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Vignesh Kothapalli

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#artificial intelligence Preprint Oct 2026

Memorilla: Latent Semantic Memory for LLMs

Memory enables large language models (LLMs) to use information beyond their parameters, such as past user conversations, long documents, or an agent's earlier actions. For a frozen LLM, access to this accumulated knowledge is limited to what a memory system places in its context window. However, gathering and combining...

Adibvafa Fallahpour, Parsa Idehpour, Vignesh Kothapalli et al. · 0 citations
#artificial intelligence Preprint Oct 2026

RT-J: Large-Scale Pretraining of Relational Transformers for Context-Efficient Predictions

Foundation models for tables and relational databases are increasingly used for predictive tasks across various scientific and industrial domains. However, adapting existing models to unseen datasets requires tens of thousands of examples. Here we introduce RT-J, an 85M-parameter relational foundation model (RFM) that...

Rishabh Ranjan, Vignesh Kothapalli, Harsh Agarwal et al. · 0 citations

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