Empowering biomedical discovery with AI agents

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Attention Is All You Need

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ImageNet classification with deep convolutional neural networks

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Highly accurate protein structure prediction with AlphaFold

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Language Models are Few-Shot Learners

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An integrated map of genetic variation from 1,092 human genomes

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Evolutionary-scale prediction of atomic level protein structure with a language model

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Accurate prediction of protein structures and interactions using a 3-track network

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LLaMA: Open and Efficient Foundation Language Models

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Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models

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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

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Large language models encode clinical knowledge

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Large Language Models Encode Clinical Knowledge

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DrugBank: a comprehensive resource for in silico drug discovery and exploration

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QLoRA: Efficient Finetuning of Quantized LLMs

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A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles

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Next-generation characterization of the Cancer Cell Line Encyclopedia

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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

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Training Language Models to Follow Instructions with Human Feedback

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Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

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Fast and accurate protein structure search with Foldseek

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Fast and accurate protein structure search with Foldseek

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Gene expression correlates of clinical prostate cancer behavior

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A Deep Learning Approach to Antibiotic Discovery

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Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning

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Visual instruction tuning

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Zero-shot text-to-image generation

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The ChEMBL database in 2017

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Self-Refine: Iterative Refinement with Self-Feedback

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The human cell atlas

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Generative Agents: Interactive Simulacra of Human Behavior

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Generative Agents: Interactive Simulacra of Human Behavior

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Large Language Models are Zero-Shot Reasoners

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Large language models are zero-shot reasoners

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A survey on large language model based autonomous agents

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Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens

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Genome-wide association studies

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Scientific discovery in the age of artificial intelligence.

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Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data

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Toward expert-level medical question answering with large language models

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Large Language Model based Multi-Agents: A Survey of Progress and Challenges

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Deep learning enables rapid identification of potent DDR1 kinase inhibitors

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Evaluating Large Language Models Trained on Code

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Transfer learning enables predictions in network biology

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Tree of Thoughts: Deliberate Problem Solving with Large Language Models

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BioGPT: generative pre-trained transformer for biomedical text generation and mining

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A robotic platform for flow synthesis of organic compounds informed by AI planning

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Unsupervised word embeddings capture latent knowledge from materials science literature

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Finetuned Language Models Are Zero-Shot Learners

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Reflexion: Language Agents with Verbal Reinforcement Learning

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Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

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Autonomous chemical research with large language models

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The Drug Repurposing Hub: a next-generation drug library and information resource

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Gemini: A Family of Highly Capable Multimodal Models

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The Rise and Potential of Large Language Model Based Agents: A Survey

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The rise and potential of large language model based agents: a survey

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Drugging the ‘undruggable’ cancer targets

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Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!Preprint

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A tutorial on conducting genome‐wide association studies: Quality control and statistical analysis

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Self-Consistency Improves Chain of Thought Reasoning in Language Models

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Teaching Large Language Models to Self-Debug

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Augmenting large language models with chemistry tools

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Code as Policies: Language Model Programs for Embodied Control

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Evaluating large language models trained on code

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Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

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A visual–language foundation model for pathology image analysis using medical twitter

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Direct Preference Optimization: Your Language Model is Secretly a Reward Model

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Machine learning for integrating data in biology and medicine: principles, practice, and opportunities

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Text and Code Embeddings by Contrastive Pre-TrainingPreprint

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A tutorial on conformal prediction

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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

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ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

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Spatial proteomics: a powerful discovery tool for cell biology

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PaLM-E: An Embodied Multimodal Language Model

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ChatGPT for Robotics: Design Principles and Model Abilities

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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

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OpenCell: Endogenous tagging for the cartography of human cellular organization

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Graph of Thoughts: Solving Elaborate Problems with Large Language Models

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Predicting drug response and synergy using a deep learning model of human cancer cells

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Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

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Advancing mathematics by guiding human intuition with AI

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