5 papers
GeoWorld-VLM: Geometry from World Models for Vision-Language Models
Renjie Gu, Kaichen Zhou, Yan Luo +1
Modern Vision-Language Models (VLMs) achieve strong semantic recognition, yet remain brittle on elementary spatial relations such as left of, on, behind, and between. One cause of…
Bridging the Detection-to-Abstention Gap in Reasoning Models under Insufficient Information
Renjie Gu, Jiaxu Li, Yihao Wang +8
We highlight a failure mode of large reasoning models on questions with insufficient information: models may recognize that a problem is under-specified, yet still continue reasoni…
MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare
Yihao Wang, Haoran Xu, Renjie Gu +10
The large-scale deployment of personalized healthcare agents demands memory mechanisms that are exceptionally precise, safe, and capable of long-term clinical tracking. However, ex…
Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning
Renjie Gu, Jiazhen Du, Yihua Zhang +1
Unlearning in large language models (LLMs) aims to remove harmful training data while preserving overall utility. However, we find that existing methods often hallucinate, generate…
Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning
Boheng Li, Renjie Gu, Junjie Wang +5
Text-to-image (T2I) diffusion models have achieved impressive image generation quality and are increasingly fine-tuned for personalized applications. However, these models often in…