Showing 1–20 of 21 results
/ Date/ Name
Oct 6, 2021Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty EstimationJul 11, 2025Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is MissingJan 3, 2021Recoding latent sentence representations -- Dynamic gradient-based activation modification in RNNsApr 13, 2022Experimental Standards for Deep Learning in Natural Language Processing ResearchFeb 26, 2026Probing for Knowledge Attribution in Large Language ModelsJan 10, 2024Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-TalkMar 9, 2024Calibrating Large Language Models Using Their Generations OnlyFeb 1, 2024Non-Exchangeable Conformal Language Generation with Nearest NeighborsOct 4, 2024On Uncertainty In Natural Language ProcessingDec 9, 2020Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD DetectionNov 6, 2020Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular DataOct 20, 2022Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data ScarcityApr 14, 2022deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural NetworksJul 28, 2023Uncertainty in Natural Language Generation: From Theory to ApplicationsJun 4, 2019On the Realization of Compositionality in Neural NetworksFeb 18, 2026Queer NLP: A Critical Survey on Literature Gaps, Biases and TrendsJun 7, 2019Assessing incrementality in sequence-to-sequence modelsFeb 20, 2024TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box IdentificationJan 12, 2026Calibration Is Not Enough: Evaluating Confidence Estimation Under Language VariationsOct 2, 2023Non-Exchangeable Conformal Risk Control