5 papers
Edit, Don't Imitate: Minimal-Edit On-Policy Distillation for Multimodal Reasoning
Wen Ye, Ailin Deng, Zirui Wang +8
Visual mathematical reasoning can fail before reasoning begins: when a vision-language model (VLM) misreads a diagram, subsequent reasoning proceeds from false premises. This perce…
From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning
Han Zhang, Yilin Zhao, Zaid Pervaiz Bhat +5
Detecting a traffic anomaly does not establish whether a video-language model can explain what happened, localize it in time, or identify its causes. We introduce TAR (Traffic Anom…
Reinforcing Dual-Path Reasoning in Spatial Vision Language Models
Yatai Ji, An-Chieh Cheng, Yang Fu +13
Spatial VLMs have made substantial progress in geometric perception, yet complex spatial reasoning requiring multi-step inference over depth, distance, and scene relations remains…
MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks
Han Zhang, Wanting Jiang, Tomasz Kornuta +2
Training Vision Language Models (VLMs) for video event reasoning requires high-quality structured annotations capturing not only what happened, but when, where, why, and with what…
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
Seung Hyun Lee, Yinxiao Li, Junjie Ke +11
Recent works have demonstrated that using reinforcement learning (RL) with multiple quality rewards can improve the quality of generated images in text-to-image (T2I) generation. H…