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Hwanjun Song
Institution:
Korea Advanced Institute of Science and Technology
Observed institution:
Korea Advanced Institute of Science and Technology
OpenAlex ID:
A5139782274
Learning to Summarize from LLM-generated Feedback
2025
·
Hwanjun Song
, Taewon Yun
, et al.
·
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
·
8
PDF
QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval
2026
·
Joeun Kim
, Seunghyouk Yoon
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
1
PDF
Distilling LLM Reasoning into Dense Encoders: Bridging the Accuracy-Efficiency Gap in Recommendation
2026
·
Donghee Han
, Daeyoung Roh
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding
2026
·
Taewon Yun
, Jisu Shin
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines
2026
·
Hwanjun Song
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Show Me How You Cite: Citation Fidelity, Usage, and Topology in the Evidence Behavior of AI Scientific Writing
2026
·
Jihwan Oh
, Gyeonghun Sun
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Illuminating the Path: Reachability-Aware Supervision Curation for LLM-Based Recommendation
2026
·
Donghee Han
, Jiwon Jeong
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
TAC-CoT: Tool-Empowered Implicit Chain-of-Thought via Interleaving Explicit Tokens
2026
·
Juseon Do
, Sangmin Bae
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts
2025
·
Yuho Lee
, Jiaqi Deng
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
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Works count:
9
Citation count:
9
H-index:
1
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