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ORCIDYongchan Chun
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2020 – today
- 2026
[i5]Jeongho Yoon, Chanhee Park, Yongchan Chun, Hyeonseok Moon, Heuiseok Lim:
Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation. CoRR abs/2604.06831 (2026)- [i4]Yongchan Chun, Chanhee Park, Jeongho Yoon, Jaehyung Seo, Heuiseok Lim:
Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation. CoRR abs/2604.08627 (2026) - 2025
- [c3]Yongchan Chun, Minhyuk Kim, Dongjun Kim, Chanjun Park, Heuiseok Lim:
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval. ACL (Findings) 2025: 9916-9926 - [c2]Jaehyung Seo, Dahyun Jung, Jaewook Lee, Yongchan Chun, Dongjun Kim, Hwijung Ryu, Donghoon Shin, Heuiseok Lim:
KoLEG: On-the-Fly Korean Legal Knowledge Editing with Continuous Retrieval. EMNLP (Findings) 2025: 9191-9217 - [c1]Dongjun Kim, Gyuho Shim, Yongchan Chun, Minhyuk Kim, Chanjun Park, Heuiseok Lim:
Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks. EMNLP 2025: 15635-15650 - [i3]Yongchan Chun, Minhyuk Kim, Dongjun Kim, Chanjun Park
, Heuiseok Lim:
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval. CoRR abs/2506.21222 (2025) - [i2]Dongjun Kim, Gyuho Shim, Yongchan Chun, Minhyuk Kim, Chanjun Park, Heuiseok Lim:
Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks. CoRR abs/2510.01232 (2025) - 2024
- [i1]Dongjun Kim, Minhyuk Kim, Yongchan Chun, Chanjun Park, Heuiseok Lim:
Exploring Coding Spot: Understanding Parametric Contributions to LLM Coding Performance. CoRR abs/2412.07113 (2024)
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