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conftrace_

teacher forcing

32 papers

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TF

Co-occurring keywords · papers mentioning both

exposure bia (8) text generation (5) neural machine translation (5) recurrent neural network (4) next-token prediction (3) language model (3) autoregressive model (3) sequence generation (3) scheduled sampling (2) dynamical system (2)

Papers

DVAR: Dynamic Visual Autoregressive Modeling for Image Super-Resolution CVPR 2026 Is EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark ACL 2026 Tight Sample Complexity of Transformers COLT 2026 A Novel Deep Learning Framework for Efficient Multichannel Acoustic Feedback Control Interspeech 2025 DepthART: Monocular Depth Estimation as Autoregressive Refinement Task IJCAI 2025 Taming Teacher Forcing for Masked Autoregressive Video Generation CVPR 2025 Training Recurrent Neural Networks with Inherent Missing Data for Wearable Device Applications (Student Abstract) AAAI 2025 Transformers Provably Solve Parity Efficiently with Chain of Thought ICLR 2025 Semformer: Transformer Language Models with Semantic Planning EMNLP 2024 The Mystery of the Pathological Path-star Task for Language Models EMNLP 2024 The Pitfalls of Next-Token Prediction ICML 2024 Generalized Teacher Forcing for Learning Chaotic Dynamics ICML 2023 Iterative autoregression: a novel trick to improve your low-latency speech enhancement model Interspeech 2023 On the Effectiveness of Offline RL for Dialogue Response Generation ICML 2023 R-TeaFor: Regularized Teacher-Forcing for Abstractive Summarization EMNLP 2022 Teacher Forcing Recovers Reward Functions for Text Generation NeurIPS 2022 Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems ICML 2022 Can Latent Alignments Improve Autoregressive Machine Translation? NAACL 2021 Deliberation-Based Multi-Pass Speech Synthesis Interspeech 2021 Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation? EMNLP 2021 Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation ACL 2021 Mixed Cross Entropy Loss for Neural Machine Translation ICML 2021 Set Prediction in the Latent Space NeurIPS 2021 Modeling Fluency and Faithfulness for Diverse Neural Machine Translation AAAI 2020 Noise Isn’t Always Negative: Countering Exposure Bias in Sequence-to-Sequence Inflection Models COLING 2020