Sangyeop Kim

Orcid: 0000-0002-7584-1061

Affiliations:
  • Seoul National University, South Korea


According to our database1, Sangyeop Kim authored at least 12 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Overthinking Loops in Agents: A Structural Risk via MCP Tools.
CoRR, February, 2026

Human-guided collective LLM intelligence for strategic planning via two-stage information retrieval.
Inf. Process. Manag., 2026

Fusing sequential recommender and ad-hoc planner for multi-faceted preference understanding in conversational recommendation.
Inf. Fusion, 2026

2025
Fashion Image Retrieval With Vision-Language Model Guided Fine-Grained Textual Attributes and Cross-Domain Contrastive Optimization.
IEEE Access, 2025

LLM-guided Plan and Retrieval: A Strategic Alignment for Interpretable User Satisfaction Estimation in Dialogue.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

HEISIR: Hierarchical Expansion of Inverted Semantic Indexing for Training-free Retrieval of Conversational Data using LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Finding Diamonds in Conversation Haystacks: A Benchmark for Conversational Data Retrieval.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Upcycling Candidate Tokens of Large Language Models for Query Expansion.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders.
CoRR, 2024


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