most citedA Controlled Study on Long Context Extension and Generalization in LLMs

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cs.CV2025

CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Reward

Zhiqiang Wang, Pengbin Feng, Yanbin Lin +4

We propose Fuzzy Group Relative Policy Reward (FGRPR), a novel framework that integrates Group Relative Policy Optimization (GRPO) with a fuzzy reward function to enhance learning…

cs.CV2025

TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model

Cheng Yang, Yang Sui, Jinqi Xiao +8

Vision-Language Models (VLMs) demand substantial computational resources during inference, largely due to the extensive visual input tokens for representing visual information. Pre…