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Kyunghyun Cho

NYU professor and Genentech / Prescient Design AI lead; co-inventor of GRU and seq2seq with attention.

Role
professor
Papers
30

Cite

Notes

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30papers

Authored papers

30

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

arXiv 2025

2025

MIST: Mutual Information Estimation Via Supervised Training

arXiv 2025

2025

AION-1: Omnimodal Foundation Model for Astronomical Sciences

arXiv 2025

2025

HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in Hanja

arXiv 2025

2025

Aioli: A Unified Optimization Framework for Language Model Data Mixing

arXiv 2024

2024

When Does Classical Chinese Help? Quantifying Cross-Lingual Transfer in Hanja and Kanbun

arXiv 2024

2024

Large-Scale Targeted Cause Discovery with Data-Driven Learning

arXiv 2024

2024

Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning

arXiv 2024

2024

AstroCLIP: A Cross-Modal Foundation Model for Galaxies

arXiv 2023

2023

Improving Code Generation by Training with Natural Language Feedback

arXiv 2023

2023

Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning

arXiv 2023

2023

Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs

arXiv 2023

2023

System-Level Natural Language Feedback

arXiv 2023

2023

Training Language Models with Language Feedback at Scale

arXiv 2023

2023

Towards Understanding and Improving GFlowNet Training

arXiv 2023

2023

Latent State Models of Training Dynamics

arXiv 2023

2023

A Non-monotonic Self-terminating Language Model

arXiv 2022

2022

KLUE: Korean Language Understanding Evaluation

arXiv 2021

2021

NaturalProofs: Mathematical Theorem Proving in Natural Language

arXiv 2021

2021

AdapterHub: A Framework for Adapting Transformers

EMNLP 2020 11

2020

Capacity, Bandwidth, and Compositionality in Emergent Language Learning

arXiv 2019

2019

Passage Re-ranking with BERT

arXiv 2019

2019

BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model

bert-has-a-mouth-and-it-must-speak-bert-as-a-1

2019

Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models

ICLR 2020 1

2019

SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

arXiv 2017

2017

End-to-End Goal-Driven Web Navigation

end-to-end-goal-driven-web-navigation-1

2016

Convolutional Recurrent Neural Networks for Music Classification

arXiv 2016

2016

Describing Videos by Exploiting Temporal Structure

describing-videos-by-exploiting-temporal-1

2015

Natural Language Understanding with Distributed Representation

arXiv 2015

2015

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

arXiv 2014

2014

Affiliations

Currently at

New York University

professor · university lab

Frequent co-authors

10

from 30 papers