token probability

Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios EMNLP 2025 Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs NAACL 2025 EvalAssist: LLM-as-a-Judge Simplified AAAI 2025 HalluRAG-RUG at SemEval-2025 Task 3: Using Retrieval-Augmented Generation for Hallucination Detection in Model Outputs SemEval 2025 Information-Theoretic and Prompt-Based Evaluation of Discourse Connective Edits in Instructional Text Revisions EMNLP 2025 Measuring scalar constructs in social science with LLMs EMNLP 2025 Nuance Matters: Probing Epistemic Consistency in Causal Reasoning AAAI 2025 Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations NAACL 2025 Towards Understanding How Knowledge Evolves in Large Vision-Language Models CVPR 2025 Training-free LLM-generated Text Detection by Mining Token Probability Sequences ICLR 2025 UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models EMNLP 2025 Understanding Token Probability Encoding in Output Embeddings COLING 2025 ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence NeurIPS 2024 Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models ACL 2024 Duwak: Dual Watermarks in Large Language Models ACL 2024 Large Language Model Recall Uncertainty is Modulated by the Fan Effect CoNLL 2024 Lightweight reranking for language model generations ACL 2024 MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024 Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method EMNLP 2024 SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding ACL 2024 Revisiting Source Context in Nearest Neighbor Machine Translation EMNLP 2023 Self-Consistency of Large Language Models under Ambiguity EMNLP 2023