conftrace_

model uncertainty

90 papers

Explore in graph

Co-occurring keywords

uncertainty quantification (1393) bayesian inference (1907) uncertainty estimation (648) neural network (6616) active learning (1301) data uncertainty (10) large language model (13587) gaussian process (1200) out-of-distribution detection (617) reinforcement learning (4352)

Papers

Online Robust Planning Under Model Uncertainty: A Sample-Based Approach AAAI 2026
Beyond "I Don’t Know": Evaluating LLM Self-Awareness in Discriminating Data and Model Uncertainty ACL 2026
Planning with Uncertain Action Models AAAI 2026
Explaining Sources of Uncertainty in Automated Fact-Checking ACL 2026
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning JMLR 2025
Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty? COLING 2025
Leveraging NTPs for Efficient Hallucination Detection in VLMs AACL 2025
PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty WACV 2025
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL 2025
Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics ACL 2025
Exploring Working Memory Capacity in LLMs: From Stressors to Human-Inspired Strategies IJCNLP 2025
On the Convergence of Moral Self-Correction in Large Language Models AACL 2025
Mining the uncertainty patterns of humans and models in the annotation of moral foundations and human values ACL 2025
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems IJCAI 2025
Towards Multi-Perspective NLP Systems: A Thesis Proposal ACL 2025
Characterizing LLM Abstention Behavior in Science QA with Context Perturbations EMNLP 2024
Differentially private methods for managing model uncertainty in linear regression JMLR 2024
Linguistic Obfuscation Attacks and Large Language Model Uncertainty EACL 2024
Robust Active Measuring under Model Uncertainty AAAI 2024
Monte Carlo Tree Search in the Presence of Transition Uncertainty AAAI 2024
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method NAACL 2024
Bayesian Optimization-Based Combinatorial Assignment AAAI 2023
Bayesian Risk-Averse Q-Learning with Streaming Observations NIPS 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning NIPS 2023
Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification NIPS 2023