LM4Plan @ ICML 2026

ICML’26 Workshop,
Seoul, South Korea,
Date: July 11, 2026,
Room Main Program: Grand Ballroom 101-102,
Poster Session: Hall A, poster boards 1104–1115 and 1200–1201

Invited Speakers

We are excited to announce our invited speakers for LM4Plan @ ICML 2026. View full speaker details.

  • Samy Bengio - Apple
  • Subbarao Kambhampati - Arizona State University
  • Yarin Gal - University of Oxford
  • Elias Bareinboim - Columbia University
  • Noam Brown - OpenAI
  • Nathan Sturtevant - University of Alberta

Overview

Language Models (LMs) are a disruptive force, changing how research was done in many subareas of AI. Planning is one of the last bastions that remain standing. The focus of this workshop is on the questions in the intersection of these areas. Some of the specific areas we would like to gain a better understanding in include: what LMs can contribute to planning, how LMs can/should be used, what are the pitfalls of using LMs, what are the guarantees that can be obtained.

Schedule

Time Event Details
08:00–08:05 Opening remarks Katharina Stein
08:05–08:50 Invited talk Samy Bengio: Reasoning with LLMs: Challenges and Opportunities
08:50–09:35 Invited talk Nathan Sturtevant: LLM Planning Success
09:35–10:00 Coffee break  
10:00–10:45 Invited talk Subbarao Kambhampati: TBD
10:45–11:30 Invited talk Elias Bareinboim: Towards Causal Artificial Intelligence
11:30–11:40 buffer  
11:40–12:00 Oral presentations LM-Landmarks: Language Model Guided Landmark Generation for Classical Planning with Formal Soundness Guarantees
    IDP-MCTS Empowering Small Language Models for Automated MILP Modeling and Code Generation in Flexible Job Shop Scheduling
12:00–13:00 Lunch  
13:00–13:45 Invited talk Yarin Gal: Model Collapse and its Implications on Planning with LLMs
13:45–14:30 Invited talk Noam Brown: Implications of Large-Scale Test-Time Compute
14:30–14:40 buffer  
14:40–15:20 Oral presentations HiPER: Hierarchical Plan–Execute RL for Multi-Turn LLM Agents
    ICPRL: Acquiring Physical Intuition from Interactive Control
    Reward Prediction with Factorized World States
    OrigamiBench: An Interactive Environment to Synthesize Flat-Foldable Origamis
15:20–15:30 Concluding remarks  
15:30–16:00 Coffee break  
16:00–17:00 Poster session Hall A, boards 1104–1115 and 1200–1201

Important information for authors of accepted papers

  • The workshop will be an in-person event and you need to have a registration at least for the ICML workshops.

Poster presentations

  • Every accepted paper will be presented as a poster during the poster session
  • The poster session takes place in Hall A and every accepted paper will be presented as a poster during the poster session
  • Our workshop is assigned the boards 1104–1115 and 1200–1201 and you can put your poster at any of the assigned boards (see attached plan of Hall A). * Please note that there will be 2 posters per board. Please make sure to leave enough space for your neighbor’s poster when putting up your poster.
  • Your poster must adhere to the following size constraints: portrait format, 36 in (H) x 24 in (W) or 91 cm (H) x 61 cm (W). (Note this is different from the main conference poster size.)

Selected oral presentations

  • Six of the accepted papers were selected for an oral presentatoin
  • The presentations should consist of 7 minutes of presentation followed by 3 minutes for questions.
  • We will run all presentations from a single machine. Therefore, please send your slides to llmforplanning@gmail.com at least one day in advance, by 7:00 AM Seoul time on July 10, as a pdf (preferred) or a pptx file (less than 10MB).

Camera-ready

  • The camera-ready papers should be submitted by updating your paper on OpenReview and the same page limit applies as for the submissions, i.e. 4 pages for short papers and 8 pages for long papers, plus unlimited pages of references and supplementary material.
  • As the workshop is non-archival, there will not be any proceedings.
  • Also, the workshop papers do not count as ICML conference papers so please make sure to update the copyright footnote accordingly.
  • If your using the 2026 ICML Style file, please update Line 159 of the icml2026.sty file with the following workshop-specific text:”\textit{Accepted to the 4th Workshop on Planning in the Era of LLMs}, LM4Plan@ICML 2026, Seoul, South Korea. Copyright 2026 by the author(s).”

