Call for Papers

· 1 min read

We invite long (8-page) and short (4-page) paper submissions on topics including, but not limited to:

  • AI agent design and training for traditional human IA tasks, e.g., IR, RecSys, and QA systems
  • User simulation for estimating user backgrounds, goals, and information needs
  • Exploration of human-AI agent interaction modes in information acquisition
  • Privacy protection strategies for personalized IA provided by AI agents
  • Autonomous information acquisition by AI agents (e.g., retrieval-augmented generation; RAG) for extending or updating their static and limited parametric knowledge
  • Agent memory mechanisms and cognitive architectures to process and organize information
  • Learning paradigms for the AI agent’s self-improvement through accessing new information, e.g., deep reinforcement learning
  • Datasets, benchmarks, and hardware or software systems supporting new paradigms of AI-enhanced IA and IA-enhanced AI agents

Submission Instructions

We welcome two types of papers: regular workshop papers and non-archival submissions. Only regular workshop papers will be included in the workshop proceedings. The review process will be double-blind. All submissions should be in PDF format, following the [TBD] template and made through the OpenReview submission portal ([TBD]).

Important Dates

  • [TBD]