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Aschenbrenner 2024 Situational Awareness - The Decade Ahead
Zhao et al, 2023, A Survey of Large Language Models
Wang et al, 2023, A Survey on Large Language Model based Autonomous Agents
Huang et al, 2023, Towards Reasoning in Large Language Models: A Survey
Mialon et al, 2023, Augmented Language Models: a Survey
Hou et al, 2023, Large Language Models for Software Engineering: A Systematic Literature Review
Huang 2t al, 2024, Understanding the planning of LLM agents: A survey
Baek et al, 2024, ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
Wang et al, 2023, SCIMON : Scientific Inspiration Machines Optimized for Novelty
Gu & Krenn, 2024, Generation and human-expert evaluation of interesting research ideas using knowledge graphs and large language model
Zhang et al, 2023, AutoML-GPT: Automatic Machine Learning with GPT
Lu et al, 2024, Discovering Preference Optimization Algorithms with and for Large Language Models
Viswanathan et al, 2023, Prompt2Model: Generating Deployable Models from Natural Language Instructions
Yang et al, 2024, AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks
Qian et al, 2023, MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
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Boiko et al. 2023, Autonomous chemical research with large language models
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Hong et al, 2024, Data Interpreter: An LLM Agent For Data Science
Ilfargan et al, 2024, Autonomous LLM-Driven Research from Data to Human-Verifiable Research Papers
Liang et al, 2023, Can large language models provide useful feedback on research papers? A large-scale empirical analysis
Takagi, 2023, Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Research
Fukushima, 1980, Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
Chollet, 2019, On the Measure of Intelligence
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