{"total":96,"rows":[{"id":"2107.03006","title":"Structured Denoising Diffusion Models in Discrete State-Spaces","created":"2021-07-07","cited_by_count":1719,"area":"wm"},{"id":"2205.14217","title":"Diffusion-LM Improves Controllable Text Generation","created":"2022-05-27","cited_by_count":1027,"area":null},{"id":"2211.15029","title":"DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models","created":"2022-11-28","cited_by_count":214,"area":"diffusion"},{"id":"2211.15089","title":"Continuous diffusion for categorical data","created":"2022-11-28","cited_by_count":214,"area":"diffusion"},{"id":"2203.16487","title":"Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation","created":"2022-03-30","cited_by_count":171,"area":"inference"},{"id":"2106.03802","title":"Learning to Efficiently Sample from Diffusion Probabilistic Models","created":"2021-06-07","cited_by_count":129,"area":"diffusion"},{"id":"2305.10427","title":"Accelerating Transformer Inference for Translation via Parallel Decoding","created":"2023-05-17","cited_by_count":124,"area":"inference"},{"id":"2206.11894","title":"MaskViT: Masked Visual Pre-Training for Video Prediction","created":"2022-06-23","cited_by_count":114,"area":null},{"id":"2112.06749","title":"Step-unrolled Denoising Autoencoders for Text Generation","created":"2021-12-13","cited_by_count":102,"area":null},{"id":"2111.12701","title":"Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes","created":"2021-11-24","cited_by_count":71,"area":"diffusion"},{"id":"2204.09269","title":"A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond","created":"2022-04-20","cited_by_count":64,"area":null},{"id":"2106.05093","title":"Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation","created":"2021-06-09","cited_by_count":57,"area":null},{"id":"2205.07459","title":"Directed Acyclic Transformer for Non-Autoregressive Machine Translation","created":"2022-05-16","cited_by_count":44,"area":null},{"id":"2210.16886","title":"DiffusER: Discrete Diffusion via Edit-based Reconstruction","created":"2022-10-30","cited_by_count":41,"area":"diffusion"},{"id":"2110.07515","title":"Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision","created":"2021-10-14","cited_by_count":40,"area":null},{"id":"2312.12728","title":"Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy","created":"2023-12-20","cited_by_count":37,"area":"inference"},{"id":"2110.05249","title":"A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation","created":"2021-10-11","cited_by_count":28,"area":null},{"id":"2206.05975","title":"On the Learning of Non-Autoregressive Transformers","created":"2022-06-13","cited_by_count":27,"area":null},{"id":"2206.04571","title":"Revisiting End-to-End Speech-to-Text Translation From Scratch","created":"2022-06-09","cited_by_count":26,"area":null},{"id":"2106.05546","title":"Progressive Multi-Granularity Training for Non-Autoregressive Translation","created":"2021-06-10","cited_by_count":25,"area":null},{"id":"2210.05200","title":"CTC Alignments Improve Autoregressive Translation","created":"2022-10-11","cited_by_count":25,"area":null},{"id":"2109.06481","title":"AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate","created":"2021-09-14","cited_by_count":24,"area":null},{"id":"2105.04840","title":"Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation","created":"2021-05-11","cited_by_count":23,"area":null},{"id":"2304.04746","title":"A Cheaper and Better Diffusion Language Model with Soft-Masked Noise","created":"2023-04-10","cited_by_count":21,"area":"diffusion"},{"id":"2406.03049","title":"StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning","created":"2024-06-05","cited_by_count":21,"area":null},{"id":"2203.09486","title":"An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models","created":"2022-03-17","cited_by_count":20,"area":null},{"id":"2205.14333","title":"One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation","created":"2022-05-28","cited_by_count":20,"area":null},{"id":"2106.08122","title":"Sequence-Level Training for Non-Autoregressive Neural Machine Translation","created":"2021-06-15","cited_by_count":18,"area":null},{"id":"2205.10350","title":"Lossless Acceleration for Seq2seq Generation with Aggressive