Jaekyeom Kim
12 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21)
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Topic Evolution
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Triple Crown
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Machine Learning
(6)
Learning Types Β· Machine Learning
(5)
Deep Learning
(3)
Natural Language Processing
(3)
Reinforcement Learning
(3)
Methods
(3)
Applications
(2)
Models
(2)
Optimization & Theory
(2)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Resources & Methods
(1)
Keywords
reinforcement learning
(4)
large language model
(3)
unsupervised learning
(2)
information bottleneck
(2)
representation learning
(2)
mutual information
(2)
variance reduction
(1)
agent navigation
(1)
transfer learning
(1)
in-context learning
(1)
successor feature
(1)
intent classification
(1)
sequential decision making
(1)
hierarchical learning
(1)
intrinsic motivation
(1)
skill discovery
(1)
language model
(1)
unsupervised skill discovery
(1)
policy gradient
(1)
benchmark evaluation
(1)
Papers
Beyond Blind Following: Evaluating Robustness of LLM Agents under Imperfect Guidance
EACL 2026
Interactive and Expressive Code-Augmented Planning with Large Language Models
ACL 2025
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
NeurIPS 2024
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
EMNLP 2024
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
ACL 2024
Constrained GPI for Zero-Shot Transfer in Reinforcement Learning
NeurIPS 2022
Lipschitz-constrained Unsupervised Skill Discovery
ICLR 2022
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
ICLR 2021
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
NeurIPS 2021
Unsupervised Skill Discovery with Bottleneck Option Learning
ICML 2021
Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning
ECCV 2020
EMI: Exploration with Mutual Information
ICML 2019