From the 2 of 19 linked papers with an AI index.
19 papers
WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing
Hao Liang, Meiyi Qiang, Sizhe Qiu +2
The paper introduces WorkSurface-Bench, a benchmark that tests enterprise agents' ability to select the correct knowledge source (documents, tables, or graphs) before answering que…
OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios
Chengyu Shen, Yujie Fu, Gangtao Xin +13
Large language models are increasingly evolving from text generators into general agents capable of understanding user requests, invoking external tools, and completing complex tas…
GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs
Hengyi Feng, Zeang Sheng, Meiyi Qiang +2
Research on Text-Attributed Graphs (TAGs) has gained significant attention recently due to its broad applications across various real-world data scenarios, such as citation network…
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models
DataFlow Team, Bohan Zeng, Daili Hua +39
World models have garnered significant attention as a promising research direction in artificial intelligence, yet a clear and unified definition remains lacking. In this paper, we…
DataPrep-Bench: Benchmarking LLMs as Training Data Preparators
Hao Liang, Qifeng Cai, Yibo Lin +11
The quality of training data fundamentally determines the capabilities of large language models (LLMs), yet no unified benchmark exists to measure how well LLMs, agents, and data-c…
FLARE: Full-Modality Long-Video Audiovisual Retrieval Benchmark with User-Simulated Queries
Qijie You, Hao Liang, Mingrui Chen +4
As video becomes increasingly central to information dissemination and multimodal large language models (MLLMs) continue to advance, evaluating video retrieval has become increasin…