mlsanityData to 14 Oct 2026

Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation

arXiv 2309.12030 ↗First posted 21 Sep 2023cs.CLcited by 17

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Abstract (arXiv)

In response to the limitations of manual ad creation, significant research has been conducted in the field of automatic ad text generation (ATG). However, the lack of comprehensive benchmarks and well-defined problem sets has made comparing different methods challenging. To tackle these challenges, we standardize the task of ATG and propose a first benchmark dataset, CAMERA, carefully designed and enabling the utilization of multi-modal information and facilitating industry-wise evaluations. Our extensive experiments with a variety of nine baselines, from classical methods to state-of-the-art models including large language models (LLMs), show the current state and the remaining challenges. We also explore how existing metrics in ATG and an LLM-based evaluator align with human evaluations.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). Builds on 17 of its 42 references that are in the map. First posted on arXiv 21 Sep 2023.

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17 of 42 references.

References · 17

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  3. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
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  10. 2017Challenges in Data-to-Document Generationcited by 226
  11. 2020Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinementcited by 29
  12. 2022CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuningcited by 17
5 more
  1. 2022DeepGen: Diverse Search Ad Generation and Real-Time Customizationcited by 10
  2. 2023Natural Language Generation for Advertising: A Surveycited by 10
  3. 2019Algorithmic Copywriting: Automated Generation of Health-Related Advertisements to Improve their Performancecited by 5
  4. 2020Query-Variant Advertisement Text Generation with Association Knowledgecited by 5
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 11; 2026: 4.

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  1. 2025Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Abilitycited by 10
  2. 2025GEM-Bench: A Benchmark for Ad-Injected Response Generation within Generative Engine Marketingcited by 7
  3. 2025AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Textscited by 5
  4. 2024AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertisingcited by 4
  5. 2025Understanding Gender Bias in AI-Generated Product Descriptionscited by 3
  6. 2025HLLM-Creator: Hierarchical LLM-based Personalized Creative Generationcited by 3
  7. 2025AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Datasetcited by 2
  8. 2026NaiAD: Initiate Data-Driven Research for LLM Advertisingcited by 2
  9. 2025TextTIGER: Text-based Intelligent Generation with Entity Prompt Refinement for Text-to-Image Generationcited by 1
  10. 2025OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agentcited by 1
  11. 2025Generative Modeling with Multi-Instance Reward Learning for E-commerce Creative Optimizationcited by 1
  12. 2026Interactor: Agentic RL oriented Iterative Creation for Ad Description Generation in Sponsored Searchcited by 1
5 more
  1. 2024FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generationcited by 0
  2. 2025Exploring the Relationship Between Diversity and Quality in Ad Text Generationcited by 0
  3. 2025AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositionscited by 0
  4. 2026Recontextualizing Famous Quotes for Brand Slogan Generationcited by 0
  5. 2026AdsWorldEngine: A Self-Evolving Conversational Advertising Agent through Orchestrator and Tool Coevolutioncited by 0