Chunting Zhou

According to our database1, Chunting Zhou authored at least 36 papers between 2013 and 2024.

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Bibliography

2024
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.
CoRR, 2024

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length.
CoRR, 2024

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

In-Context Pretraining: Language Modeling Beyond Document Boundaries.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-Alignment with Instruction Backtranslation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Instruction-tuned Language Models are Better Knowledge Learners.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.
CoRR, 2023

LIMA: Less Is More for Alignment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mega: Moving Average Equipped Gated Attention.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Look-back Decoding for Open-Ended Text Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Training Trajectories of Language Models Across Scales.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

In-context Examples Selection for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Towards a Unified View of Parameter-Efficient Transfer Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Prompt Consistency for Zero-Shot Task Generalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Learning Structures for Deep Neural Networks.
CoRR, 2021

Luna: Linear Unified Nested Attention.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Examining and Combating Spurious Features under Distribution Shift.
Proceedings of the 38th International Conference on Machine Learning, 2021

Distributionally Robust Multilingual Machine Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Detecting Hallucinated Content in Conditional Neural Sequence Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Detecting Hallucinated Content in Conditional Neural Sequence Generation.
CoRR, 2020

Understanding Knowledge Distillation in Non-autoregressive Machine Translation.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
The ARIEL-CMU Systems for LoReHLT18.
CoRR, 2019

Density Matching for Bilingual Word Embedding.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders.
Proceedings of the 7th International Conference on Learning Representations, 2019

Handling Syntactic Divergence in Low-resource Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Morphological Inflection Generation with Multi-space Variational Encoder-Decoders.
Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, 2017

Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2015
A C-LSTM Neural Network for Text Classification.
CoRR, 2015

Category Enhanced Word Embedding.
CoRR, 2015

Efficient Methods for Multi-label Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Optimized Periodical Charging in Large-Scale Deployed WSNs.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

2013
A practical solution to wireless energy transfer in WSNs.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2013


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