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Kyunghyun Cho

145 papers · 2013–2025 · 19 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 40 separate collaboration groups - the largest holds only 46% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Kyunghyun Cho?

16 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Douwe Kiela, Yoshua Bengio, Sean Welleck 67 papers · 2014–2025 · EMNLP, ACL, NeurIPS Hide ▲
Aioli: A Unified Optimization Framework for Language Model Data Mixing ICLR 2025 Following Length Constraints in Instructions EMNLP 2025 Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check EMNLP 2025 Iterative Reasoning Preference Optimization NeurIPS 2024 Leveraging Implicit Feedback from Deployment Data in Dialogue EACL 2024 Self-Rewarding Language Models ICML 2024 Show Your Work with Confidence: Confidence Bands for Tuning Curves NAACL 2024 System-Level Natural Language Feedback EACL 2024 Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling AACL 2022 DEEP: DEnoising Entity Pre-training for Neural Machine Translation ACL 2022 Comparing Test Sets with Item Response Theory ACL 2021 MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling AAAI 2021 Mode recovery in neural autoregressive sequence modeling ACL 2021 Rissanen Data Analysis: Examining Dataset Characteristics via Description Length ICML 2021 True Few-Shot Learning with Language Models NeurIPS 2021 VisualSem: a high-quality knowledge graph for vision and language EMNLP 2021 Consistency of a Recurrent Language Model With Respect to Incomplete Decoding EMNLP 2020 Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training ACL 2020 Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation EMNLP 2020 Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior AAAI 2020 Learning to Learn Morphological Inflection for Resource-Poor Languages AAAI 2020 Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation EMNLP 2020 Neural Machine Translation with Byte-Level Subwords AAAI 2020 Neural Text Generation With Unlikelihood Training ICLR 2020 On the Discrepancy between Density Estimation and Sequence Generation EMNLP 2020 Unsupervised Question Decomposition for Question Answering EMNLP 2020 Can Unconditional Language Models Recover Arbitrary Sentences? NeurIPS 2019 Countering Language Drift via Visual Grounding EMNLP 2019 Dialogue Natural Language Inference ACL 2019 Emergent Linguistic Phenomena in Multi-Agent Communication Games EMNLP 2019 Finding Generalizable Evidence by Learning to Convince Q&A Models EMNLP 2019 Generating Diverse Translations with Sentence Codes ACL 2019 Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations ACL 2019 Neural Unsupervised Parsing Beyond English EMNLP 2019 Non-Monotonic Sequential Text Generation ACL 2019 Non-Monotonic Sequential Text Generation ICML 2019 Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set EMNLP 2019 A Stable and Effective Learning Strategy for Trainable Greedy Decoding EMNLP 2018 Boundary Seeking GANs ICLR 2018 Code-Switched Named Entity Recognition with Embedding Attention ACL 2018 Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement EMNLP 2018 Dynamic Meta-Embeddings for Improved Sentence Representations EMNLP 2018 Emergent Communication in a Multi-Modal, Multi-Step Referential Game ICLR 2018 Emergent Translation in Multi-Agent Communication ICLR 2018 Grammar Induction with Neural Language Models: An Unusual Replication EMNLP 2018 Jump to better conclusions: SCAN both left and right EMNLP 2018 Loss Functions for Multiset Prediction NeurIPS 2018 Meta-Learning for Low-Resource Neural Machine Translation EMNLP 2018 The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection CoNLL 2018 Training a Ranking Function for Open-Domain Question Answering NAACL 2018 Learning to Translate in Real-time with Neural Machine Translation EACL 2017 Nematus: a Toolkit for Neural Machine Translation EACL 2017 Saliency-based Sequential Image Attention with Multiset Prediction NeurIPS 2017 Trainable Greedy Decoding for Neural Machine Translation EMNLP 2017 A Character-level Decoder without Explicit Segmentation for Neural Machine Translation ACL 2016 Iterative Refinement of the Approximate Posterior for Directed Belief Networks NeurIPS 2016 Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism NAACL 2016 Zero-Resource Translation with Multi-Lingual Neural Machine Translation EMNLP 2016 Attention-Based Models for Speech Recognition NeurIPS 2015 Describing Videos by Exploiting Temporal Structure ICCV 2015 Gated Feedback Recurrent Neural Networks ICML 2015 On Using Very Large Target Vocabulary for Neural Machine Translation ACL 2015 Show, Attend and Tell: Neural Image Caption Generation with Visual Attention ICML 2015 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014 Iterative Neural Autoregressive Distribution Estimator NADE-k NeurIPS 2014 Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation EMNLP 2014 On the Number of Linear Regions of Deep Neural Networks NeurIPS 2014
24 papers whose co-authors appear nowhere else under this name
X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs ICLR 2025 Language Models as Causal Effect Generators EMNLP 2025 Predicting the Year of Total Knee Replacement: A Transformer-Based Multimodal Approach MIDL 2025 The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models NAACL 2025 Generalization Measures for Zero-Shot Cross-Lingual Transfer EMNLP 2024 Multiple Physics Pretraining for Spatiotemporal Surrogate Models NeurIPS 2024 Non-convolutional graph neural networks. NeurIPS 2024 Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning ICML 2024 Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization ICML 2024 Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule ICLR 2021 Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search ACL 2021 Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement EMNLP 2021 A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks JMLR 2020 SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness EMNLP 2020 Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples CVPR 2019 Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018 Learning to Parse and Translate Improves Neural Machine Translation ACL 2017 A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation COLING 2016 Gated Word-Character Recurrent Language Model EMNLP 2016 Joint Event Extraction via Recurrent Neural Networks NAACL 2016 Larger-Context Language Modelling with Recurrent Neural Network ACL 2016 Learning Distributed Representations of Sentences from Unlabelled Data NAACL 2016 Neural Machine Translation ACL 2016 Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ICML 2013

Venues · all papers under this name

EMNLP (36) ACL (22) NeurIPS (19) ICLR (18) ICML (13) NAACL (10) EACL (6) AAAI (5) MIDL (3) COLING (2) AACL (2) Interspeech (2) AISTATS (1) CLeaR (1) CoNLL (1) CVPR (1) ICCV (1) IJCNLP (1) JMLR (1)