most citedOn Path to Multimodal Historical Reasoning: HistBench and HistAgent

1 citations · 3 across the 11 of their papers we have counts for

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cs.AI2026

Avenir-Web: Human-Experience-Imitating Multimodal Web Agents with Mixture of Grounding Experts

Aiden Yiliu Li, Xinyue Hao, Shilong Liu +1

Despite advances in multimodal large language models, autonomous web agents still struggle to reliably execute long-horizon tasks on complex and dynamic web interfaces. Existing ag…

cs.AI2026

FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains

Jiashuo Liu, Siyuan Chen, Zaiyuan Wang +38

Building upon FutureX, which established a live benchmark for general-purpose future prediction, this report introduces FutureX-Pro, including FutureX-Finance, FutureX-Retail, Futu…

cs.AI2026

CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial Observations

Huan-ang Gao, Zikang Zhang, Tianwei Luo +9

Large Language Model (LLM) agents, while proficient in the digital realm, face a significant gap in physical-world deployment due to the challenge of forming and maintaining a robu…

cs.AI2025

Alita-G: Self-Evolving Generative Agent for Agent Generation

Jiahao Qiu, Xuan Qi, Hongru Wang +9

Large language models (LLMs) have been shown to perform better when scaffolded into agents with memory, tools, and feedback. Beyond this, self-evolving agents have emerged, but cur…

cs.AI20251 cited

FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction

Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen +28

Future prediction is a complex task for LLM agents, requiring a high level of analytical thinking, information gathering, contextual understanding, and decision-making under uncert…

cs.AI2025

Physics Supernova: AI Agent Matches Elite Gold Medalists at IPhO 2025

Jiahao Qiu, Jingzhe Shi, Xinzhe Juan +6

Physics provides fundamental laws that describe and predict the natural world. AI systems aspiring toward more general, real-world intelligence must therefore demonstrate strong ph…