Decoding","created":"2022-05-20","cited_by_count":18,"area":null},{"id":"2104.04923","title":"Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog","created":"2021-04-11","cited_by_count":17,"area":null},{"id":"2210.03953","title":"Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation","created":"2022-10-08","cited_by_count":16,"area":null},{"id":"2101.08942","title":"Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation","created":"2021-01-22","cited_by_count":13,"area":null},{"id":"2205.14522","title":"A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization","created":"2022-05-28","cited_by_count":13,"area":null},{"id":"2210.05193","title":"Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation","created":"2022-10-11","cited_by_count":13,"area":null},{"id":"2301.11503","title":"Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation","created":"2023-01-27","cited_by_count":13,"area":null},{"id":"2205.14521","title":"Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization","created":"2022-05-28","cited_by_count":12,"area":null},{"id":"2205.01966","title":"Non-Autoregressive Machine Translation: It's Not as Fast as it Seems","created":"2022-05-04","cited_by_count":11,"area":null},{"id":"2303.06662","title":"Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation","created":"2023-03-12","cited_by_count":11,"area":null},{"id":"2210.13304","title":"ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation","created":"2022-10-24","cited_by_count":10,"area":"inference"},{"id":"2105.03458","title":"Duplex Sequence-to-Sequence Learning for Reversible Machine Translation","created":"2021-05-07","cited_by_count":9,"area":null},{"id":"2109.04411","title":"Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring","created":"2021-09-09","cited_by_count":9,"area":null},{"id":"2206.03318","title":"LegoNN: Building Modular Encoder-Decoder Models","created":"2022-06-07","cited_by_count":9,"area":null},{"id":"2212.01039","title":"SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition","created":"2022-12-02","cited_by_count":9,"area":null},{"id":"2305.17358","title":"CTC-based Non-autoregressive Speech Translation","created":"2023-05-27","cited_by_count":9,"area":null},{"id":"2310.07403","title":"DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation","created":"2023-10-11","cited_by_count":9,"area":null},{"id":"2106.09885","title":"An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition","created":"2021-06-18","cited_by_count":8,"area":null},{"id":"2112.11640","title":"Self-Distillation Mixup Training for Non-autoregressive Neural Machine Translation","created":"2021-12-22","cited_by_count":8,"area":"distill"},{"id":"2210.03999","title":"ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation","created":"2022-10-08","cited_by_count":8,"area":null},{"id":"2310.07821","title":"Non-autoregressive Text Editing with Copy-aware Latent Alignments","created":"2023-10-11","cited_by_count":8,"area":null},{"id":"2210.11017","title":"Multi-Granularity Optimization for Non-Autoregressive Translation","created":"2022-10-20","cited_by_count":6,"area":null},{"id":"2401.17181","title":"Transfer Learning for Text Diffusion Models","created":"2024-01-30","cited_by_count":6,"area":"diffusion"},{"id":"2407.21046","title":"Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines","created":"2024-07-22","cited_by_count":6,"area":null},{"id":"2205.10577","title":"Non-Autoregressive Neural Machine Translation: A Call for Clarity","created":"2022-05-21","cited_by_count":5,"area":null},{"id":"2207.04206","title":"A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation","created":"2022-07-09","cited_by_count":5,"area":null},{"id":"2210.06020","title":"Integrating Translation Memories into Non-Autoregressive Machine Translation","created":"2022-10-12","cited_by_count":5,"area":null},{"id":"2303.07457","title":"AMOM: Adaptive Masking over Masking for Conditional Masked Language Model","created":"2023-03-13","cited_by_count":5,"area":null},{"id":"2304.07611","title":"A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition","created":"2023-04-15","cited_by_count":5,"area":null},{"id":"2401.16375","title":"Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator","created":"2024-01-29","cited_by_count":5,"area":null},{"id":"2310.17217","title":"Beyond MLE: Convex Learning for Text Generation","created":"2023-10-26","cited_by_count":4,"area":null},{"id":"2311.07941","title":"Non-autoregressive Machine Translation with Probabilistic Context-free Grammar","created":"2023-11-14","cited_by_count":4,"area":null},{"id":"2506.13485","title":"Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing","created":"2025-06-16","cited_by_count":4,"area":null},{"id":"2104.09554","title":"Can Latent Alignments Improve Autoregressive Machine Translation?","created":"2021-04-19","cited_by_count":3,"area":null},{"id":"2203.16266","title":"DePA: Improving Non-autoregressive Machine Translation with Dependency-Aware Decoder","created":"2022-03-30","cited_by_count":3,"area":null},{"id":"2204.06748","title":"Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning","created":"2022-04-14","cited_by_count":3,"area":null},{"id":"2210.10416","title":"Hybrid-Regressive