Yukyung Lee
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  • Projects
  • Experience
  • News
    • πŸ’‘ Check out our math reasoning paper "Cliff Token"
    • πŸ’‘ Check out our implicit CoT paper "CIRF"
    • πŸŽ‰ "Can Structural Cues Save LLMs?" has been accepted to KDD 2026!
    • πŸŽ‰ RExBench has been accepted to ACL 2026!
    • πŸŽ‰ Co-organizing the "AI Modeling for Disappearing Knowledge" workshop at IJCAI 2026.
    • πŸ‘©πŸ»β€πŸ« Invited talks at SNU (Jan 2nd), HYU (Jan 8th), and KU (Jan 9th)
    • πŸ‘©πŸ»β€πŸ« Gave an invited talk at Stanford/UW (RExBench πŸ¦–) with Nicholas
    • πŸŽ‰ CheckEval has been accepted to EMNLP 2025!
    • πŸ‘©πŸ»β€πŸ« Gave an invitied talk at Korea University (RExBench πŸ¦–)
    • πŸ’‘ Check out our RExBench paper
    • πŸŽ‰ WritingPath has been accepted to NAACL 2025 (Industry Track)!
    • πŸŽ‰ Paper accepted to NeurIPS 2024
    • πŸ‘©πŸ»β€πŸ« Gave an invitied talk at Korea University
    • πŸ“£ I have started my Postdoc at Boston University @ tinlab
    • πŸ‘©πŸ»β€πŸ« Gave an invited talk at SK Telecom
  • Posts
    • 박사과정을 λ§ˆλ¬΄λ¦¬ν•˜λ©°
  • Publications
    • Cliff Tokens: Identifying Single-Token Failure Triggers in LLM Mathematical Reasoning
    • LLMs Learn Better In-Context from Rules than from Examples
    • PGMem: Tightly Coupled Persona–Memory Graph for Lifelong Personalized Agents
    • CIRF: Tokenizing Chain-of-Thoughts into Reusable Functional Units for Efficient Latent Reasoning in Large Language Models
    • Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams
    • RExBench: Can coding agents autonomously implement AI research extensions?
    • AI Writers Have a Consistent Stylometric Footprint, but AI Editors Do Not
    • CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklists
    • Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models
    • A Gradient Accumulation Method for Dense Retriever under Memory Constraint
    • DSTEA: Improving Dialogue State Tracking via Entity Adaptive Pre-training
    • RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level information
    • LAnoBERT: System log anomaly detection based on BERT masked language model
    • Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews
    • Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances
    • Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking
    • Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT
    • Drone Surveillance System Considering Dynamic POIs
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πŸŽ‰ "Can Structural Cues Save LLMs?" has been accepted to KDD 2026!

May 15, 2026 Β· 1 min read

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams. Work with Yebin Lim, Woojun Jung, Wonjun Choi and Susik Yoon 🐯

Last updated on Jun 25, 2026
Yukyung Lee
Authors
Yukyung Lee
Postdoctoral Associate
← πŸ’‘ Check out our implicit CoT paper "CIRF" May 30, 2026
πŸŽ‰ RExBench has been accepted to ACL 2026! Apr 6, 2026 →

Β© 2026 Yukyung Lee. This work is licensed under CC BY NC ND 4.0

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