AI RESEARCH
On the Role of Language Representations in Auto-Bidding: Findings and Implications
arXiv CS.AI
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ArXi:2605.05833v1 Announce Type: new Auto-bidding is a crucial task in real-time advertising markets, where policies must optimize long-horizon value under delivery constraints (e.g., budget and CPA). Existing methods for auto-bidding rely on compact numerical state representations: while they can implicitly capture delivery dynamics, they offer limited for explicitly representing and controlling high-level intent, evolving feedback, and operator-style strategic guidance in real campaigns.