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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Rahul Kumar

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2 papers indexed here

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Preprint Aug 2026

Learning Context-Free Grammars for Grammar-Constrained Decoding via Declarative Agentic Programming with Guarantees

This work defines an agent, called Autogrammar, that automatically learns context-free grammars from documentation and execution data, formalized as a Kripke structure whose nondeterministic choices are resolved by a language model, enabling declarative control of agent behavior via linear temporal logic constraints.

K. Cheang, G. Hulette, Rahul Kumar et al. · 0 citations
Conference Jul 2026

Real-Time Correction of Named Entities in Speech Transcriptions: A Lightweight Approach

End-to-end on-device Automatic Speech Recognition (ASR) systems have demonstrated remarkable accuracy and efficiency in recent years. However, challenges persist in correctly transcribing infrequent named entities (e.g., geographical locations, business entities, person names, etc.) and handling diverse user accents, w...

Kiranmayi Gandikota, Anunay Katare, C. Pandey et al. · 0 citations

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