NeurIPS 2025 Workshop on
Multi-Turn Interactions in Large Language Models

December 6, 2025
San Diego Convention Center, San Diego, USA

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:

(1) Multi-Turn Settings and Tasks:

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.

(2) Multi-Turn Frameworks and Algorithms:

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.

(3) Multi-Turn Evaluation:

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.

(4) Multi-Turn Challenges:

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

  • Submission Deadline: September 2, 2025, AoE
  • Review Period: September 5 - October 6, 2025
  • Notification Date: September 22, 2025 October 8, 2025, AoE
  • Workshop Date: December 6, 2025
Deadlines are strict and will not be extended under any circumstances. All deadlines follow the Anywhere on Earth (AoE) timezone.

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 9 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

NeurIPS and ICLR submissions are welcome to submit to our workshop. You can submit your work if it's currently under review at other venues. However, if your paper got accepted by other venues (e.g., NeurIPS) after submission, you have to withdraw from our workshop. Papers that are accepted after the submission deadline will not need to withdraw from our workshop, since the workshop is not archival. (That was a mistake previously, sorry!)



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.com

Speakers and Panelists

Dawn Song
Dawn Song

UC Berkeley

Jason Weston
Jason Weston

Meta FAIR

Diyi Yang
Diyi Yang

Stanford University

Peter Henderson
Peter Henderson

Princeton University

Natasha Jaques
Natasha Jaques

UW & Google DeepMind

Yu Su
Yu Su

Ohio State University

Will Brown
Will Brown

Prime Intellect

Confirmed Panelists

Will Brown
Will Brown

Prime Intellect

Eric Wang
Eric Wang

UCSB / Simular AI

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

Accepted Papers

Oral Presentations

Spotlight Presentations

Click to expand spotlight papers (10 papers)

Poster Presentations

Click to expand poster papers (109 papers)

Student Registration Grant

The Multi-Turn Interactions in LLMs (MTI-LLM) Workshop at NeurIPS 2025 is pleased to announce limited financial support for student authors of accepted workshop papers.

Thanks to our generous sponsors — Meta AI and Orby AI (now Uniphore) — we are offering registration reimbursement grants to ensure broader student participation in the NeurIPS community.

💡 Eligibility & Coverage

  • Only the student registration fee for workshop ($175 early and $230 late) is eligible for reimbursement, we are having 10-15 places.
  • Support will be issued via reimbursement after the conference (not as direct payment).
  • Travel, accommodation, or other expenses are not covered under this program.

💬 Reimbursement Policy

Reimbursements will be processed after NeurIPS 2025 upon submission of a valid payment receipt for the student registration.

This ensures funds are distributed fairly to participants who attend and present at the workshop.

🗓️ Key Dates

  • Application Deadline: October 20, 2025
  • Notification of Results: October 27, 2025

🎯 Priority Considerations

Preference will be given to:

  • students presenting accepted papers at MTI-LLM @ NeurIPS 2025
  • students without other funding support (e.g., from advisor or institution)
  • students from underrepresented regions or institutions

Registration Grant Recipients

  • Huiqi Zou - Northeastern University - PhD
  • Arthur Liang - MIT - Undergraduate
  • Adarsh Kumarappan - California Institute of Technology - Undergraduate
  • Moises Andrade - Georgia Institute of Technology - Incoming PhD Student
  • Mrinal Agarwal - Algoverse - Junior at Emerald High School
  • Yaoyao Qian - Northeastern University - Master's
  • Junhong Shen - Carnegie Mellon University - PhD
  • Xueguang Ma - University of Waterloo - PhD
  • Li Li - University of Southern California - PhD
  • Ao Qu - Massachusetts Institute of Technology - PhD
  • Jingxu Xie - UC Berkeley - PhD
  • Young-Jun Lee - KAIST - PhD
  • Hao Bai - UIUC - PhD
  • Zhiyuan Hu - MIT - PhD

Organizers

This workshop is organized by

Simon Yu
Simon Yu

Northeastern University

Bo Liu
Bo Liu

National University of Singapore / Meta

Yifei Zhou
Yifei Zhou

UC Berkeley / xAI

Mickel Liu
Mickel Liu

University of Washington

Kai Zhang
Kai Zhang

Ohio State University

Hanxu Hu
Hanxu Hu

University of Zurich / Microsoft Research Asia

Leon Guertler
Leon Guertler

Singapore A*STAR

Leshem Choshen
Leshem Choshen

MIT / MIT-IBM Watson AI Lab

Weiyan Shi
Weiyan Shi

Northeastern University



Sponsors

Meta

Meta

Uniphore Orby AI

Uniphore / OrbyAI

Partners

Prime Intellect

Prime Intellect