{"total":21,"rows":[{"id":"2308.13111","title":"Bayesian Low-rank Adaptation for Large Language Models","created":"2023-08-24","cited_by_count":115,"area":null},{"id":"2406.11675","title":"BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models","created":"2024-06-17","cited_by_count":50,"area":null},{"id":"2303.11607","title":"Transformers in Speech Processing: A Survey","created":"2023-03-21","cited_by_count":39,"area":null},{"id":"2402.12264","title":"Uncertainty quantification in fine-tuned LLMs using LoRA ensembles","created":"2024-02-19","cited_by_count":37,"area":null},{"id":"2303.02444","title":"Calibrating Transformers via Sparse Gaussian Processes","created":"2023-03-04","cited_by_count":21,"area":null},{"id":"2405.03425","title":"Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models","created":"2024-05-06","cited_by_count":20,"area":null},{"id":"2206.00826","title":"BayesFormer: Transformer with Uncertainty Estimation","created":"2022-06-02","cited_by_count":19,"area":null},{"id":"2110.04020","title":"Pathologies in priors and inference for Bayesian transformers","created":"2021-10-08","cited_by_count":13,"area":null},{"id":"2110.08388","title":"Probing as Quantifying Inductive Bias","created":"2021-10-15","cited_by_count":12,"area":null},{"id":"2502.20525","title":"Revisiting Kernel Attention with Correlated Gaussian Process Representation","created":"2025-02-27","cited_by_count":10,"area":null},{"id":"2407.15351","title":"LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation","created":"2024-07-22","cited_by_count":8,"area":null},{"id":"2402.01476","title":"Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes","created":"2024-02-02","cited_by_count":5,"area":null},{"id":"2402.13606","title":"MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models","created":"2024-02-21","cited_by_count":4,"area":null},{"id":"2602.02952","title":"UAT-LITE: Inference-Time Uncertainty-Aware Attention for Pretrained Transformers","created":"2026-02-03","cited_by_count":4,"area":null},{"id":"2205.13902","title":"Sample-Efficient Optimisation with Probabilistic Transformer Surrogates","created":"2022-05-27","cited_by_count":3,"area":null},{"id":"2208.13259","title":"Bayesian Neural Network Language Modeling for Speech Recognition","created":"2022-08-28","cited_by_count":3,"area":null},{"id":"2601.21003","title":"Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models","created":"2026-01-28","cited_by_count":2,"area":null},{"id":"2602.14318","title":"In Transformer We Trust? A Perspective on Transformer Architecture Failure Modes","created":"2026-02-15","cited_by_count":1,"area":null},{"id":"2410.12478","title":"MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2509.10695","title":"Kalman Bayesian Transformer","created":"2025-09-12","cited_by_count":0,"area":null},{"id":"2605.27747","title":"Soft Specialists: $\\alpha$-R\\'enyi Ensembles for Uncertainty-Aware LLM Post-Training","created":"2026-05-26","cited_by_count":0,"area":null}],"next_cursor":null}