--- title: "Kyunghyun Cho — papers" description: "Kyunghyun Cho: 32 papers in the Elamur Research library (2014–2024) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/kyunghyun-cho/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kyunghyun-cho/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kyunghyun Cho # Kyunghyun Cho 32 papers on this site (2014–2024) [OpenAlex](https://openalex.org/A5091175785) · [ORCID](https://orcid.org/0000-0003-1669-3211) · h-index 67 · 306 works · 49084 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [Iterative Reasoning Preference Optimization](https://md.research.elamur.ai/free/en/papers/pang-2024-iterative-reasoning-preference-optimization/) — Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, et al. · 2024 - [True Few-Shot Learning with Language Models](https://md.research.elamur.ai/free/en/papers/perez-2021-true-few-shot-learning-language/) — Ethan Perez, Douwe Kiela, Kyunghyun Cho · 2021 - [AdapterFusion: Non-Destructive Task Composition for Transfer Learning](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-adapterfusion-non-destructive-task-composition/) — Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, et al. · 2020 - [AdapterHub: A Framework for Adapting Transformers](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-adapterhub-framework-adapting-transformers/) — Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, et al. · 2020 - [Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training](https://md.research.elamur.ai/free/en/papers/li-2020-don-t-say-that-making/) — Margaret Li, Stephen Roller, Ilia Kulikov, et al. · 2020 - [Unsupervised Question Decomposition for Question Answering](https://md.research.elamur.ai/free/en/papers/perez-2020-unsupervised-question-decomposition-question-answering/) — Ethan Perez, Patrick Lewis, Wen-tau Yih, et al. · 2020 - [BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model](https://md.research.elamur.ai/free/en/papers/wang-2019-bert-has-mouth-must-speak/) — Alex Wang, Kyunghyun Cho · 2019 - [Dialogue Natural Language Inference](https://md.research.elamur.ai/free/en/papers/welleck-2019-dialogue-natural-language-inference/) — Sean Welleck, Jason Weston, Arthur Szlam, et al. · 2019 - [Document Expansion by Query Prediction](https://md.research.elamur.ai/free/en/papers/nogueira-2019-document-expansion-query-prediction/) — Rodrigo Nogueira, Wei Yang, Jimmy Lin, et al. · 2019 - [Neural Text Generation with Unlikelihood Training](https://md.research.elamur.ai/free/en/papers/welleck-2019-neural-text-generation-unlikelihood-training/) — Sean Welleck, Ilia Kulikov, Stephen Roller, et al. · 2019 - [Passage Re-ranking with BERT](https://md.research.elamur.ai/free/en/papers/nogueira-2019-passage-re-ranking-bert/) — Rodrigo Nogueira, Kyunghyun Cho · 2019 - [Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement](https://md.research.elamur.ai/free/en/papers/lee-2018-deterministic-non-autoregressive-neural-sequence/) — Jason Lee, Elman Mansimov, Kyunghyun Cho · 2018 - [Meta-Learning for Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gu-2018-meta-learning-low-resource-neural/) — Jiatao Gu, Yong Wang, Yun Chen, et al. · 2018 - [Zero-Shot Transfer Learning for Event Extraction](https://md.research.elamur.ai/free/en/papers/huang-2018-zero-shot-transfer-learning-event/) — Lifu Huang, Heng Ji, Kyunghyun Cho, et al. · 2018 - [Fully Character-Level Neural Machine Translation without Explicit Segmentation](https://md.research.elamur.ai/free/en/papers/lee-2017-fully-character-level-neural-machine/) — Jason Lee, Kyunghyun Cho, Thomas Hofmann · 2017 - [Learning to Parse and Translate Improves Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/eriguchi-2017-learning-parse-translate-improves-neural/) — Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho · 2017 - [Learning to Translate in Real-time with Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gu-2017-learning-translate-real-time-neural/) — Jiatao Gu, Graham Neubig, Kyunghyun Cho, et al. · 2017 - [Nematus: a Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sennrich-2017-nematus-toolkit-neural-machine-translation/) — Rico Sennrich, Orhan Firat, Kyunghyun Cho, et al. · 2017 - [SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine](https://md.research.elamur.ai/free/en/papers/dunn-2017-searchqa-new-q-dataset-augmented/) — Matthew Dunn, Levent Sagun, Mike Higgins, et al. · 2017 - [Unsupervised Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/artetxe-2017-unsupervised-neural-machine-translation/) — Mikel Artetxe, Gorka Labaka, Eneko Agirre, et al. · 2017 - [A Character-level Decoder without Explicit Segmentation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chung-2016-character-level-decoder-without-explicit/) — Junyoung Chung, Kyunghyun Cho, Yoshua Bengio · 2016 - [Joint Event Extraction via Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/nguyen-2016-joint-event-extraction-recurrent-neural/) — Thien Huu Nguyen, Kyunghyun Cho, Ralph Grishman · 2016 - [Learning Distributed Representations of Sentences from Unlabelled Data](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-distributed-representations-sentences-unlabelled/) — Felix Hill, Kyunghyun Cho, Anna Korhonen · 2016 - [Learning to Understand Phrases by Embedding the Dictionary](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-understand-phrases-embedding-dictionary/) — Felix Hill, Kyunghyun Cho, Anna Korhonen, et al. · 2016 - [Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism](https://md.research.elamur.ai/free/en/papers/firat-2016-multi-way-multilingual-neural-machine/) — Orhan Firat, Kyunghyun Cho, Yoshua Bengio · 2016 - [Zero-Resource Translation with Multi-Lingual Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/firat-2016-zero-resource-translation-multi-lingual/) — Orhan Firat, Baskaran Sankaran, Yaser Al-onaizan, et al. · 2016 - [Attention-Based Models for Speech Recognition](https://md.research.elamur.ai/free/en/papers/chorowski-2015-attention-based-models-speech-recognition/) — Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al. · 2015 - [On Using Monolingual Corpora in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gulcehre-2015-using-monolingual-corpora-neural-machine/) — Caglar Gulcehre, Orhan Firat, Kelvin Xu, et al. · 2015 - [On Using Very Large Target Vocabulary for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/jean-2015-very-large-target-vocabulary-neural/) — Sébastien Jean, Kyunghyun Cho, Roland Memisevic, et al. · 2015 - [Show, Attend and Tell: Neural Image Caption Generation with Visual Attention](https://md.research.elamur.ai/free/en/papers/xu-2015-show-attend-tell-neural-image/) — Kelvin Xu, Jimmy Ba, Ryan Kiros, et al. · 2015 - [Neural Machine Translation by Jointly Learning to Align and Translate](https://md.research.elamur.ai/free/en/papers/bahdanau-2014-neural-machine-translation-jointly-learning/) — Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio · 2014 - [On the Properties of Neural Machine Translation: Encoder-Decoder Approaches](https://md.research.elamur.ai/free/en/papers/cho-2014-properties-neural-machine-translation-encoder/) — Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, et al. · 2014