9 papers
NavBind: Diagnosing Instruction-Action Binding at Route Forks in Navigation VLAs
Josh Qixuan Sun, Xiaoying Xing, Yurun Chen +3
Vision-language-action (VLA) navigation models translate visual observations and instructions into actions. Navigation success assesses whether an agent reaches the goal. However,…
Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work
Wenhui Chen, Shiwen Cheng, Hao Dong +39
Co-work agents execute complex workflows that combine information gathering, tool use, coding, and file manipulation across many model invocations. Because cost and latency accumul…
Business Arena: Benchmarking LLM Agents in a Realistic Marketplace
Yijun Pan, Yukun Lian, Kunyu Shi +5
Running a business is a challenging form of intelligent work. Operators must infer opportunities from partial signals, commit capital under uncertainty, adapt to delayed outcomes i…
Hybrid Reward Normalization for Process-supervised Non-verifiable Agentic Tasks
Peiran Xu, Zhuohao Li, Xiaoying Xing +3
Large Language Models (LLMs) increasingly rely on external tools such as search engines to solve complex agentic tasks that require reasoning and external knowledge retrieval. Rece…
View Invariant Learning for Vision-Language Navigation in Continuous Environments
Josh Qixuan Sun, Huaiyuan Weng, Xiaoying Xing +2
Vision-Language Navigation in Continuous Environments (VLNCE), where an agent follows instructions and moves freely to reach a destination, is a key research problem in embodied AI…
SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing
Ming Li, Xin Gu, Fan Chen +4
Due to the challenges of manually collecting accurate editing data, existing datasets are typically constructed using various automated methods, leading to noisy supervision signal…
Where do Large Vision-Language Models Look at when Answering Questions?
Xiaoying Xing, Chia-Wen Kuo, Li Fuxin +6
Large Vision-Language Models (LVLMs) have shown promising performance in vision-language understanding and reasoning tasks. However, their visual understanding behaviors remain und…
Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation
Xiaoying Xing, Avinab Saha, Junfeng He +9
Text-to-image (T2I) generation has made significant advances in recent years, but challenges still remain in the generation of perceptual artifacts, misalignment with complex promp…
Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations
Lei Fan, Jianxiong Zhou, Xiaoying Xing +1
Active recognition, which allows intelligent agents to explore observations for better recognition performance, serves as a prerequisite for various embodied AI tasks, such as gras…