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An AI4Research Scoring Benchmark: Characterizing and Calibrating LLM Evaluation of Automated Research Protocols

https://doi.org/10.2139/ssrn.7422696
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Large language models in medical and healthcare fields: applications, advances, and challenges
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Highly accurate protein structure prediction with AlphaFold
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Scientific discovery in the age of artificial intelligence
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Solving olympiad geometry without human demonstrations
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Mathematical discoveries from program search with large language models
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Fast, sensitive detection of protein homologs using deep dense retrieval
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Toward expert-level medical question answering with large language models
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Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers
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Ensemble deep learning in bioinformatics
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Generalized biomolecular modeling and design with RoseTTAFold All-Atom
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Query Performance Prediction Using Relevance Judgments Generated by Large Language Models
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Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
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Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.153openalex-snapshot
G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment
inferredcites →https://doi.org/10.52202/075280-0377openalex-snapshot
Reflexion: language agents with verbal reinforcement learning
inferredcites →https://doi.org/10.52202/075280-0517openalex-snapshot
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
inferredcites →https://doi.org/10.52202/075280-2019openalex-snapshot
Self-Refine: Iterative Refinement with Self-Feedback
inferredcites →https://doi.org/10.52202/075280-2020openalex-snapshot
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
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