greedy decoding

SmartSight: Mitigating Hallucination in Video-LLMs Without Compromising Video Understanding via Temporal Attention Collapse AAAI 2026 Efficient Decoding Methods for Language Models on Encrypted Data IJCNLP 2025 LNE-Blocking: An Efficient Framework for Contamination Mitigation Evaluation on Large Language Models EMNLP 2025 NGPU-LM: GPU-Accelerated N-Gram Language Model for Context-Biasing in Greedy ASR Decoding Interspeech 2025 The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism NAACL 2025 The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation ICLR 2025 Tokenized Bandit for LLM Decoding and Alignment ICML 2025 WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Interspeech 2025 Chain-of-Thought Reasoning Without Prompting NeurIPS 2024 How are Prompts Different in Terms of Sensitivity? NAACL 2024 Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios ACL 2024 Speed of Light Exact Greedy Decoding for RNN-T Speech Recognition Models on GPU Interspeech 2024 Faithfulness-Aware Decoding Strategies for Abstractive Summarization EACL 2023 Relation Also Need Attention: Integrating Relation Information Into Image Captioning ACML 2021 Attention Is All You Need for Chinese Word Segmentation EMNLP 2020 A Stable and Effective Learning Strategy for Trainable Greedy Decoding EMNLP 2018 AMR Parsing using Stack-LSTMs EMNLP 2017 A non-projective greedy dependency parser with bidirectional LSTMs CoNLL 2017 Fast and Accurate Neural Word Segmentation for Chinese ACL 2017 Trainable Greedy Decoding for Neural Machine Translation EMNLP 2017