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Chenze Shao

21 papers · 2018–2025 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (35) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ† Grand Slam
πŸ”¬ Deep Specialist (16) 🀝 Dynamic Duo (16) πŸ† Keyword Champion (3) 🧭 Keyword Pioneer πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (91) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze

Venues

ACL (5) EMNLP (5) AAAI (3) NeurIPS (3) ICLR (2) ICML (2) NAACL (1)

Top co-authors

Yang Feng (16) Jie Zhou (8) Fandong Meng (7) Zhengrui Ma (5) Min Zhang (3) Jinchao Zhang (3) Shangtong Gui (2) Xuanfu Wu (2) Zhengxin Yang (2) Shuhao Gu (2)

Research topics

Natural Language Processing (20) Deep Learning (17) Applications (16) Machine Learning (14) Learning Types Β· Deep Learning (10) Optimization & Theory Β· Machine Learning (8) Artificial Intelligence (7) Generation (7) Architectures (6) Core AI (6) Learning Types Β· Machine Learning (5) Models (5) Application Areas (3) Core Methods (3) Optimization & Theory Β· Deep Learning (2)

Keywords

neural machine translation (12) non-autoregressive translation (9) machine translation (7) text generation (4) multi-modality problem (3) knowledge distillation (3) teacher forcing (3) reinforcement learning (2) large language model (2) strictly proper scoring rules (2) directed acyclic graph (2) sequence generation (2) beam search (2) text summarization (1) language modeling (1) variational inference (1) autoregressive generation (1) zero-shot learning (1) vector quantization (1) natural language generation (1)

Papers

Beyond Next Token Prediction: Patch-Level Training for Large Language Models ICLR 2025 Continuous Visual Autoregressive Generation via Score Maximization ICML 2025 Instruction Position Matters in Sequence Generation with Large Language Models ACL 2024 Language Generation with Strictly Proper Scoring Rules ICML 2024 Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective ACL 2024 Beyond MLE: Convex Learning for Text Generation NeurIPS 2023 Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation ICLR 2023 Non-autoregressive Machine Translation with Probabilistic Context-free Grammar NeurIPS 2023 Non-autoregressive Streaming Transformer for Simultaneous Translation EMNLP 2023 Rephrasing the Reference for Non-autoregressive Machine Translation AAAI 2023 Non-Autoregressive Models for Fast Sequence Generation EMNLP 2022 Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation NeurIPS 2022 One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation NAACL 2022 Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation ACL 2022 Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation EMNLP 2022 Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation ACL 2021 Generating Diverse Translation from Model Distribution with Dropout EMNLP 2020 Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation AAAI 2020 Modeling Fluency and Faithfulness for Diverse Neural Machine Translation AAAI 2020 Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation ACL 2019 Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation EMNLP 2018