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20232025
most citedRetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering

1 citations · 1 across the 13 of their papers we have counts for

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cs.CL2025

Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing

Baode Wang, Biao Wu, Weizhen Li +8

Document parsing from scanned images into structured formats remains a significant challenge due to its complexly intertwined elements such as text paragraphs, figures, formulas, a…

cs.CV2025

UniVid: The Open-Source Unified Video Model

Jiabin Luo, Junhui Lin, Zeyu Zhang +4

Unified video modeling that combines generation and understanding capabilities is increasingly important but faces two key challenges: maintaining semantic faithfulness during flow…

cs.RO2025

Automotive-ENV: Benchmarking Multimodal Models in Automotive Cockpit Environments

Junfeng Yan, Biao Wu, Meng Fang +1

Multimodal models have demonstrated strong capabilities in web, desktop, and mobile GUI environments, but their performance in automotive cockpit systems remains largely unexplored…

cs.CV2025

VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery

Jinchao Ge, Tengfei Cheng, Biao Wu +7

Understanding cultural heritage artifacts such as ancient Greek pottery requires expert-level reasoning that remains challenging for current MLLMs due to limited domain-specific da…

cs.IR2025

WebArxiv: A Reproducible Benchmark for Evaluating Multimodal Web Agents on arXiv Tasks

Zihao Sun, Ling Chen, Zijing Shi

Foundation models now enable autonomous agents to interact with real-world websites, but existing benchmarks emphasize general-purpose browsing, underrepresent research-oriented en…

cs.CV2025

PresentAgent: Multimodal Agent for Presentation Video Generation

Jingwei Shi, Zeyu Zhang, Biao Wu +4

We present PresentAgent, a multimodal agent that transforms long-form documents into narrated presentation videos. While existing approaches are limited to generating static slides…

cs.CV2025

Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing

Baode Wang, Biao Wu, Weizhen Li +8

Automated parsing of scanned documents into richly structured, machine-readable formats remains a critical bottleneck in Document AI, as traditional multi-stage pipelines suffer fr…