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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CV2026

MarkushGlyph and OCSRGlyph: Improved Chemical Structure Recognition

Alex Andonian, Samuel G Rodriques, Andrew D White +1

The paper presents two vision‑language models, OCSRGlyph and MarkushGlyph, that translate images of chemical structures—including single molecules and Markush representations—into…

cs.AI2026

LABBench2: An Improved Benchmark for AI Systems Performing Biology Research

Jon M Laurent, Albert Bou, Michael Pieler +9

Optimism for accelerating scientific discovery with AI continues to grow. Current applications of AI in scientific research range from training dedicated foundation models on scien…

cs.LG2025

Training a Scientific Reasoning Model for Chemistry

Siddharth M. Narayanan, James D. Braza, Ryan-Rhys Griffiths +6

Reasoning models are large language models that emit a long chain-of-thought before answering, providing both higher accuracy and explicit reasoning for their response. A major que…

q-bio.QM2025

BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology

Ludovico Mitchener, Jon M Laurent, Alex Andonian +6

Large Language Models (LLMs) and LLM-based agents show great promise in accelerating scientific research. Existing benchmarks for measuring this potential and guiding future develo…

cs.AI2025

Robin: A multi-agent system for automating scientific discovery

Ali Essam Ghareeb, Benjamin Chang, Ludovico Mitchener +7

Scientific discovery is driven by the iterative process of background research, hypothesis generation, experimentation, and data analysis. Despite recent advancements in applying a…