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Understand new AI research with readable explanations and links to the original papers.
Protein inverse folding is a critical task in biotechnology that involves designing amino acid sequences that will fold into a specific 3D structure.
Can LLMs Discover Scientific Laws in Real and Parallel Worlds? This paper investigates whether Large Language Models (LLMs) can genuinely discover scientific...
Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM Teachers This paper introduces SAGE, a framework designed to help AI ag...
Parsing the Stream: A Live Trace Model for Long-Horizon Agents and Their Observers Long-horizon AI agents generate massive amounts of data as they work, crea...
Large Language Model (LLM) agents often fail in complex, multi-step tasks, but these failures are rarely caused by a single isolated mistake.
EdiTikZ: Scientific Figure Editing from Revision Trajectories Scientific figures are essential for academic communication, but creating and refining them is...
When Guardrails Look Effective: Construct Validity Failures in LLM Agent Commerce Evaluation This paper investigates a critical measurement trap in the field...
EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation Scientific AI agents often struggle to update their understanding of th...
This paper introduces a framework for predicting grapevine cold hardiness—the temperature at which 50% of dormant buds freeze (LT50)—across different geograp...
Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence explores how to continue improving Large Reasoning Models (LRMs) as...
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