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PriceBench: A Diagnostic Benchmark for Price, Quality, and Brand Preferences in LLM Booking Agents

Paper recorded by Signals 4 on 2026-09-25 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.AI · 人工智能 · first seen 2026-09-28

Abstract

LLMs increasingly act as purchasing agents, which makes the LLM, not the user, the one choosing among the options that satisfy a request; its preferences quietly fix what gets bought and what it costs. Hotel booking is a clean instance: a high-volume choice settled on a few comparable attributes, where the pick reveals those preferences. We introduce PriceBench, a diagnostic benchmark that recover

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#16 most recent of 420 cs.AI papers we have recorded · ↑ newer: Game Arena: Strategic LLM Evaluation in Competitive Environments · ↓ older: Uncertainty-Aware Federated Learning for Infant Movement Analysis
Cite this page: PriceBench: A Diagnostic Benchmark for Price, Quality, and Brand Preferences in LLM Booking Agents: the #16 most recent of 420 cs.AI papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pricebench-a-diagnostic-benchmark-for-price-quality-and-brand-preferences-in-llm.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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