Chunting Zhou
31 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (8)
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(8)
🤝
Dynamic Duo
(19)
🌱
Topic Pioneer
🔥
Unstoppable
(9)
📈
Trend Setter
🗃️
Keyword Collector
(101)
⚡
Prolific Year
(6)
💎
Century Club
(31)
Conferences
ACL (8)
ICLR (7)
EMNLP (6)
IJCNLP (3)
NIPS (3)
NAACL (2)
CONLL (1)
ICML (1)
Top co-authors
Keywords
large language model
(6)
in-context learning
(4)
semi-supervised learning
(3)
latent variable model
(3)
neural machine translation
(3)
parallel decoding
(2)
variational autoencoder
(2)
low-resource machine translation
(2)
data augmentation
(2)
machine translation
(2)
instruction tuning
(2)
sequence modeling
(2)
model scaling
(2)
generative flow
(2)
attention mechanism
(2)
unsupervised learning
(2)
text generation
(2)
zero-shot learning
(2)
distributionally robust optimization
(2)
latent variable
(2)
Papers
Byte Latent Transformer: Patches Scale Better Than Tokens
ACL 2025
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
ICLR 2025
Instruction-tuned Language Models are Better Knowledge Learners
ACL 2024
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
NIPS 2024
Self-Alignment with Instruction Backtranslation
ICLR 2024
In-Context Pretraining: Language Modeling Beyond Document Boundaries
ICLR 2024
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
NAACL 2024
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning
ACL 2023
Look-back Decoding for Open-Ended Text Generation
EMNLP 2023
LIMA: Less Is More for Alignment
NIPS 2023
Training Trajectories of Language Models Across Scales
ACL 2023
In-context Examples Selection for Machine Translation
ACL 2023
Mega: Moving Average Equipped Gated Attention
ICLR 2023
Towards a Unified View of Parameter-Efficient Transfer Learning
ICLR 2022
Prompt Consistency for Zero-Shot Task Generalization
EMNLP 2022
Distributionally Robust Multilingual Machine Translation
EMNLP 2021
Detecting Hallucinated Content in Conditional Neural Sequence Generation
ACL 2021
Luna: Linear Unified Nested Attention
NIPS 2021
Examining and Combating Spurious Features under Distribution Shift
ICML 2021
Detecting Hallucinated Content in Conditional Neural Sequence Generation
IJCNLP 2021
Understanding Knowledge Distillation in Non-autoregressive Machine Translation
ICLR 2020
Handling Syntactic Divergence in Low-resource Machine Translation
EMNLP 2019
Density Matching for Bilingual Word Embedding
NAACL 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
EMNLP 2019
Handling Syntactic Divergence in Low-resource Machine Translation
IJCNLP 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
IJCNLP 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
ICLR 2019
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
ACL 2018
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations
EMNLP 2018
Morphological Inflection Generation with Multi-space Variational Encoder-Decoders
CONLL 2017
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction
ACL 2017