Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Junyeob Kim
Observed name:
Kim, Junyeob
Institution:
Seoul National University
Observed institution:
Seoul National University
OpenAlex ID:
A5086801435
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
2022
·
Kang Min Yoo
, Junyeob Kim
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
41
PDF
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator
2022
·
Kim, Hyuhng Joon
, Cho, Hyunsoo
, et al.
·
arXiv (Cornell University)
·
12
PDF
Aligning Language Models to Explicitly Handle Ambiguity
2024
·
Hyuhng Joon Kim
, Youna Kim
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
10
PDF
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
2024
·
Youna Kim
, Hyuhng Joon Kim
, et al.
·
6
PDF
Aligning Language Models to Explicitly Handle Ambiguity
2024
·
Kim, Hyuhng Joon
, Kim, Youna
, et al.
·
arXiv (Cornell University)
·
3
PDF
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection
2024
·
Park, Choonghyun
, Kim, Hyuhng Joon
, et al.
·
arXiv (Cornell University)
·
2
PDF
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
2022
·
Yoo, Kang Min
, Kim, Junyeob
, et al.
·
arXiv (Cornell University)
·
2
PDF
Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models
2026
·
Association for Computational Linguistics 2026
, Kim, Taeuk
, et al.
·
Underline Science Inc.
Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models
2026
·
Junyeob Kim
, Sang-goo Lee
, et al.
·
Findings of the Association for Computational Linguistics: EACL
PDF
Show more works
View as search
Works count:
9
Citation count:
76
H-index:
4
I10-index:
3
Year
Topic
Type