Long Papers
At most 8 pages long (excluding references and appendices), in LaTeX format using the ICLR 2026 conference style.
Machine Learning/CORE Unranked
SPOT 2026
The 1st Workshop on Scaling Post-training for LLMs
SPOT @ ICLR 2026 is a workshop focused on establishing a principled scientific framework for scaling post-training in large language models, encompassing supervised fine-tuning, reinforcement learning, and related methodologies. It brings together researchers to address systemic challenges in algorithms, systems, data, and safety that govern efficiency, stability, and performance in large-scale post-training, with an emphasis on foundational principles rather than specific applications.
Key deadlines
Verified September 9, 2026Full paper
February 7, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
February 7, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short/Tiny Papers
At most 4 pages long (excluding references and appendices), in LaTeX format using the ICLR 2026 conference style; authors may be earmarked for potential ICLR funding.
Research areas in scope
01
Topics of Interest
Algorithms: SFT and RL formulations, reward modeling, and objectives that enable stable and compute-efficient scalingSystems: Infrastructure challenges unique to post-training, including rollout latency, training–inference mismatches, distributed execution, and KV-cache managementArchitectures: The impact of design choices such as MoE, sparse attention, and model specialization on sample efficiency and generalizationData: The role of data curation and synthetic data in scaling post-training and shaping generalizationEnvironments & Safety: Post-training in multimodal, embodied, and real-world settings, with emphasis on evaluation fidelity and safetyFeedback & Verification: Efficient, dense feedback mechanisms as evaluation costs increasingly rival training costs
Policies worth checking twice
- Submissions must be previously unpublished.
- Concurrent submissions under review at other venues are welcome.
- All submissions will be reviewed in a double-blind manner and must be anonymized.
- Authors are encouraged to serve as reviewers for the workshop.
- Accepted papers may add 1 page of main content to address reviewer feedback: technical papers must not exceed 7 pages, position/vision papers must not exceed 5 pages.
- The workshop does not produce formal proceedings; accepted papers appear on OpenReview but authors may submit elsewhere.
- Poster submissions must not exceed 36in (H) x 24in (W) or 91cm (H) x 61cm (W) and must be in portrait format.
- Oral presentations are 10 minutes total (8 minutes presentation + 2 minutes Q&A).
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026