Posters

Medical Image Spatial Grounding with Semantic Sampling

MICCAI 2026• Andrew Seohwan Yu†, Mohsen Hariri†, Kunio Nakamura, Mingrui Yang, Xiaojuan Li, Vipin Chaudhary †Equal contribution

MICCAI 2026 poster: MIS-Ground tests 3D anatomical spatial grounding across CT, MRI, views, coordinates, prompts, and terminology. MIS-SemSam changes the token-selection rule and raises Qwen3-VL-32B accuracy from 53.4% to 66.5%.

Preview of Medical Image Spatial Grounding with Semantic Sampling

70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float

NeurIPS 2025• Tianyi Zhang, Mohsen Hariri, Shaochen Zhong, Vipin Chaudhary, Yang Sui, Xia Hu, Anshumali Shrivastava

NeurIPS 2025 poster on DFloat11: a lossless compression framework that shrinks LLMs and diffusion transformers to ~70% of their size with bit-for-bit identical outputs, plus a GPU kernel that decompresses on the fly.

Preview of 70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float