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20242026
most citedBrain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery

2 citations · 6 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies

Zheng Lu, Zirong Song, Haoran Liao +11

Vision-Language-Action (VLA) policies leverage pretrained vision-language models (VLMs) to guide action generation for robot control. VLMs provide hierarchical visual-semantic repr…

cs.AI2026

Predictive Memory Localization: Forecasting Selective Intervention Paths from Internal Signals

Jinhao Jing, Tian Zeyu, Lucas Qingyang Fang +4

Activation steering turns localized representations into control directions, but localization alone does not reveal whether a direction has a selective operating regime. We introdu…

cs.AI2026

MemPrism: Task-Conditioned Relational Memory Views for Long-Horizon Agents

Zhisheng Chen, Bingfan Zeng, Bangde Cao +8

Long-horizon agents performing multi-step Web tasks must reuse earlier page observations and interactions to support subsequent actions. However, preserving relevant history does n…

cs.AI2026

MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents

Zhengwei Xie, Zhisheng Chen, Ziyan Weng +7

Long-horizon embodied intelligence requires agents to improve through interaction, not merely to execute plans generated from static goals. A central challenge is therefore to tran…

cs.AI2026

PolarMem: A Training-Free Polarized Latent Graph Memory for Verifiable Vision-Language Models

Zhisheng Chen, Tingyu Wu, Zijie Zhou +7

Memory is not merely a storage mechanism for intelligent systems, but a structure for organizing evidence and constraining belief. This is especially important for multimodal reaso…

cs.AI2026

KnowMe-Bench: Benchmarking Person Understanding for Lifelong Digital Companions

Tingyu Wu, Zhisheng Chen, Ziyan Weng +8

Existing long-horizon memory benchmarks mostly use multi-turn dialogues or synthetic user histories, which makes retrieval performance an imperfect proxy for person understanding.…