Jaehyung Kim
31 papers · 2020–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
🗺️ Taxonomy Completionist (69) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(16)
🧬
Topic Evolution
🏆
Grand Slam
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
💎
Century Club · Bronze
🌈
Renaissance Researcher
(6)
🗃️
Keyword Collector
(152)
Top co-authors
Research topics
Machine Learning
(22)
Artificial Intelligence
(20)
Core AI
(17)
Natural Language Processing
(16)
Learning Types · Machine Learning
(16)
Deep Learning
(13)
Application Areas
(10)
Learning Types · Deep Learning
(9)
Resources & Methods
(9)
Core Methods
(6)
Applications
(5)
Learning Paradigms
(5)
Generation
(3)
Models
(3)
Architectures
(2)
Keywords
large language model
(13)
preference learning
(4)
language model
(4)
representation learning
(3)
text classification
(3)
class imbalance
(3)
feature learning
(2)
molecular structure
(2)
reinforcement learning
(2)
pairwise comparison
(2)
retrieval-augmented generation
(2)
data augmentation
(2)
self-supervised learning
(2)
knowledge retention
(2)
transfer learning
(1)
black-box optimization
(1)
vision transformer
(1)
online learning
(1)
action recognition
(1)
semi-supervised learning
(1)
Papers
Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models
ACL 2026
EMCEE: Improving Multilingual Capability of LLMs via Bridging Knowledge and Reasoning with Extracted Synthetic Multilingual Context
ACL 2026
Gap-K%: Measuring Top-1 Prediction Gap for Detecting Pretraining Data
ACL 2026
Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting
AAAI 2026
Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding
ACL 2026
A low-cost and lightweight 6 DoF bimanual arm for dynamic and contact-rich manipulation
RSS 2025
Debiasing Online Preference Learning via Preference Feature Preservation
ACL 2025
Few-shot Personalization of LLMs with Mis-aligned Responses
NAACL 2025
Improving Chemical Understanding of LLMs via SMILES Parsing
EMNLP 2025
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
EMNLP 2025
Personalized LLM Decoding via Contrasting Personal Preference
EMNLP 2025
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
ICML 2025
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
ICLR 2025
Structural Reasoning Improves Molecular Understanding of LLM
ACL 2025
An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
ICLR 2024
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
ICLR 2024
Learning to Correct for QA Reasoning with Black-box LLMs
EMNLP 2024
Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract)
AAAI 2024
Online Adaptation of Language Models with a Memory of Amortized Contexts
NeurIPS 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
NeurIPS 2024
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
ICLR 2024
Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information
AAAI 2023
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
ACL 2023
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning
ICML 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
EMNLP 2023
Patch-Level Representation Learning for Self-Supervised Vision Transformers
CVPR 2022
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation
ICLR 2022
Time Is MattEr: Temporal Self-supervision for Video Transformers
ICML 2022
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different
ICLR 2022
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
NeurIPS 2020
M2m: Imbalanced Classification via Major-to-Minor Translation
CVPR 2020