CFGPatch combines curved fractal geometry with modality-specific spiral textures to create adversarial patches that fool VIS-IR VLMs and transfer across classification, captioning, and VQA tasks.
Openflamingo: An open-source framework for training large autoregressive vision-language models
3 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
LogicVista is a new benchmark dataset with 448 visual logic questions that evaluates multimodal LLMs on five reasoning tasks covering nine capabilities.
ReVPT uses GRPO reinforcement learning with a cold-start SFT phase to make Qwen2.5-VL models call visual tools, improving perception benchmarks over SFT and text-only RL baselines.
citing papers explorer
-
Exposing Vulnerabilities in Visible-Infrared VLMs: A Unified Geometric Adversarial Framework with Cross-Task Transferability
CFGPatch combines curved fractal geometry with modality-specific spiral textures to create adversarial patches that fool VIS-IR VLMs and transfer across classification, captioning, and VQA tasks.
-
LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts
LogicVista is a new benchmark dataset with 448 visual logic questions that evaluates multimodal LLMs on five reasoning tasks covering nine capabilities.
-
Reinforced Visual Perception with Tools
ReVPT uses GRPO reinforcement learning with a cold-start SFT phase to make Qwen2.5-VL models call visual tools, improving perception benchmarks over SFT and text-only RL baselines.