize_anything: A Universal API for Optimizing any Text Parameter

Lakshya A Agrawal, Donghyun Lee, Shangyin Tan +11

Can a single LLM-based optimization system match specialized tools across fundamentally different domains? We show that when optimization problems are formulated as improving a tex…

cs.MA2026

MIND: AI Co-Scientist for Material Research

Geonhee Ahn, Donghyun Lee, Hayoung Doo +3

Large language models (LLMs) have enabled agentic AI systems for scientific discovery, but most approaches remain limited to textbased reasoning without automated experimental veri…