Accepted Papers

  • VeryTrace: Verifying Reasoning Traces through Compilable Formalism and Structured Verification
    Ninghan Zhong ⋅ Ahmet E Tanriverdi ⋅ Kaan Kale ⋅ Sriram Vishwanath
  • AVATAR-AGENT: A Multi-Agent LLM Planning System for 3D Avatar Generation
    Jason Ding ⋅ Rohan Gangaraju ⋅ Krishna C Garikipati ⋅ Foad Dabiri ⋅ Chang Xu
  • CAMEO: Cooperative Agentic Multi-objective Evolution of Heuristics
    Tien Dat Vu ⋅ Hung Phan ⋅ Yifan Yang ⋅ Huynh Thi Thanh Binh
  • When Plans Collide: Joint Planning in LLM Negotiation Dyads
    Yiheng Yao ⋅ Chelsea Zou ⋅ Robert Hawkins
  • BaRA: BFS-and-Reflection Web Data Collection Agent
    Soojeong Lee ⋅ Joseph Lee ⋅ Yongseong Cho ⋅ Sunjae Kim ⋅ Youngwoo Moon ⋅ Kyungwoo Song
  • QueryWeaver: Reliable Multi-Tool Query Execution Planning via LLM-Based Graph Generation
    Aishwarya Chakravarthy ⋅ Vidhi Kulkarni ⋅ Polo Chau
  • ICPRL: Acquiring Physical Intuition from Interactive Control
    Xinrun Xu ⋅ Pi Bu ⋅ Ye Wang ⋅ Börje F. Karlsson ⋅ Ziming Wang ⋅ Tengtao Song ⋅ Qi Zhu ⋅ Jun Song ⋅ Shuo Zhang ⋅ Zhingming Ding ⋅ Bo Zheng
  • OrigamiBench: An Interactive Environment to Synthesize Flat-Foldable Origamis
    Naaisha Agarwal ⋅ Yihan Wu ⋅ Yichang Jian ⋅ Yikuan Hu ⋅ Nishad Mansoor ⋅ Mohan Li ⋅ Yifei Peng ⋅ Wang-Zhou Dai ⋅ Yao-Xiang Ding ⋅ Emanuele Sansone
  • End-to-End LLM Flight Planning with RAG-based Memory and Multi-modal Coach Agent
    Amin Tabrizian ⋅ Arsyi Aziz ⋅ Aarifah Ullah⋅ Mahyar Ghazanfari ⋅ Pouria Razzaghi ⋅ Peng Wei
  • LaGO: Latent Action Guidance for Online Reinforcement Learning
    Kuanyen Liu ⋅ Renjyun Huang ⋅ Ti-Rong Wu
  • When in Doubt, Plan It Out: Committed Small Language Model Deliberation for Reactive Reinforcement Learning
    Nathan Gavenski ⋅ Juarez Monteiro ⋅ Francisco Galuppo Azevedo ⋅ Adriano Veloso ⋅ Odinaldo Rodrigues
  • Specialized LM Agents with Simulation-Verified Search for Service Workforce Planning
    Vivek Singh ⋅ Santosh Pai ⋅ Sarith Mohan ⋅ Chetan L Srinidhi ⋅ Azra Aziz ⋅ Sean Cohen ⋅ Neil Biehn ⋅ Maik Kuehnhoff
  • IDP-MCTS Empowering Small Language Models for Automated MILP Modeling and Code Generation in Flexible Job Shop Scheduling
    Mingming Peng ⋅ Jin Huang ⋅ Qihao Liu ⋅ Liang GAO ⋅ Xinyu Li
  • Theory of Mind Beyond Conversational Persuasion: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action
    Ben Slater ⋅ Matteo G Mecattaf ⋅ Lucy G Cheke ⋅ John Burden ⋅ Winnie Street
  • SafeRun: Enabling Determinism in LLM Planning for Running
    Meilin Chen ⋅ Zepeng Zhai ⋅ Jiaxuan Zhao ⋅ Yuan Lu
  • LM-Landmarks: Language Model Guided Landmark Generation for Classical Planning with Formal Soundness Guarantees
    Kaustubh Bukkapatnam ⋅ Siddharth Karuturi
  • Hierarchical Chain-of-Thought: Enhancing LLM Reasoning Performance and Efficiency
    Xingshuai Huang ⋅ Derek Li ⋅ Bahareh Nikpour ⋅ Parsa Omidi
  • The Orchestrator Bottleneck: Formal Coordination Strategies for Cost-Optimal Multi-Agent Enterprise Workflows
    Rudrendu Kumar Paul ⋅ Sourav Nandy
  • Multi-Pass LLM Compilation for HTN Domain Authoring
    Eliott Jacopin ⋅ Éric Jacopin ⋅ Koichi Takahashi
  • LLM-Guided Transportation Hub Capacity Planning with Textual Business Inputs
    Xiaoyue Liu ⋅ Zheng Dong
  • Generating Robust Portfolios of Optimization Models using Large Language Models
    Eleni Straitouri ⋅ Cheol Kim ⋅ Milind Tambe
  • HiPER: Hierarchical Plan–Execute RL for Multi-Turn LLM Agents
    Jiangweizhi Peng ⋅ Yuanxin Liu ⋅ Ruida Zhou ⋅ Charles Fleming ⋅ Zhaoran Wang ⋅ Alfredo Garcia ⋅ Mingyi Hong
  • Calibrate Once, Choose the Beam: A Predictive Regime Test for Same-LM Search Guidance and Pruning
    Jiahui Qu ⋅ Yifang Qin ⋅ BOYANG ZHENG ⋅ Ziyi Zhou
  • UniDesigner: Language Models as Unified Planners for Agentic Design
    Zhouqiang Jiang ⋅ Bowen Wang ⋅ Shuqiong Wu ⋅ Yuta Nakashima
  • RELIC: Revealed Principles for Learning Interpretable Composable Skills in Multi-Agent Planning
    Tuan-Kiet Nguyen-Viet ⋅ Pham Bui Dinh ⋅ Chính Dương ⋅ Tung Dao ⋅ Cong D Tran ⋅ Huynh Thi Thanh Binh
  • ReTreVal: Reasoning Tree with Validation and Cross-Problem Memory for Large Language Models
    Abhishek HS ⋅ Pavan C Shekar ⋅ Aswanth Krishnan ⋅ Arpit Jain
  • Reward Prediction with Factorized World States
    Yijun Shen ⋅ Delong Chen ⋅ Xianming Hu ⋅ Jiaming Mi ⋅ Hongbo Zhao ⋅ Kai Zhang ⋅ Pascale Fung
  • AgentRouter: Heterogeneous Model Routing for Cost-Optimal Multi-Step Agentic Workflows
    Rudrendu Kumar Paul ⋅ Sourav Nandy

