LLM-ODE integrates large language models into genetic programming to guide symbolic search for governing equations of dynamical systems, outperforming classical GP on 91 test cases in efficiency and solution quality.
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A think-aloud study reveals that AI tools in early research misrepresent uncertainty, obscure provenance, and create fragile trust, leading researchers to develop compensatory strategies to preserve scholarly judgment.
SciHorizon-GENE is a 540K-question benchmark showing that LLMs systematically fail on low-attention genes, hallucinate when annotations are absent, and give incomplete multi-answer responses.
An LLM multi-agent framework (SpaCellAgent) automates end-to-end trajectory inference on single-cell and spatial transcriptomics data, achieving expert-aligned accuracy with 41.2% faster analysis time.
citing papers explorer
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LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models
LLM-ODE integrates large language models into genetic programming to guide symbolic search for governing equations of dynamical systems, outperforming classical GP on 91 test cases in efficiency and solution quality.
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How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study
A think-aloud study reveals that AI tools in early research misrepresent uncertainty, obscure provenance, and create fragile trust, leading researchers to develop compensatory strategies to preserve scholarly judgment.
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SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding
SciHorizon-GENE is a 540K-question benchmark showing that LLMs systematically fail on low-attention genes, hallucinate when annotations are absent, and give incomplete multi-answer responses.
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SpaCellAgent: A Self-Evolving LLM-Based Multi-Agent Framework for Trajectory Analysis
An LLM multi-agent framework (SpaCellAgent) automates end-to-end trajectory inference on single-cell and spatial transcriptomics data, achieving expert-aligned accuracy with 41.2% faster analysis time.