Neural Machine Translation","created":"2022-10-19","cited_by_count":3,"area":null},{"id":"2211.16863","title":"Rephrasing the Reference for Non-Autoregressive Machine Translation","created":"2022-11-30","cited_by_count":3,"area":null},{"id":"2212.10240","title":"Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning","created":"2022-12-20","cited_by_count":3,"area":null},{"id":"2311.08191","title":"GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding","created":"2023-11-14","cited_by_count":3,"area":null},{"id":"2404.06773","title":"Adapting LLaMA Decoder to Vision Transformer","created":"2024-04-10","cited_by_count":3,"area":null},{"id":"2504.15509","title":"SimulS2S-LLM: Unlocking Simultaneous Inference of Speech LLMs for Speech-to-Speech Translation","created":"2025-04-22","cited_by_count":3,"area":null},{"id":"2210.03405","title":"PARAGEN : A Parallel Generation Toolkit","created":"2022-10-07","cited_by_count":2,"area":null},{"id":"2302.05138","title":"Plan-then-Seam: Towards Efficient Table-to-Text Generation","created":"2023-02-10","cited_by_count":2,"area":null},{"id":"2305.16155","title":"Revisiting Non-Autoregressive Translation at Scale","created":"2023-05-25","cited_by_count":2,"area":null},{"id":"2406.06739","title":"Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval","created":"2024-06-10","cited_by_count":2,"area":null},{"id":"2501.13397","title":"ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models","created":"2025-01-23","cited_by_count":2,"area":"lr"},{"id":"2112.08570","title":"Can Multilinguality benefit Non-autoregressive Machine Translation?","created":"2021-12-16","cited_by_count":1,"area":null},{"id":"2211.06075","title":"Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators","created":"2022-11-11","cited_by_count":1,"area":"inference"},{"id":"2302.10871","title":"Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation","created":"2023-02-21","cited_by_count":1,"area":null},{"id":"2303.07665","title":"RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer","created":"2023-03-14","cited_by_count":1,"area":null},{"id":"2305.12878","title":"Non-Autoregressive Document-Level Machine Translation","created":"2023-05-22","cited_by_count":1,"area":null},{"id":"2305.13140","title":"Extrapolating Multilingual Understanding Models as Multilingual Generators","created":"2023-05-22","cited_by_count":1,"area":null},{"id":"2305.13667","title":"Optimizing Non-Autoregressive Transformers with Contrastive Learning","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2405.12788","title":"What Have We Achieved on Non-autoregressive Translation?","created":"2024-05-21","cited_by_count":1,"area":null},{"id":"2506.23431","title":"Pipelined Decoder for Efficient Context-Aware Text Generation","created":"2025-06-29","cited_by_count":1,"area":null},{"id":"2104.08388","title":"Neural String Edit Distance","created":"2021-04-16","cited_by_count":0,"area":null},{"id":"2108.12522","title":"Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP","created":"2021-08-27","cited_by_count":0,"area":null},{"id":"2206.02999","title":"DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation","created":"2022-06-07","cited_by_count":0,"area":null},{"id":"2306.06345","title":"Improving Non-autoregressive Translation Quality with Pretrained Language Model, Embedding Distillation and Upsampling Strategy for CTC","created":"2023-06-10","cited_by_count":0,"area":null},{"id":"2310.09512","title":"Attentive Multi-Layer Perceptron for Non-autoregressive Generation","created":"2023-10-14","cited_by_count":0,"area":null},{"id":"2402.18428","title":"Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation","created":"2024-02-28","cited_by_count":0,"area":null},{"id":"2405.02673","title":"On the Information Redundancy in Non-Autoregressive Translation","created":"2024-05-04","cited_by_count":0,"area":null},{"id":"2406.07823","title":"PRoDeliberation: Parallel Robust Deliberation for End-to-End Spoken Language Understanding","created":"2024-06-12","cited_by_count":0,"area":null},{"id":"2406.16526","title":"NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair","created":"2024-06-24","cited_by_count":0,"area":null},{"id":"2601.22546","title":"Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation","created":"2026-01-30","cited_by_count":0,"area":"lr"},{"id":"2601.22947","title":"Reconsidering Positional Supervision in Masked Diffusion Language Model Training","created":"2026-01-30","cited_by_count":0,"area":"diffusion"},{"id":"2607.05148","title":"Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection","created":"2026-07-06","cited_by_count":0,"area":null}],"next_cursor":null}