About The Workshop
The field of AI is entering a new era of interaction, profoundly shaped by the capabilities of Large Language Models (LLMs). While multi-turn interaction has been a long-standing pursuit in AI—from dialogue systems to multi-agent coordination—the advent of LLMs has radically transformed this landscape. These models now engage in complex, long-horizon interactions, process diverse data, and make crucial decisions in dynamic, human-centric scenarios.
This leap forward, however, brings forth critical new research questions and challenges that demand immediate attention:
- Multi-Turn RL Learning for Agentic Tasks Learning from complex, interactive environments like GUI agents and tool-use scenarios, given the challenges of sparse rewards.
- Maintaining Alignment Understanding human values over extended, multi-turn interactions, preventing "loss of alignment" seen in current models.
- Human-AI Interaction Over time, ensuring models adapt to user goals without compromising safety or fairness.
- Long-horizon Evaluation For LLMs' long-term capabilities, consistency, and strategic abilities in complex, multi-turn tasks.
The Workshop on Multi-Turn Interactions in LLMs is designed to be the central forum for addressing these pivotal questions. We invite researchers to contribute to defining the next generation of interactive AI, tackling these core challenges, and charting the course for future advancements in AI reasoning and planning. This workshop will concentrate on key areas where the extended use of LLMs presents both new challenges and opportunities, serving as a platform to discuss and refine methods for future improvements and evaluation for practical LLM use cases.
Topics
Our topics include but are not limited to:
Exploring diverse multi-turn interaction paradigms including human-AI, AI-AI, and AI-environment interactions. We welcome research on new multi-turn tasks, position papers on emerging interaction paradigms, and studies on complex scenarios like web agents, tool usage, simulations, and collaborative multi-agent systems. This includes GUI agents, conversational AI, interactive planning, and other long-horizon interactive tasks.
Novel methods and frameworks for multi-turn interactions, including various reinforcement learning approaches (PPO, GRPO, etc.), agent architectures, training pipelines, and algorithmic innovations. We seek research on addressing sparse rewards, effective credit assignment, improving training stability, rollout efficiency, and developing new RL methods specifically designed for long-horizon interactive settings with LLMs.
Long-horizon evaluation methods that assess consistency, stability, strategic ability, and performance degradation over extended interactions. This includes measuring and predicting performance on complex multi-turn tasks, identifying accumulating errors or unexpected behaviors, and creating comprehensive test environments. We encourage work building upon existing benchmarks like GAIA, TravelPlanner, τ-Bench, and ColBench, as well as developing new evaluation paradigms.
Addressing critical challenges in extended interactions, with a focus on maintaining alignment and safety over long-term interactions. This includes ensuring LLMs remain aligned with human values, maintaining consistent model personas, accurately tracking and adapting to users' changing goals, ensuring personalization does not compromise safety or fairness, and preventing advanced jailbreaking or hidden goal changes. We welcome research on coherence, personalization, trust, and other emerging challenges in multi-turn settings.
Call For Papers
The Workshop on Multi-Turn Interactions in LLMs @ NeurIPS 2025 invites submissions on the development of novel architectures, algorithms, theoretical analyses, empirical studies, and applications in multi-turn interactions with LLMs. Submissions must present original, unpublished research.
Key Dates
- Suggested Submission Date for Workshop Contributions: August 22, 2025, AoE
- Mandatory Accept/Reject Notification Date: September 22, 2025, AoE
- Workshop Date: December 6 or December 7, 2025
Submission Site
Submissions will be managed via OpenReview. Papers will remain private during the review process. All authors must maintain up-to-date OpenReview profiles to ensure proper conflict-of-interest management and paper matching. Incomplete profiles may result in desk rejection.
Learn how to create an OpenReview profile here.
Submit papers through the NeurIPS 2025 Workshop Submission Portal on OpenReview (Multi-Turn Interactions in LLMs Workshop Submission Portal).
