Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis | Paper Citation Record

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This paper cites Interactome: gateway into systems biology,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Interactome: gateway into systems biology,

Reference 1

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This paper cites Chapter 4: Protein interactions and disease,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Chapter 4: Protein interactions and disease,

Reference 2

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This paper cites The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest,

Reference 3

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This paper cites The BioGRID interaction database: 2019 update,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis The BioGRID interaction database: 2019 update,

Reference 4

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This paper cites The MIntAct project–intact as a common curation platform for 11 molecular interaction databases,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis The MIntAct project–intact as a common curation platform for 11 molecular interaction databases,

Reference 5

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This paper cites Identification of direct residue contacts in protein–protein interaction by message passing,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Identification of direct residue contacts in protein–protein interaction by message passing,

Reference 6

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This paper cites BIPSPI: A method for the prediction of partner-specific protein-protein interfaces,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis BIPSPI: A method for the prediction of partner-specific protein-protein interfaces,

Reference 7

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This paper cites Cornea: A pipeline to decrypt the inter-protein interfaces from amino acid sequence information,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Cornea: A pipeline to decrypt the inter-protein interfaces from amino acid sequence information,

Reference 8

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This paper cites State-of-the-art computational methods to predict protein–protein interactions with high accuracy and coverage,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis State-of-the-art computational methods to predict protein–protein interactions with high accuracy and coverage,

Reference 9

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This paper cites Revolutionizing protein–protein interaction prediction with deep learning,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Revolutionizing protein–protein interaction prediction with deep learning,

Reference 10

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This paper cites Protein- protein interaction prediction with deep learning: A comprehensive review,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Protein- protein interaction prediction with deep learning: A comprehensive review,

Reference 11

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This paper cites A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 12

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This paper cites Large Language Models: A Survey.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Large Language Models: A Survey

Reference 13

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This paper cites Language models are unsupervised multitask learners,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Language models are unsupervised multitask learners,

Reference 14

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This paper cites Language models are few-shot learners,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Language models are few-shot learners,

Reference 15

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This paper cites GPT-4 Technical Report.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis GPT-4 Technical Report

Reference 16

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This paper cites The Llama 3 Herd of Models.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis The Llama 3 Herd of Models

Reference 17

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This paper cites scgpt: toward building a foundation model for single-cell multi-omics using generative ai,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis scgpt: toward building a foundation model for single-cell multi-omics using generative ai,

Reference 18

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This paper cites BioGPT: Generative pre- trained transformer for biomedical text generation and mining,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis BioGPT: Generative pre- trained transformer for biomedical text generation and mining,

Reference 19

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This paper cites Large language models encode clinical knowledge,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Large language models encode clinical knowledge,

Reference 20

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This paper cites GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records

Reference 21

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This paper cites ChemCrow: Augmenting large-language models with chemistry tools.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis ChemCrow: Augmenting large-language models with chemistry tools

Reference 22

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Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Galactica: A Large Language Model for Science

Reference 23

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This paper cites BloombergGPT: A Large Language Model for Finance.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis BloombergGPT: A Large Language Model for Finance

Reference 24

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This paper cites ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change

Reference 25

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This paper cites ProteinBERT: a universal deep-learning model of protein sequence and function,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis ProteinBERT: a universal deep-learning model of protein sequence and function,

Reference 26

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This paper cites Simulating 500 million years of evolution with a language model,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Simulating 500 million years of evolution with a language model,

Reference 27

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This paper cites BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine

Reference 28

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This paper cites Evaluating large language models for predicting protein behavior under radiation exposure and disease conditions,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Evaluating large language models for predicting protein behavior under radiation exposure and disease conditions,

Reference 29

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This paper cites Think twice before trusting: Self-detection for large language models through comprehensive answer reflection,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Think twice before trusting: Self-detection for large language models through comprehensive answer reflection,

Reference 30

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This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 31

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Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 32

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This paper cites Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

Reference 33

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Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Unresolved cited work

Reference 34

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This paper cites What are Bayesian neural network posteriors really like?,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis What are Bayesian neural network posteriors really like?,

Reference 35

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Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Weight uncertainty in neural network,

Reference 36

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This paper cites Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details,

Reference 37

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This paper cites Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks,

Reference 38

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This paper cites Learning active subspaces for effective and scalable uncertainty quantification in deep neural networks,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Learning active subspaces for effective and scalable uncertainty quantification in deep neural networks,

Reference 39

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This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 40

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This paper cites A simple baseline for Bayesian uncertainty in deep learning,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis A simple baseline for Bayesian uncertainty in deep learning,

Reference 41

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This paper cites Sequential Bayesian Neural Subnetwork Ensembles.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Sequential Bayesian Neural Subnetwork Ensembles

Reference 42

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This paper cites LoRA: Low-rank adaptation of large language models,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis LoRA: Low-rank adaptation of large language models,

Reference 43

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Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Bayesian low-rank adaptation for large language models,

Reference 44

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Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis BLoB: Bayesian low-rank adaptation by backpropagation for large language models,

Reference 45

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This paper cites Bayesian-LoRA: LoRA based parameter efficient fine-tuning using optimal quantization levels and rank values trough differentiable Bayesian gates,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Bayesian-LoRA: LoRA based parameter efficient fine-tuning using optimal quantization levels and rank values trough differentiable Bayesian gates,

Reference 46

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This paper cites Gaussian stochastic weight averaging for Bayesian low-rank adaptation of large language models,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Gaussian stochastic weight averaging for Bayesian low-rank adaptation of large language models,

Reference 47

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This paper cites LoRA ensembles for large language model fine-tuning.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis LoRA ensembles for large language model fine-tuning

Reference 48

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This paper cites Uncertainty quantification in fine-tuned LLMs using LoRA ensembles.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 49

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This paper cites Laplace redux-effortless Bayesian deep learning,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Laplace redux-effortless Bayesian deep learning,

Reference 50

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This paper cites Adapting the linearised laplace model evidence for modern deep learning,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Adapting the linearised laplace model evidence for modern deep learning,

Reference 51

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This paper cites Peft: State-of- the-art parameter-efficient fine-tuning methods,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Peft: State-of- the-art parameter-efficient fine-tuning methods,

Reference 52

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This paper cites Predicting protein–protein interactions using symmetric logistic matrix factorization,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Predicting protein–protein interactions using symmetric logistic matrix factorization,

Reference 53

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This paper cites Network-based protein- protein interaction prediction method maps perturbations of cancer interactome,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Network-based protein- protein interaction prediction method maps perturbations of cancer interactome,

Reference 54

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This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,

Reference 55

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This paper cites Pareto prompt optimization,.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Pareto prompt optimization,

Reference 56

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