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Game of Phones: Harnessing Game Theory and LLMs in 'Bot Wars' to Counteract Phone Scams

Paper recorded by Signals 4 on 2026-10-19 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-19 on arXiv · recorded by Signals 4 on 2026-10-20

Category: cs.AI · 人工智能 · first seen 2026-10-20

Abstract

Phone scams impose substantial and growing costs on individuals and financial systems worldwide, yet existing countermeasures impose no resource cost on perpetrators. Strategic scam-baiting, in which automated agents engage scammers to deplete their operational capacity, offers a proactive alternative but requires dynamic strategy adaptation that static systems cannot provide. We introduce a game-

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#259 most recent of 960 cs.AI papers we have recorded · ↑ newer: LG-Bench: A Graph-Structured Evaluation Benchmark for Life Sciences · ↓ older: TokenGate: Adapting LLMs for Fast and Memory-Efficient Prefill with Le
Cite this page: Game of Phones: Harnessing Game Theory and LLMs in 'Bot Wars' to Counteract Phone Scams: the #259 most recent of 960 cs.AI papers we have recorded (as of 2026-10-19). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/game-of-phones-harnessing-game-theory-and-llms-in-bot-wars-to-counteract-phone-s.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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