Junyeob Kim
7 papers · 2022–2026 · 4 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 ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(29)
Top co-authors
Research topics
Machine Learning
(6)
Natural Language Processing
(6)
Learning Types · Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Learning Types · Deep Learning
(5)
Core AI
(4)
Applications
(3)
Learning Paradigms
(2)
Models
(2)
Resources & Methods
(2)
Application Areas
(1)
Generation
(1)
Optimization & Theory
(1)
Keywords
in-context learning
(2)
large language model
(2)
out-of-distribution detection
(2)
language model
(2)
natural language processing
(1)
model robustness
(1)
domain generalization
(1)
language model alignment
(1)
feature extraction
(1)
out-of-distribution generalization
(1)
parameter-efficient transfer learning
(1)
distribution shift
(1)
prompt engineering
(1)
retrieval-augmented generation
(1)
distributional shift
(1)
domain adaptation
(1)
linear probing
(1)
confidence estimation
(1)
out-of-distribution robustness
(1)
few-shot learning
(1)
Papers
Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models
EACL 2026
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
EMNLP 2024
Aligning Language Models to Explicitly Handle Ambiguity
EMNLP 2024
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
ACL 2023
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners
AAAI 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
EMNLP 2023
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
EMNLP 2022