AI Agent for Information Retrieval- Generating and Ranking 

The field of information retrieval has significantly transformed with the integration of AI technologies. AI agents, especially those leveraging LLMs and vast computational power, have revolutionized information retrieval, processing, and presentation. LLM agents, with advanced memory, reasoning, and planning capabilities, can perform complex tasks, engage in coherent conversations, and provide personalized responses.  Despite these advancements, challenges such as ensuring relevance and accuracy, mitigating biases, providing real-time responses, and maintaining data security remain. This workshop aims to explore these challenges, share innovative solutions, and discuss future directions. It will provide a platform to bring together researchers, practitioners to discuss the latest theoretical advancements and practical implementations of AI agents in information retrieval. Topics include AI in search, recommendation, and personalization systems. By gathering a diverse group of experts, the workshop seeks to deepen the understanding of AI agents in information retrieval, advance the field, and enhance its societal impact. Participants will gain insights into cutting-edge research, emerging trends, and foster knowledge exchange and collaboration within the community.

Submission Guidelines

The advent of Large Language Model (LLM) Agents marks a significant milestone in AI and NLP. LLM Agents use large language models to perform tasks beyond text generation, such as conducting conversations, completing tasks, reasoning, planning, and demonstrating some degree of autonomous behavior. According to a recent market report \cite{kumarashanmugam2024}, the LLM Agent market is estimated at USD 4.35 billion in 2023, with projections reaching USD 36.1 billion by 2030. The workshop aims to bridge the gap between information retrieval and AI technologies. It will explore the potential of generative models and AI-generated content to diversify available information and meet varied user preferences and needs. A key focus will be on the transformative potential of AI agents in reshaping user interactions with information retrieval systems, leveraging advancements in LLMs. The workshop will also address critical issues of trust and ethics in AI-driven information retrieval. Topic of Interests include but not limited to:

• Agentic Retrieval System

• Agentic Conversational Recommendation

• AI Agent for Personalization

• AI Agent for Sequential Recommendation

• AI Agent for Contextual Information Retrieval

• AI Agents for Cross-lingual and Multimodal Retrieval

• Retrieval-Augmented Generation Searching System

• Optimization of AI Agent Retrieval Models

• Bias Mitigation in AI-driven Information Retrieval

• Interpretable Generative Retrieval System

• Adversarial Attacks and Defenses in Agentic Retrieval System

• Ethical Considerations in Agentic Information Retrieval

• Human-AI Collaboration in Information Retrieval

• Evaluation for Agentic Information Retrieval

• Scalability and Efficiency in AI Agent Retrieval

This workshop follows the submission requirements of the KDD conference.

Rules:

• Long papers are up to 8 pages and short papers are up to 4 pages. These page limits include the bibliography and any possible appendices.

  - Single-blind peer review

  - All papers must be formatted according to the ACM sigconf template manuscript style, following the submission guidelines available at: https://www.acm.org/publications/proceedings-template.

  - Papers should be submitted in PDF format, electronically, using the EasyChair submission system.

Committees

Organizing committee

• Qingsong Wen 
• YongFeng Zhang 
• Zhiwei Liu
• Julian McAuley
• Hua Wei
• Linsey Pang
• Wei Liu 
• Philip S. Yu

Workshop Schedule

• Workshop paper submission: 8 May, 2025 

• Workshop paper notification:  8 June, 2025 

• Workshop paper camera-ready: 7 July, 2025

• Workshop Date: 3 August - 7 August, 2025

Contact Email: ai4agent@gmail.com