2 papers
cs.CV2026
SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology
Wan Siti Halimatul Munirah Wan Ahmad, Faris Syahmi Samidi, Mohammad Badal Ahmmed +3
Characterising the TME from routine H&E-stained histology images requires simultaneous cell segmentation, biological feature extraction, and interpretable clinical reporting. We pr…
cs.LG2026
From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity
Yee Zhing Liew, Andrew Huey Ping Tan, Anwar P. P. Abdul Majeed
Traditional hallucination detection fails on "Stubborn Hallucinations" - errors where LLMs are confidently wrong. We propose a geometric solution: Embedding-Perturbed Gradient Sens…