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Home/Authors/Kyunghyun Cho

Kyunghyun Cho

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

12

papers

1,301

total citations

papers (12)

Self-Rewarding Language Models

True Few-Shot Learning with Language Models

NEURIPS 2021arXiv

Protein Design with Guided Discrete Diffusion

NEURIPS 2023arXiv

NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions

NEURIPS 2025arXiv

Aioli: A Unified Optimization Framework for Language Model Data Mixing

Concept Bottleneck Language Models For Protein Design

BOtied: Multi-objective Bayesian optimization with tied multivariate ranks

$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs

Generative multitask learning mitigates target-causing confounding

NEURIPS 2022arXiv

Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning

AbDiffuser: full-atom generation of in-vitro functioning antibodies

Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization