collaborators

13 papers

cs.CV2026

GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization

Pengyue Jia, Seongheon Park, Song Gao +2

Worldwide image geolocalization-the task of predicting GPS coordinates from images taken anywhere on Earth-poses a fundamental challenge due to the vast diversity in visual content…

cs.AI2026

ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild

Bufang Yang, Lilin Xu, Liekang Zeng +8

Recent studies have begun to explore proactive large language model (LLM) agents that provide unobtrusive assistance by automatically leveraging contextual information, such as in…

cs.CL2026

SensorPersona: An LLM-Empowered System for Continual Persona Extraction from Longitudinal Mobile Sensor Streams

Bufang Yang, Lilin Xu, Yixuan Li +3

Personalization is essential for Large Language Model (LLM)-based agents to adapt to users' preferences and improve response quality and task performance. However, most existing ap…

cs.LG2026

Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding

Lin Long, Changdae Oh, Seongheon Park +1

Large vision-language models (LVLMs) achieve strong performance on multimodal tasks, yet they often default to their language prior (LP) -- memorized textual patterns from pre-trai…

cs.CL2026

LH-Deception: Simulating and Understanding LLM Deceptive Behaviors in Long-Horizon Interactions

Yang Xu, Xuanming Zhang, Samuel Yeh +4

Deception is a pervasive feature of human communication and an emerging concern in large language models (LLMs). While recent studies document instances of LLM deception, most eval…

cs.CL2026

LUMINA: Detecting Hallucinations in RAG System with Context-Knowledge Signals

Samuel Yeh, Sharon Li, Tanwi Mallick

Retrieval-Augmented Generation (RAG) aims to mitigate hallucinations in large language models (LLMs) by grounding responses in retrieved documents. Yet, RAG-based LLMs still halluc…