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Analysis of Prompt Engineering for Drug Toxicity Prediction

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1 SIGNALFIRST DETECTED 4 September 2026
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16 Jul
Improving Molecular Property Prediction in Small Language Models Using Graph-based Tools

arXiv:2607.13115v1 Announce Type: new Abstract: Small language models (SLMs) have shown promise for zero-shot molecular property prediction from SMILES strings, yet they often

REPORT · HOW · ArXiv CS.AIOPEN STORY
2 Apr
Brevity Constraints Reverse Performance Hierarchies in Language Models

arXiv:2604.00025v1 Announce Type: cross Abstract: Standard evaluation protocols reveal a counterintuitive phenomenon: on 7.7% of benchmark problems spanning five datasets, larger

REPORT · HOW · ArXiv CS.AIOPEN STORY
27 Apr
MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization

arXiv:2604.21937v1 Announce Type: new Abstract: Computational drug discovery, particularly the complex workflows of drug molecule screening and optimization, requires

REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 Mar
Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimization

arXiv:2603.18388v1 Announce Type: new Abstract: Automatic prompt optimization (APO) has emerged as a powerful paradigm for improving LLM performance without manual prompt

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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