Long-term memory is essential for LVLM agents to maintain consistency and integrate information across extended multimodal interactions. Existing agent memory systems, however, often reduce visual experiences into textual summaries or rely on static retrieve-then-reason pipelines, which are inefficient at query time an...
Jingyu Sun, Yang Lin, Yuyang Xue et al.· 0 citations
This paper shows that latent-space predictive pretraining can provide a scalable route to foundation models for spatial transcriptomics. Existing spatial transcriptomics foundation models primarily reconstruct masked gene identities or expression values, potentially encouraging the reproduction of assay-specific techni...
Hai-Ping Liu, Qian Zhao, Lijing Lin et al.· 0 citations
This review systematically analyzes the emerging landscape of FMs in omics research, spanning sequence modeling, cell state characterization, and multimodal integration, and proposes a roadmap for the next generation of FMs, advocating for architectures that move beyond statistical correlation to incorporate causal rea...
Haozhe Liu, Wenhao Cai, Yizheng Sun et al.· Briefings in Bioinformatics· 0 citations
TrajWiki is proposed, a trajectory-based memory framework for long-horizon conversational agents that improves long-horizon dialogue performance across both open-source and closed-source LLM backbones, while providing greater interpretability and diagnostic visibility into memory evolution, retrieval failures, and answ...
Jingyu Sun, Yuyang Xue, Ming-Yang Li et al.· 0 citations
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