Scope
We welcome contributions across a broad spectrum of topics related to our themes. Accepted papers will be presented as posters, with a subset selected for oral presentations. The workshop will take place in person at NeurIPS 2025, with virtual participation options to be confirmed.Submission Guidelines
Formatting Requirements
Submissions must be in English and follow the NeurIPS 2025 Workshop LaTeX Template.Papers must be submitted as a single PDF file:
- Full Papers: at most 8 pages (main text)
- Short Papers: at most 4 pages (main text)
- References and appendices are not included in the page limit, but the main text must be self-contained. Reviewers are not required to read beyond the main text.
Submissions exceeding the page limit will be desk rejected.
Anonymity
The workshop follows a double-blind review process. Submissions must be anonymized by removing author names, affiliations, and acknowledgments. Prior work should be cited in the third person. Identifying information, including in supplementary materials, must be omitted.Dual Submission and Non-Archival Policy
Submissions under review at other venues will be accepted, provided they do not breach any dual-submission or anonymity policies of those venues. Submissions will not be indexed or have archival proceedings.Transparency
By submitting to the workshop, authors agree that for all accepted papers, the original submission, reviews, and meta-reviews will be made publicly available on OpenReview.Contact
Email at multiturn-interactions-organizers@googlegroups.comSpeakers and Panelists
Schedule
Tentative workshop schedule. All talks include a Q&A session.
| Time (PDT) | Session | Speaker | Talk Title |
|---|---|---|---|
| 08:50 – 09:00 | Opening Remarks | Organizers | |
| 09:00 – 09:30 | Invited Talk 1 | Dawn Song (UC Berkeley) | Challenges in Multi-Turn Safety Alignment |
| 09:30 – 10:00 | Invited Talk 2 | Natasha Jaques (UW & Google DeepMind) | Learning from Human-AI Interaction |
| 10:00 – 10:30 | Oral Presentation 1 | TBA | |
| 10:30 – 11:00 | Invited Talk 3 | Tim Rocktäschel (UCL & Google Deepmind) | Open-Endedness |
| 11:00 – 12:00 | Poster Session 1 | ||
| 12:00 – 13:30 | Lunch Break | ||
| 13:30 – 14:00 | Invited Talk 4 | Diyi Yang (Stanford) | Multi-Agent Learning |
| 14:00 – 14:30 | Invited Talk 5 | Jason Weston (Meta FAIR) | Multi-Turn RL for Agentic Tasks |
| 14:30 – 15:30 | Poster Session 2 | ||
| 15:30 – 16:00 | Oral Presentation 2 | TBA | |
| 16:00 – 16:30 | Invited Talk 6 | Yu Su (Ohio State University) | Planning Capabilities for GUI Agents Task |
| 16:30 – 17:30 | Panel Discussion | Dawn Song, Natasha Jaques, Tim Rocktäschel, Peter Henderson, Diyi Yang, Jason Weston | |
| 17:30 – 17:45 | Paper Award & Closing Remarks | Organizers | |
Student Registration Grant
We are excited to offer a limited number of free full conference, "student early" registrations for NeurIPS 2025, exclusively for full-time students attending in person. This initiative aims to support early-career researchers while fostering diversity, equity, and inclusion (DEI) in the academic community.
Selection Criteria
Applications will be evaluated based on the strength of the submitted materials (see details below). Priority will be given to students presenting papers at our workshop who lack alternative travel support.
How to Apply
Interested students must complete the application form here by 11:59pm (AoE) on September 25, 2025 (Tentative), which includes the following:
- Personal & Academic Details: Name, affiliation, and relevant academic information
- CV/Resume
- Paper ID: Accepted or submitted to our workshop
- Statement of Interest: A brief paragraph explaining how this opportunity will benefit your research and career
- Attendance Confirmation: A clear statement confirming that you will attend in person
Important Notes
- Awardees will be announced in October 25, 2025 (Tentative)
- If you have already registered, please submit your receipt, and we will provide further instructions
- Travel and accommodations must be arranged independently—this grant covers registration only
This opportunity is highly competitive, and we encourage all eligible students to apply early!
Registration Grant Recipients
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TBA
Organizers
This workshop is organized by
Sponsors
Meta
Orby AI