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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

P. Mehrotra

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Book Aug 2026

The 5th Workshop on AI Agent for Information Retrieval: Generating and Ranking

The field of information retrieval has been rapidly transformed by AI technologies, especially large language model (LLM) agents with strong reasoning, planning, and conversational capabilities. These AI agents have improved how information is retrieved, processed, and personalized across search and recommendation systems. Despite these advances, important challenges remain, including relevance, bias mitigation, real-time response, and data security. This workshop aims to bring together researchers and practitioners to discuss recent advances, practical applications, and future directions of AI agents in information retrieval, while encouraging collaboration and knowledge exchange within the community.

Qingsong Wen, P. Mehrotra, Yongfeng Zhang et al. · 0 citations
Jul 2026

Cardinality-Decomposed Loss: Matching Training Objectives to Relation Structure in Heterogeneous Recommendation Graphs

A Cardinality-Decomposed Loss (CDL) is proposed that combines both Cross Entropy (CE) and BPR to enable the model to collectively optimize for relations across cardinalities and is found that CDL consistently improves discriminability in attribute embeddings.

Parul Maheshwari, Amulya Paruchuri, Yiqing Zou et al. · 0 citations
Preprint Aug 2026

PACE: Policy-Attested Contract Execution for Safe AI Agents in Decentralized Finance

PACE (Policy-Attested Contract Execution), a transaction-level authorization framework that interposes between an LLM-based agent and on-chain execution, is presented and frame its claims as logic-level safety within a reproducible benchmark rather than deployment-ready DeFi security.

Rabimba Karanjai, Yang Lu, Richard T Williamson et al. · 0 citations

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