ICLR 2024 Workshop on LLM Agents delves into the significance of agents driven by large language models (LLMs), a topic that has recently sparked intense discussions. Building on the current huge progress on LLMs, we'll focus on autonomous agents that perform intricate tasks in both real and simulated environments guided by natural language instructions. What sets these agents apart is their sophisticated use of language prompts, not just as a means of communication but also as a medium for reasoningβ€”a characteristic once thought unique to humans.

Previous Workshop: TamingLLM @ Sigdial & INLG 2023


We will explore a range of topics in this workshop, including, but not limited to, the following areas:

Memory Mechanisms and Linguistic Representation:

This session will analyze the similarities between LLMs and human memory and will discuss the mechanisms of storage and formation of the linguistic representation in LLMs.

Tool Augmentation and Grounding (interaction with environment):

Addressing the enhancement of LLMs through tool augmentation, this session will also include a discourse on grounding – linking natural language concepts to particular contexts.

Reasoning, Planning, and Risks:

This session will discuss the intertwined processes of reasoning and planning in language agents and highlight the potential hazards associated with language agents' ability to autonomously operate in the real world.

Multi-modality and Integration in Language Agents:

This session will explore how language agents can integrate multiple modalities such as vision, sound, and touch to enhance their understanding and interaction with the environment.

Conceptual Framework for Language Agents:

This session will delve into a potential framework for language agents by drawing from both classic and contemporary AI research and related fields such as neuroscience, cognitive science, and linguistics.


Denny Zhou

Principal Scientist/Research Director, Google DeepMind

Dilek Hakkani-Tur

Professor of Computer Science, University of Illinois Urbana-Champaign

Chelsea Finn

Assistant Professor, Stanford University

Karthik Narasimhan

Assistant Professor, Computer Science, Princeton University

Graham Neubig

Associate Professor, CMU LTI

Joyce Y. Chai

Professor, University of Michigan

Workshop Schedule

Time Session Duration Details
9:00 AM - 9:10 AM Opening Remarks 10 min Welcome and Introduction to the Workshop
9:10 AM - 9:40 AM Invited Talk #1 30 min First invited talk
9:40 AM - 9:55 AM Spotlight Presentation #1 15 mins First spotlight presentation
10:00 AM - 10:30 AM Invited Talk #2 30 min Second invited talk
10:30 AM - 10:45 AM Coffee Break 15 min Networking and refreshments
10:45 AM - 11:15 AM Invited Talk #3 30 min Third invited talk
11:15 AM - 11:30 AM Spotlight Presentation #2 15 mins Second spotlight presentation
11:30 AM - 12:30 PM Poster Session I 60 min First session for display and discussion of all accepted submissions
12:30 PM - 1:30 PM Lunch Break 60 min Time for lunch and informal discussions
1:30 PM - 2:00 PM Invited Talk #4 30 min Fourth invited talk
2:00 PM - 2:15 PM Spotlight Presentation #3 15 mins Third spotlight presentation
2:15 PM - 2:45 PM Invited Talk #5 30 min Fifth invited talk
2:45 PM - 3:00 PM Spotlight Presentation #4 15 mins Fourth spotlight presentation
3:00 PM - 3:30 PM Invited Talk #6 30 min Sixth invited talk
3:30 PM - 3:45 PM Coffee Break 15 min Networking and refreshments
3:45 PM - 4:25 PM Panel Discussion 40 min Interactive session with panelists
4:25 PM - 4:30 PM Closing Remarks 5 min Concluding the workshop
4:30 PM - 5:30 PM Poster Session II 60 min Second session for display and discussion of all accepted submissions

Call for Papers

Important Dates:

  • Submission Deadline: February 11th, 2024 (11:59 pm AoE)
  • Acceptance Notification: March 3rd, 2024
  • Camera Ready Deadline: April 20th, 2024
  • Paper Availability on Website: April 27th, 2024
  • Workshop Date: May 11th, 2024
  • Location: Vienna Exhibition & Congress Center

Submission Tracks:

Consistent with the themes of the workshop, we invite contributions in the areas highlighted above. However, we emphasize that the topics list is not exhaustive and welcome submissions in related areas. There is no need to specify your track on OpenReview. Our workshop will not accept work that has been previously published in other conferences on machine learning. Work that is presented at the main ICLR conference should not be submitted to us as well.

  • Research Paper Track: We welcome a variety of original research papers, including but not limited to those that propose new techniques, discussion-based papers, literature surveys, and position papers. Research papers can have a maximum length of up to 9 pages of content, plus unlimited pages for references and appendix.
  • Demo Paper Track: We also welcome technical reports for the demo track, with a maximum of 9 pages (same as research papers). In addition to the paper, please provide a link to a video, website, or code repository showcasing your demo.

Submission Guidelines:

  • 🌐 Submission Platform:
  • πŸ“„ Paper Requirements:
    • Use the provided LaTeX template for your submission.
    • Papers should be anonymized and uploaded as a single PDF.
    • πŸ“š References and Appendix: Reviewers are not obliged to read the appendix.
  • πŸ” Non-Archival Policy:
    • Submissions will not be indexed or have archival proceedings. We welcome ICML 24 or ACL 24 submissions.
    • Accepted papers will be displayed on the workshop website on 27th April 2024.
  • πŸ”„ Dual Submission Policy:
    • Submissions under review at other venues will be accepted, provided they do not breach any dual-submission or anonymity policies of those venues.
  • πŸ‘€ Review Process:
    • The review process is double-blind.
  • πŸ† Best Paper and Demo Award:
    • The awards for best paper and demo will be announced at the workshop.


Workshop Organizers

Organizing Commitee

Xinyun Chen

Senior Research Scientist, Google DeepMind

Xiangru Robert Tang

Ph.D. student @ Yale University

Di Jin

Senior Applied Scientist @ Amazon

Devamanyu Hazarika

Applied Scientist @ Amazon

Daniel Fried

Assistant Professor, CMU LTI

Dawn Song

Professor, University of California, Berkeley

Shafiq Joty

Research Director, Salesforce Research

Meredith Ringel Morris

Director for Human-AI Interaction Research, Google DeepMind