output distribution

Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions AAAI 2026 Task-aware Block Pruning with Output Distribution Signals for Large Language Models EACL 2026 A Probabilistic Perspective on Unlearning and Alignment for Large Language Models ICLR 2025 Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning ACL 2025 Disentangling Uncertainties by Learning Compressed Data Representation L4DC 2025 Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition ICML 2025 LLM Jailbreak Detection for (Almost) Free! EMNLP 2025 Long-Short Alignment for Effective Long-Context Modeling in LLMs ICML 2025 Downstream Trade-offs of a Family of Text Watermarks EMNLP 2024 Dual-Space Knowledge Distillation for Large Language Models EMNLP 2024 Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models ACL 2024 Position: Do pretrained Transformers Learn In-Context by Gradient Descent? ICML 2024 Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space ICML 2023 Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation NAACL 2022 An Empirical Investigation of Contextualized Number Prediction EMNLP 2020 Distribution Matching for Transduction NeurIPS 2009