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Shuo-Fei Qiao

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#artificial intelligence Preprint Sep 2026

EM^2Mem: Event-Centric Multimodal Memory for Large Language Models

EM^2Mem is proposed, an event-centric multimodal memory framework that binds heterogeneous evidence to event anchors during memory construction, enabling compact evidence readout over grounded multimodal events rather than modality-specific fragments.

Yijun Chen, Yangfan Zheng, Yanyang Li et al. · 0 citations
#artificial intelligence Preprint May 2026

SciAtlas: A Computable Atlas of Science for Knowledge-Grounded AI Research

SciAtlas is presented, a shared, machine-actionable cross-disciplinary scholarly knowledge infrastructure that integrates evidential, conceptual, disciplinary, expertise, and normative layers under a shared schema and achieves a unified neuro-symbolic retrieval mechanism that grounds heterogeneous research objects, pro...

Shuofei Qiao, Yun-Xiang Wei, Bu-Sheng Zhang et al. · 1 citation

LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis

LongDS is introduced, a benchmark for long-horizon, multi-turn data analysis where agents must maintain, update, restore, and compose evolving analytical states, suggesting that the key bottleneck is maintaining a correct analytical state rather than increasing interaction budget.

Kewei Xu, Xiaobe Lu, Shuofei Qiao et al. · 1 citation

Aligning Agentic World Models via Knowledgeable Experience Learning

WorldMind is introduced, a framework that autonomously constructs a symbolic World Knowledge Repository by synthesizing environmental feedback that unifies Process Experience to enforce physical feasibility via prediction errors and Goal Experience to guide task optimality through successful trajectories.

Baochang Ren, Yunzhi Yao, Rui Sun et al. · 3 citations · ⚡1
#artificial intelligence Preprint Sep 2025

OceanGym: A Benchmark Environment for Underwater Embodied Agents

OceanGym is introduced, the first comprehensive benchmark for ocean underwater embodied agents, designed to advance AI in one of the most demanding real-world environments, and reveals substantial gaps between state-of-the-art MLLM-driven agents and human experts.

Yida Xue, Mingjun Mao, Xiangyuan Ru et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence

Mechanist is an agentic system that uses AI as a scientific instrument for the autonomous discovery of mechanisms underlying AI intelligence, and develops a mechanism theory of belief, revealing how models represent world knowledge, form beliefs, infer the beliefs of others, and how these mechanisms emerge during pretr...

Mengru Wang, Jun-Feng Fang, Shuo-Fei Qiao et al. · 1 citation

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