← Authors

Kyunghyun Cho

154 papers · 2013–2025 · 19 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (19) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (36) 🌟 Keyword Trendsetter Combo (9) 🀝 Dynamic Duo (14) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (19) πŸ† Keyword Champion (8) πŸ”₯ Unstoppable (13) ⚑ Prolific Year (16) ❓ The Questioner πŸ’Ž Century Club (153) πŸ—ƒοΈ Keyword Collector (498) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

EMNLP (36) ACL (22) NIPS (19) ICLR (18) ICML (13) IJCNLP (10) NAACL (10) EACL (6) AAAI (5) AACL (3) COLING (2) INTERSPEECH (2) MIDL (2) AISTATS (1) CLEAR (1) CONLL (1) CVPR (1) ICCV (1) JMLR (1)

Top co-authors

Douwe Kiela (14) Yoshua Bengio (12) Sean Welleck (11) Jason Weston (10) Ilia Kulikov (8) Jason Lee (7) Heng Ji (6) Samuel R. Bowman (6) Richard Yuanzhe Pang (6) Ethan Perez (5)

Keywords

language model (15) neural machine translation (15) machine translation (9) transfer learning (9) sequence generation (8) cross-lingual transfer (8) text generation (8) neural network (7) recurrent neural network (7) reinforcement learning (6) representation learning (5) autoregressive model (5) multi-agent system (5) low-resource language (5) beam search (5) zero-shot learning (4) named entity recognition (4) generative model (4) natural language understanding (4) maximum likelihood (4)

