878 citations
- Yonsei UniversityKR11 papers
- Korea Institute for Advanced StudyKR7 papers
- Pohang University of Science and TechnologyKR7 papers
- Universidad de GranadaES7 papers
- Chungbuk National UniversityKR5 papers
- Kyonggi UniversityKR5 papers
- Seoul National UniversityKR5 papers
- Hanyang UniversityKR4 papers
- Korea UniversityKR4 papers
- Sejong UniversityKR4 papers
- Sogang UniversityKR4 papers
- University College LondonGB4 papers
146 papers
Vague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World Detection
Ibrohimjon Muminov, Jihie Kim
Real-world detectors must often interpret functional or ambiguous prompts, yet conventional models such as YOLO remain restricted to fixed class lists. Even open-vocabulary models…
A Failure-Mode Benchmark for Polymorphic Sybil Poisoning in RAG
Donghyun Lee, Juntae Kim
We release a benchmark and failure-mode-aware evaluation framework for grounded QA under coordinated retrieval poisoning. The framework partitions reader outputs into four mutually…
PEEM: Prompt Engineering Evaluation Metrics for Interpretable Joint Evaluation of Prompts and Responses
Minki Hong, Eunsoo Lee, Sohyun Park +1
Prompt design is a primary control interface for large language models (LLMs), yet standard evaluations largely reduce performance to answer correctness, obscuring why a prompt suc…
Phase transition for a black hole with matter fields and the relation with the Lyapunov exponent
Pakhlavon Yovkochev, Bobomurat J. Ahmedov, Bum-Hoon Lee +2
We construct static black hole solutions coexisting with anisotropic matter in asymptotically (anti-)de Sitter spacetime and investigate how the matter field modifies their thermod…
ThermoAct:Thermal-Aware Vision-Language-Action Models for Robotic Perception and Decision-Making
Young-Chae Son, Dae-Kwan Ko, Yoon-Ji Choi +1
In recent human-robot collaboration environments, there is a growing focus on integrating diverse sensor data beyond visual information to enable safer and more intelligent task ex…
Pixel2Catch: Multi-Agent Sim-to-Real Transfer for Agile Manipulation with a Single RGB Camera
Seongyong Kim, Junhyeon Cho, Kang-Won Lee +1
To catch a thrown object, a robot must be able to perceive the object's motion and generate control actions in a timely manner. Rather than explicitly estimating the object's 3D po…