activity
20242026
collaborators
Showing 2025Show all

8 papers · 1 filter

cs.AI2025

Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization

Yuchen Shi, Yuzheng Cai, Siqi Cai +15

Existing Large Language Model (LLM) agent frameworks face two significant challenges: high configuration costs and static capabilities. Building a high-quality agent often requires…

cs.CV2025

ChineseVideoBench: Benchmarking Multi-modal Large Models for Chinese Video Question Answering

Yuxiang Nie, Han Wang, Yongjie Ye +15

This paper introduces ChineseVideoBench, a pioneering benchmark specifically designed for evaluating Multimodal Large Language Models (MLLMs) in Chinese Video Question Answering. T…

cs.CV2025

Bag-of-Word-Groups (BoWG): A Robust and Efficient Loop Closure Detection Method Under Perceptual Aliasing

Xiang Fei, Tina Tian, Howie Choset +1

Loop closure is critical in Simultaneous Localization and Mapping (SLAM) systems to reduce accumulative drift and ensure global mapping consistency. However, conventional methods s…

cs.CL2025

Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning

Haiyang Yu, Yuchuan Wu, Fan Shi +18

Chinese ancient documents, invaluable carriers of millennia of Chinese history and culture, hold rich knowledge across diverse fields but face challenges in digitization and unders…

cs.CL2025

Post-Completion Learning for Language Models

Xiang Fei, Siqi Wang, Shu Wei +5

Current language model training paradigms typically terminate learning upon reaching the end-of-sequence (<eos>) token, overlooking the potential learning opportunities in the post…

cs.CL2025

Advancing Sequential Numerical Prediction in Autoregressive Models

Xiang Fei, Jinghui Lu, Qi Sun +6

Autoregressive models have become the de facto choice for sequence generation tasks, but standard approaches treat digits as independent tokens and apply cross-entropy loss, overlo…

cs.CV2025

WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?

An-Lan Wang, Jingqun Tang, Liao Lei +10

The rapid advancements in Multimodal Large Language Models (MLLMs) have significantly enhanced capabilities in Document Understanding. However, prevailing benchmarks like DocVQA an…

cs.CV2025

Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting

Hao Feng, Shu Wei, Xiang Fei +10

Document image parsing is challenging due to its complexly intertwined elements such as text paragraphs, figures, formulas, and tables. Current approaches either assemble specializ…