Topics of Interest

We invite paper submissions on the following (not exhaustive) list of topics:

  • Planning directly with pre-trained or fine-tuned LMs.
  • Planning for LMs.
  • LMs for (partial) model elicitation.
  • LMs for generating structured planning problem descriptions.
  • LMs for search guidance or search pruning.
  • LMs for validation and verification of plans, policies, or models.
  • LMs for generalization in planning and generalized planning.
  • Using LMs as a proxy for user preferences.
  • Using LMs to develop interfaces for planning-based systems or planning-related problems.
  • Other applications of LMs in planning.

​Rejected ICML Submissions Track

We would like to offer authors of relevant submissions rejected from the main ICML 2026 track the opportunity to submit their papers to our workshop.

Submission Instructions In addition to the regular submission requirements described below, authors must include a single PDF containing both:

  1. the ICML 2026 reviews and rebuttal materials, as well as
  2. a short cover letter of no more than one page in which they may provide a final response to those reviews and describe the changes made to the paper.

Because relevance is a primary criterion for this track, we reserve the right to desk reject, without review, submissions that fall outside the topics of interest listed below.

Important Dates

Paper submission deadline: April 24th, 2026 at 23:59 Anywhere on Earth:

Rejected ICML Submissions Track Paper submission deadline: May 6th, 2026 at 23:59 Anywhere on Earth:

Paper acceptance notification: May 22nd, 2026 at 23:59 Anywhere on Earth:

Submission Details

Paper submissions should be made through OpenReview.

Format
All submissions must be a single PDF file and follow one of the formats below:

Long papers – up to 8 pages + unlimited references / appendices
Short papers – up to 4 pages + unlimited references / appendices

Please format submissions in ICML style (see instructions in the Author Kit ).

Dual-submission and non-archival policy
Authors submitting papers rejected from other conferences, please ensure you do your utmost to address the comments given by the reviewers. The workshop is a non-archival venue and will not have official proceedings. Workshop submissions can be subsequently or concurrently submitted to other venues.

Double-blind Reviewing policy
All submissions must be anonymized and may not contain any identifying information that may violate the double-blind reviewing policy. Submissions and reviews will not be public. Only accepted papers will be made public.

Reciprocal reviewing
Depending on the number of submissions, we may adopt a reciprocal reviewing process. For each submission, one reciprocal reviewer needs to be nominated who agrees to serve as a reviewer if reciprocal reviewing is implemented. Each nominated reviewer must have at least one relevant publication at a top venue and cannot be nominated as a reviewer for more than one submission.

Program Committee

To be announced.

Organizing Committee

  • Michael Katz, IBM
  • Augusto B. Corrêa, University of Oxford
  • Nir Lipovetzky, University of Melbourne
  • Sarath Sreedharan, Colorado State University
  • Katharina Stein, Saarland University
  • Luckeciano C. Melo, University of Oxford
  • Elliot Gestrin, Linköping University

Please send your inquiries to llmforplanning@gmail.com