Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions
Authors: Zhuoshu Li, Sanmay Das2093-2100
AAAI 2019 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We consider the problem of designing the information environment for revenue maximization in a sealed-bid second price auction with two bidders. ... We show that in a standard common-value auction setting, there is no beneο¬t to the auctioneer in terms of expected revenue from sharing information with the bidders, although there are effects on the distribution of revenues. In an interdependent-value model with mixed privateand common-value components, however, we show that asymmetric, information-revealing signals can increase revenue. |
| Researcher Affiliation | Academia | Zhuoshu Li, Sanmay Das Washington University in St. Louis EMAIL |
| Pseudocode | No | The paper presents theoretical models and proofs, but does not include pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link indicating that source code for the described methodology is publicly available. |
| Open Datasets | No | This is a theoretical paper that does not involve training models on datasets. |
| Dataset Splits | No | This is a theoretical paper and does not involve dataset splits for validation. |
| Hardware Specification | No | This is a theoretical paper that does not describe running experiments on specific hardware. |
| Software Dependencies | No | This is a theoretical paper and does not mention specific software dependencies with version numbers for replication. |
| Experiment Setup | No | This is a theoretical paper and does not describe an experimental setup with hyperparameters or training configurations. |