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20242026
most citedGenerative Auto-Bidding with Value-Guided Explorations

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.LG2026

PlatformBid: An Auto-Bidding Benchmark from a Unified Advertising Platform's Perspective

Shengtian Yang, Yewen Li, Peng Jiang +4

Real-time bidding is central to computational advertising, comprising three elements: Supply Side Platform (SSP) selling ad impressions, Demand Side Platform (DSP) bidding for adve…

cs.CL2026

LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting

Yewen Li, Zhiyi Lyu, Peng Jiang +3

The growing scale of ad auctions on online advertising platforms has intensified competition, making manual bidding impractical and necessitating auto-bidding to help advertisers a…

cs.GT2025

Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner

Yewen Li, Jingtong Gao, Nan Jiang +7

Auto-bidding is central to computational advertising, achieving notable commercial success by optimizing advertisers' bids within economic constraints. Recently, large generative m…

cs.LG2025★ 1 cited

Generative Auto-Bidding with Value-Guided Explorations

Jingtong Gao, Yewen Li, Shuai Mao +8

Auto-bidding, with its strong capability to optimize bidding decisions within dynamic and competitive online environments, has become a pivotal strategy for advertising platforms.…

cs.AI2024

GAS: Generative Auto-bidding with Post-training Search

Yewen Li, Shuai Mao, Jingtong Gao +6

Auto-bidding is essential in facilitating online advertising by automatically placing bids on behalf of advertisers. Generative auto-bidding, which generates bids based on an adjus…