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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.CV2026

Let RGB Be the Language of Vision

Timing Yang, Jinrui Yang, Xinlong Li +11

The paper proposes a unified vision framework that encodes all visual signals—including images, masks, and depth maps—as RGB images, turning diverse tasks into a common RGB-to-RGB…

cs.AI2026

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models

Junqi Liu, Selena Song, Yuhan Wang +12

Autonomous agents are increasingly expected to support end-to-end medical-AI research workflows, moving beyond isolated prediction tasks or short-form clinical question answering.…

cs.LG2026

G2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs

Yuhan Wang, Yibo Ding, Yutong Ye +4

LLM-as-Aligner has emerged as a prevalent pre-training paradigm for Text-Attributed Graphs(TAGS), aligning graph and text modalities into a shared embedding space via CLIP-style co…

cs.CV2026

Seeing Before Agreeing: Aligning Multi-Agent Consensus with Visual Evidence

Yuhan Wang, Shuochen Chang, Yalin Feng +8

Vision-language models (VLMs) have achieved strong performance on visual question answering (VQA). To mitigate individual hallucinations and blind spots, aggregating diverse perspe…

cs.CL2025

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data

Zijun Wang, Haoqin Tu, Yuhan Wang +6

This paper introduces STAR-1, a high-quality, just-1k-scale safety dataset specifically designed for large reasoning models (LRMs) like DeepSeek-R1. Built on three core principles…

cs.CV2025

GPT-IMAGE-EDIT-1.5M: A Million-Scale, GPT-Generated Image Dataset

Yuhan Wang, Siwei Yang, Bingchen Zhao +4

Recent advancements in large multimodal models like GPT-4o have set a new standard for high-fidelity, instruction-guided image editing. However, the proprietary nature of these mod…