mlsanityData to 7 Oct 2026

Auctions with LLM Summaries

arXiv 2404.08126 ↗First posted 11 Apr 2024cs.GT cs.AIcited by 24

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Abstract (arXiv)

We study an auction setting in which bidders bid for placement of their content within a summary generated by a large language model (LLM), e.g., an ad auction in which the display is a summary paragraph of multiple ads. This generalizes the classic ad settings such as position auctions to an LLM generated setting, which allows us to handle general display formats. We propose a novel factorized framework in which an auction module and an LLM module work together via a prediction model to provide welfare maximizing summary outputs in an incentive compatible manner. We provide a theoretical analysis of this framework and synthetic experiments to demonstrate the feasibility and validity of the system together with welfare comparisons.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). Builds on 17 of its 31 references that are in the map. First posted on arXiv 11 Apr 2024.

Builds on

17 of 31 references.

References · 17

  1. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  3. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,601
  4. 2022Large Language Models are Zero-Shot Reasonerscited by 4,323
  5. 2023Self-Refine: Iterative Refinement with Self-Feedbackcited by 3,317
  6. 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 3,155
  7. 2022Least-to-Most Prompting Enables Complex Reasoning in Large Language Modelscited by 1,397
  8. 2023Graph of Thoughts: Solving Elaborate Problems with Large Language Modelscited by 873
  9. 2021Show Your Work: Scratchpads for Intermediate Computation with Language Modelscited by 871
  10. 2023Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Modelscited by 550
  11. 2023Benchmarking Large Language Models for News Summarizationcited by 444
  12. 2022Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)cited by 396
5 more
  1. 2023Recommender Systems in the Era of Large Language Models (LLMs)cited by 188
  2. 2022Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluationcited by 141
  3. 2022Text and Patterns: For Effective Chain of Thought, It Takes Two to Tangocited by 128
  4. 2017Sponsored Search Auctions with Rich Adscited by 3
  5. 2022Simple Mechanisms for Welfare Maximization in Rich Advertising Auctionscited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 10; 2026: 11.

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  1. 2024Truthful Aggregation of LLMs with an Application to Online Advertisingcited by 29
  2. 2024Ad Auctions for LLMs via Retrieval Augmented Generationcited by 17
  3. 2025Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontierscited by 14
  4. 2024Online Learning from Strategic Human Feedback in LLM Fine-Tuningcited by 10
  5. 2025LLM-Auction: Generative Auction towards LLM-Native Advertisingcited by 10
  6. 2026Ad Insertion in LLM-Generated Responsescited by 8
  7. 2025GEM-Bench: A Benchmark for Ad-Injected Response Generation within Generative Engine Marketingcited by 7
  8. 2026The Consensus Trap: Rescuing Multi-Agent LLMs from Adversarial Majorities via Token-Level Collaborationcited by 7
  9. 2025MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attributioncited by 3
  10. 2026LERA: LLM-Enhanced RAG for Ad Auction in Generative Chatbotscited by 2
  11. 2025Incentive-Aligned Multi-Source LLM Summariescited by 1
  12. 2025Generating Fair Consensus Statements with Social Choice on Token-Level MDPscited by 1
12 more
  1. 2025Sponsored Questions and How to Auction Themcited by 1
  2. 2026Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Modelscited by 1
  3. 2026Generative AI Advertising as a Problem of Trustworthy Commercial Interventioncited by 1
  4. 2026Error-Aware Reverse Auction Mechanism for Large Language Model Routingcited by 1
  5. 2025TeamCMU at Touch'e: Adversarial Co-Evolution for Advertisement Integration and Detection in Conversational Searchcited by 0
  6. 2025LLMs for Resource Allocation: A Participatory Budgeting Approach to Inferring Preferencescited by 0
  7. 2025Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectivescited by 0
  8. 2026TourMart: A Parametric Audit Instrument for Commission Steering in LLM Travel Agentscited by 0
  9. 2026Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcingcited by 0
  10. 2026Decentralized Aggregation of LLM Predictions via Wagering Mechanismscited by 0
  11. 2026AdsWorldEngine: A Self-Evolving Conversational Advertising Agent through Orchestrator and Tool Coevolutioncited by 0
  12. 2026Inference Auctionscited by 0