Papers

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models NAACL 2025
Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks ICML 2025
Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check EMNLP 2025
Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents IJCNLP 2025
Following Length Constraints in Instructions EMNLP 2025
Language Models as Causal Effect Generators EMNLP 2025
$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs ICLR 2025
Concept Bottleneck Language Models For Protein Design ICLR 2025
Semiparametric conformal prediction AISTATS 2025
Aioli: A Unified Optimization Framework for Language Model Data Mixing ICLR 2025
Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents AACL 2025
System-Level Natural Language Feedback EACL 2024
Concept Bottleneck Generative Models ICLR 2024
Non-convolutional graph neural networks. NIPS 2024
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient NIPS 2024
Preference Learning Algorithms Do Not Learn Preference Rankings NIPS 2024
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning NIPS 2024
Iterative Reasoning Preference Optimization NIPS 2024
Multiple Physics Pretraining for Spatiotemporal Surrogate Models NIPS 2024
Protein Discovery with Discrete Walk-Jump Sampling ICLR 2024
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs ICLR 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
Show Your Work with Confidence: Confidence Bands for Tuning Curves NAACL 2024
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models NAACL 2024
Generalization Measures for Zero-Shot Cross-Lingual Transfer EMNLP 2024
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks ICML 2024
Leveraging Implicit Feedback from Deployment Data in Dialogue EACL 2024
Self-Rewarding Language Models ICML 2024
Linear Connectivity Reveals Generalization Strategies ICLR 2023
AbDiffuser: full-atom generation of in-vitro functioning antibodies NIPS 2023
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling CLEAR 2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis MIDL 2023
Protein Design with Guided Discrete Diffusion NIPS 2023
Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment ACL 2023
Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section ACL 2023
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation ACL 2023
Towards Understanding and Improving GFlowNet Training ICML 2023
A Non-monotonic Self-terminating Language Model ICLR 2023
Improving Joint Speech-Text Representations Without Alignment INTERSPEECH 2023
Translation between Molecules and Natural Language EMNLP 2022
Translating Hanja Historical Documents to Contemporary Korean and English EMNLP 2022
Chemical-Reaction-Aware Molecule Representation Learning ICLR 2022
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling AACL 2022
Towards Disentangled Speech Representations INTERSPEECH 2022
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling IJCNLP 2022
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea NAACL 2022
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model NAACL 2022
DEEP: DEnoising Entity Pre-training for Neural Machine Translation ACL 2022
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks ICML 2022
Generative multitask learning mitigates target-causing confounding NIPS 2022
True Few-Shot Learning with Language Models NIPS 2021
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement EMNLP 2021
VisualSem: a high-quality knowledge graph for vision and language EMNLP 2021
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule ICLR 2021
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length ICML 2021
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization ICML 2021
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search ACL 2021
MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling AAAI 2021
Comparing Test Sets with Item Response Theory ACL 2021
Comparing Test Sets with Item Response Theory IJCNLP 2021
Mode recovery in neural autoregressive sequence modeling IJCNLP 2021
AdapterFusion: Non-Destructive Task Composition for Transfer Learning EACL 2021
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models EACL 2021
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction EMNLP 2021
Mode recovery in neural autoregressive sequence modeling ACL 2021
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search IJCNLP 2021
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness EMNLP 2020
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding EMNLP 2020
Unsupervised Question Decomposition for Question Answering EMNLP 2020
AdapterHub: A Framework for Adapting Transformers EMNLP 2020
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset EMNLP 2020
On the Discrepancy between Density Estimation and Sequence Generation EMNLP 2020
Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation EMNLP 2020
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior AAAI 2020
Compositionality and Capacity in Emergent Languages ACL 2020
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset ACL 2020
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries ACL 2020
Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training ACL 2020
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks JMLR 2020
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening MIDL 2020
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation AACL 2020
Neural Machine Translation with Byte-Level Subwords AAAI 2020
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning COLING 2020
Learning to Learn Morphological Inflection for Resource-Poor Languages AAAI 2020
Dynamics-Aware Embeddings ICLR 2020
Neural Text Generation With Unlikelihood Training ICLR 2020
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models ICLR 2020
Connecting the Dots: Event Graph Schema Induction with Path Language Modeling EMNLP 2020
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation EMNLP 2020
Neural Unsupervised Parsing Beyond English EMNLP 2019
Can Unconditional Language Models Recover Arbitrary Sentences? NIPS 2019
Classifier-Agnostic Saliency Map Extraction AAAI 2019
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations ACL 2019
Generating Diverse Translations with Sentence Codes ACL 2019
Dialogue Natural Language Inference ACL 2019
Non-Monotonic Sequential Text Generation ACL 2019
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples CVPR 2019
Finding Generalizable Evidence by Learning to Convince Q&A Models EMNLP 2019
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set EMNLP 2019
Emergent Linguistic Phenomena in Multi-Agent Communication Games EMNLP 2019
Countering Language Drift via Visual Grounding EMNLP 2019
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder ICLR 2019
Non-Monotonic Sequential Text Generation ICML 2019
Finding Generalizable Evidence by Learning to Convince Q&A Models IJCNLP 2019
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set IJCNLP 2019
Emergent Linguistic Phenomena in Multi-Agent Communication Games IJCNLP 2019
Countering Language Drift via Visual Grounding IJCNLP 2019
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model NAACL 2019
Jump to better conclusions: SCAN both left and right EMNLP 2018
Dynamic Meta-Embeddings for Improved Sentence Representations EMNLP 2018
Code-Switched Named Entity Recognition with Embedding Attention ACL 2018
Zero-Shot Transfer Learning for Event Extraction ACL 2018
The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection CONLL 2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement EMNLP 2018
Emergent Communication in a Multi-Modal, Multi-Step Referential Game ICLR 2018
Unsupervised Neural Machine Translation ICLR 2018
Emergent Translation in Multi-Agent Communication ICLR 2018
Grammar Induction with Neural Language Models: An Unusual Replication EMNLP 2018
A Stable and Effective Learning Strategy for Trainable Greedy Decoding EMNLP 2018
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding EMNLP 2018
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018
Meta-Learning for Low-Resource Neural Machine Translation EMNLP 2018
Boundary Seeking GANs ICLR 2018
Training a Ranking Function for Open-Domain Question Answering NAACL 2018
Loss Functions for Multiset Prediction NIPS 2018
Nematus: a Toolkit for Neural Machine Translation EACL 2017
Saliency-based Sequential Image Attention with Multiset Prediction NIPS 2017
Trainable Greedy Decoding for Neural Machine Translation EMNLP 2017
Task-Oriented Query Reformulation with Reinforcement Learning EMNLP 2017
Learning to Translate in Real-time with Neural Machine Translation EACL 2017
Learning to Parse and Translate Improves Neural Machine Translation ACL 2017
Joint Event Extraction via Recurrent Neural Networks NAACL 2016
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism NAACL 2016
Learning Distributed Representations of Sentences from Unlabelled Data NAACL 2016
Iterative Refinement of the Approximate Posterior for Directed Belief Networks NIPS 2016
End-to-End Goal-Driven Web Navigation NIPS 2016
Gated Word-Character Recurrent Language Model EMNLP 2016
Neural Machine Translation ACL 2016
A Character-level Decoder without Explicit Segmentation for Neural Machine Translation ACL 2016
Larger-Context Language Modelling with Recurrent Neural Network ACL 2016
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation COLING 2016
Zero-Resource Translation with Multi-Lingual Neural Machine Translation EMNLP 2016
Attention-Based Models for Speech Recognition NIPS 2015
On Using Very Large Target Vocabulary for Neural Machine Translation IJCNLP 2015
On Using Very Large Target Vocabulary for Neural Machine Translation ACL 2015
Gated Feedback Recurrent Neural Networks ICML 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention ICML 2015
Describing Videos by Exploiting Temporal Structure ICCV 2015
On the Number of Linear Regions of Deep Neural Networks NIPS 2014
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation EMNLP 2014
Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NIPS 2014
Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ICML 2013