collaborators

15 papers

cs.AI2026

The Verification Horizon: No Silver Bullet for Coding Agent Rewards

Binghai Wang, Chenlong Zhang, Dayiheng Liu +10

A classical intuition holds that verifying a solution is easier than producing one. For today's coding agents, this intuition is being inverted: as foundation models develop strong…

cs.CV2026

Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification

Wujian Peng, Lingchen Meng, Yuxuan Cai +7

Unified Multimodal Modeling aims to integrate visual understanding and generation within a single system. However, existing approaches typically rely on two disparate visual tokeni…

cs.CV2026

HomeWorld: A Unified Floorplan-to-Furnished Framework for Generating Controllable, Densely Interactive Whole-Home Scenes

Wenbo Li, Xiaoliang Ju, Zipeng Qin +2

Indoor scene generation is crucial for robot simulation and modern interior design. However, complex layouts together with scarce 3D scene data make learning-based generation chall…

cs.CV2026

GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning

Chengqi Duan, Rongyao Fang, Yuqing Wang +5

Visual generation models have made remarkable progress in creating realistic images from text prompts, yet struggle with complex prompts that specify multiple objects with precise…

cs.CV2025

CrossLMM: Decoupling Long Video Sequences from LMMs via Dual Cross-Attention Mechanisms

Shilin Yan, Jiaming Han, Joey Tsai +5

The advent of Large Multimodal Models (LMMs) has significantly enhanced Large Language Models (LLMs) to process and interpret diverse data modalities (e.g., image and video). Howev…

cs.CV2025

DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation

Dongzhi Jiang, Renrui Zhang, Haodong Li +9

Recent unified multimodal large language models (MLLMs) have shown impressive capabilities, incorporating chain-of-thought (CoT) reasoning for enhanced text-to-image generation. Ho…