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black-box models 1enterprise NLP 1explainability 1large language models 1robustness evaluation 1

From the 1 of 6 linked papers with an AI index.

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cs.IR2026

LLMs as Orchestrators: Constraint-Compliant Multi-Agent Optimization for Recommendation Systems

Guilin Zhang, Kai Zhao, Jeffrey Friedman +1

Recommendation systems must optimize multiple objectives while satisfying hard business constraints such as fairness and coverage. For example, an e-commerce platform may require e…

cs.IR2026

RobustExplain: Evaluating Robustness of LLM-Based Explanation Agents for Recommendation

Guilin Zhang, Kai Zhao, Jeffrey Friedman +1

Large Language Models (LLMs) are increasingly used to generate natural-language explanations in recommender systems, acting as explanation agents that reason over user behavior his…