From the 1 of 10 linked papers with an AI index.
10 papers
MACS: A Hybrid Multi-Agent Framework for Reliable Conversational E-Commerce Recommendation
Juli Huang, Hannah Clay, Sajjad Beygi +3
Conversational recommendation for e-commerce is increasingly mediated by large language models (LLMs), yet many real-world deployments operate under a stricter requirement: recomme…
Efficiency, Feasibility, and Incentive-Awareness in Constrained Online Resource Allocation
Yan Dai, Negin Golrezaei, Patrick Jaillet
The paper proposes an Incentive-Aware Primal-Dual framework for allocating indivisible resources to strategic agents under long‑term constraints, achieving near‑optimal social welf…
Learning to Bid in Discriminatory Auctions with Budget Constraints
Negin Golrezaei, Sourav Sahoo
We study repeated bidding in multi-unit discriminatory (pay-as-bid) auctions for a single bidder with per-round utility equal to value minus times payment, where …
Policy Regret for Embedding Model Routing: Contextual Bandits with Low-Rank Experts
Yan Dai, Negin Golrezaei, Patrick Jaillet
Modern recommendation systems increasingly rely on dynamically routing diverse queries to multiple embedding models. Despite its practical significance, this problem remains poorly…
Market Design for AI: Beyond the Copyright Binary
Yan Dai, Maryam Farboodi, Negin Golrezaei +1
How can we design a market of human-generated content for use in training AI models that both enables technological progress and preserves individual incentives for high-quality co…
Online Resource Allocation with Convex-set Machine-Learned Advice
Negin Golrezaei, Patrick Jaillet, Zijie Zhou
Decision-makers often have access to machine-learned predictions about future demand that can help guide online resource allocation decisions. However, such predictions may be inac…