LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Kabra, Sanchit, Abhyankar, Nikhil, Desai, Saaketh, Iyer, Prasad, Reddy, Chandan K |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery
by: Abhyankar, Nikhil, et al.
Published: (2025)
by: Abhyankar, Nikhil, et al.
Published: (2025)
AutoSciLab: A Self-Driving Laboratory For Interpretable Scientific Discovery
by: Desai, Saaketh, et al.
Published: (2024)
by: Desai, Saaketh, et al.
Published: (2024)
RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables
by: Abhyankar, Nikhil, et al.
Published: (2025)
by: Abhyankar, Nikhil, et al.
Published: (2025)
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
by: Abhyankar, Nikhil, et al.
Published: (2025)
by: Abhyankar, Nikhil, et al.
Published: (2025)
Aligned at the Start: Conceptual Groupings in LLM Embeddings
by: Khatir, Mehrdad, et al.
Published: (2024)
by: Khatir, Mehrdad, et al.
Published: (2024)
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
by: Kabra, Sanchit, et al.
Published: (2025)
by: Kabra, Sanchit, et al.
Published: (2025)
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables
by: Abhyankar, Nikhil, et al.
Published: (2024)
by: Abhyankar, Nikhil, et al.
Published: (2024)
SURFACEBENCH: A Geometry-Aware Benchmark for Symbolic Surface Discovery
by: Kabra, Sanchit, et al.
Published: (2025)
by: Kabra, Sanchit, et al.
Published: (2025)
Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws
by: Jha, Akshita, et al.
Published: (2024)
by: Jha, Akshita, et al.
Published: (2024)
Boltzmann Reinforcement Learning for Noise resilience in Analog Ising Machines
by: Choudhary, Aditya, et al.
Published: (2026)
by: Choudhary, Aditya, et al.
Published: (2026)
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges
by: Reddy, Chandan K, et al.
Published: (2024)
by: Reddy, Chandan K, et al.
Published: (2024)
Learning interpretable surface elasticity properties from bulk properties
by: Desai, Saaketh, et al.
Published: (2025)
by: Desai, Saaketh, et al.
Published: (2025)
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
by: Shojaee, Parshin, et al.
Published: (2024)
by: Shojaee, Parshin, et al.
Published: (2024)
Is Computing with Light All You Need? A Perspective on Codesign for Optical Artificial Intelligence and Scientific Computing
by: Prasad P. Iyer, et al.
Published: (2025)
by: Prasad P. Iyer, et al.
Published: (2025)
AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise
by: Agarwal, Dhruv, et al.
Published: (2025)
by: Agarwal, Dhruv, et al.
Published: (2025)
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
by: Shojaee, Parshin, et al.
Published: (2025)
by: Shojaee, Parshin, et al.
Published: (2025)
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
by: Bright-Thonney, Samuel, et al.
Published: (2025)
by: Bright-Thonney, Samuel, et al.
Published: (2025)
Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery
by: Yang, Zhenning, et al.
Published: (2026)
by: Yang, Zhenning, et al.
Published: (2026)
SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?
by: Sehwag, Udari Madhushani, et al.
Published: (2026)
by: Sehwag, Udari Madhushani, et al.
Published: (2026)
Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection
by: Pushkar, Chinmay, et al.
Published: (2025)
by: Pushkar, Chinmay, et al.
Published: (2025)
Grounding LLMs in Scientific Discovery via Embodied Actions
by: Zhang, Bo, et al.
Published: (2026)
by: Zhang, Bo, et al.
Published: (2026)
A Multi-Agent Human-LLM Collaborative Framework for Closed-Loop Scientific Literature Summarization
by: Jacobson, Maxwell J., et al.
Published: (2026)
by: Jacobson, Maxwell J., et al.
Published: (2026)
FalseReject: A Resource for Improving Contextual Safety and Mitigating Over-Refusals in LLMs via Structured Reasoning
by: Zhang, Zhehao, et al.
Published: (2025)
by: Zhang, Zhehao, et al.
Published: (2025)
Agentic Discovery: Closing the Loop with Cooperative Agents
by: Pauloski, J. Gregory, et al.
Published: (2025)
by: Pauloski, J. Gregory, et al.
Published: (2025)
AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle
by: Qian, Weitong, et al.
Published: (2026)
by: Qian, Weitong, et al.
Published: (2026)
Representation Learning of Lab Values via Masked AutoEncoders
by: Restrepo, David, et al.
Published: (2025)
by: Restrepo, David, et al.
Published: (2025)
SciTS: Scientific Time Series Understanding and Generation with LLMs
by: Wu, Wen, et al.
Published: (2025)
by: Wu, Wen, et al.
Published: (2025)
SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery
by: Vipul Gupta, et al.
Published: (2025)
by: Vipul Gupta, et al.
Published: (2025)
Embodied Science: Closing the Discovery Loop with Agentic Embodied AI
by: Zhuang, Xiang, et al.
Published: (2026)
by: Zhuang, Xiang, et al.
Published: (2026)
Can AI Validate Science? Benchmarking LLMs for Accurate Scientific Claim $\rightarrow$ Evidence Reasoning
by: Javaji, Shashidhar Reddy, et al.
Published: (2025)
by: Javaji, Shashidhar Reddy, et al.
Published: (2025)
Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab
by: Duan, Haonan, et al.
Published: (2025)
by: Duan, Haonan, et al.
Published: (2025)
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
by: Tiwari, Aman, et al.
Published: (2024)
by: Tiwari, Aman, et al.
Published: (2024)
AutoLabs: Cognitive Multi-Agent Systems with Self-Correction for Autonomous Chemical Experimentation
by: Panapitiya, Gihan, et al.
Published: (2025)
by: Panapitiya, Gihan, et al.
Published: (2025)
Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse Supervision
by: He, Xiaohan, et al.
Published: (2026)
by: He, Xiaohan, et al.
Published: (2026)
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery
by: Tie, Guiyao, et al.
Published: (2026)
by: Tie, Guiyao, et al.
Published: (2026)
AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
by: Xiong, Lei, et al.
Published: (2026)
by: Xiong, Lei, et al.
Published: (2026)
Towards an AI Fluid Scientist: LLM-Powered Scientific Discovery in Experimental Fluid Mechanics
by: Feng, Haodong, et al.
Published: (2025)
by: Feng, Haodong, et al.
Published: (2025)
Exploring LLMs for Scientific Information Extraction Using The SciEx Framework
by: Li, Sha, et al.
Published: (2025)
by: Li, Sha, et al.
Published: (2025)
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
by: Jansen, Peter, et al.
Published: (2025)
by: Jansen, Peter, et al.
Published: (2025)
Self-driving lab discovers principles for steering spontaneous emission
by: Desai, Saaketh, et al.
Published: (2024)
by: Desai, Saaketh, et al.
Published: (2024)
Similar Items
-
LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery
by: Abhyankar, Nikhil, et al.
Published: (2025) -
AutoSciLab: A Self-Driving Laboratory For Interpretable Scientific Discovery
by: Desai, Saaketh, et al.
Published: (2024) -
RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables
by: Abhyankar, Nikhil, et al.
Published: (2025) -
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
by: Abhyankar, Nikhil, et al.
Published: (2025) -
Aligned at the Start: Conceptual Groupings in LLM Embeddings
by: Khatir, Mehrdad, et al.
Published: (2024)