nucleus sampling

A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering ICML 2025 Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies ICLR 2025 Efficient Decoding Methods for Language Models on Encrypted Data IJCNLP 2025 Local Normalization Distortion and the Thermodynamic Formalism of Decoding Strategies for Large Language Models EMNLP 2025 Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs ICLR 2025 A Thorough Examination of Decoding Methods in the Era of LLMs EMNLP 2024 Closing the Curious Case of Neural Text Degeneration ICLR 2024 Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation ACL 2024 Impact of Decoding Methods on Human Alignment of Conversational LLMs ACL 2024 Non-Exchangeable Conformal Language Generation with Nearest Neighbors EACL 2024 A Non-monotonic Self-terminating Language Model ICLR 2023 Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models ICML 2023 Conformal Nucleus Sampling ACL 2023 Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation EMNLP 2023 Faithfulness-Aware Decoding Strategies for Abstractive Summarization EACL 2023 For Generated Text, Is NLI-Neutral Text the Best Text? EMNLP 2023 On the Efficacy of Sampling Adapters ACL 2023 Factuality Enhanced Language Models for Open-Ended Text Generation NeurIPS 2022 Truncation Sampling as Language Model Desmoothing EMNLP 2022 What Do You Get When You Cross Beam Search with Nucleus Sampling? ACL 2022 Decoding Methods for Neural Narrative Generation ACL 2021 Language Model Evaluation Beyond Perplexity ACL 2021 MIROSTAT: A NEURAL TEXT DECODING ALGORITHM THAT DIRECTLY CONTROLS PERPLEXITY ICLR 2021 Trading Off Diversity and Quality in Natural Language Generation EACL 2021 A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation AACL 2020