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J. Li

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#artificial intelligence Preprint Oct 2026

Memory Type Varies: Empowering LLM Agents for Long-Term Memory with Diverse Strategies

This work proposes a novel memory framework, named MemoType, which can adaptively recognize each memory and query type with the learned router model, and proposes a novel retrieval framework, named MemoType, which can adaptively recognize each memory and query type with the learned router model.

Yi Wen, De-Rong Xu, Peng-Yue Jia et al. · 0 citations
Open access Sep 2026

Differentiating nonfluent/agrammatic and logopenic primary progressive aphasia in Catalan-Spanish bilinguals by applying multilingual multimodal machine learning to connected speech

Taking advantage of recent advances in multilingual multimodal machine learning, Catalan-Spanish bilingual individuals are accurately differentiated with nfvPPA and lvPPA using a largely automated, time-efficient (1-2 minutes), and ecologically valid connected-speech-based approach.

L. Pugalenthi, Andrew P. Collins, Nolla Colomer et al. · 0 citations
Preprint Aug 2026

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives

PlayWorld is introduced, a benchmark providing 171 scenarios, each with a specified objective, to assess models along four core dimensions: geometry consistency, interaction fidelity, out-of-sight evolution, and insight evolution, and basic ability metrics for video quality and controllability.

Kai Ding, Xi Chen, Ming-Hong Cai et al. · 3 citations
Review Jul 2026

HyMobileAgent: Data-Environment Co-Scaling for Efficient GUI Agents

This report presents HyMobileAgent, a mobile GUI agent built on Hy3.0-VL-A3B, a vision-native foundation model featuring native any-resolution input, an A3B-scale deployment budget, and a 32K context window to model extended interaction histories.

H. Team, Hua-Wen Shen, Zheng-Yang Tang et al. · 2 citations · ⚡1

What's in a Name? Morphological Shortcuts by LLMs in Pharmacology

This work introduces a framework for identifying whether a model's drug semantics are driven mainly by the affix, the stem, or the drug name as a whole, and reveals that models often induce drug meaning primarily through affix cues, yet rarely explicitly indicate this reliance, and sometimes incorrectly conflate proper...

Kai-Jie Mo, Thomas Yang, Chantal Shaib et al. · 0 citations

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