All about training
Fine-tuning, instruction-tuning, RL, prompt tuning, in-context learning.
The 3rd Conference on Language Modeling — Hilton Union Square, San Francisco, October 6–9, 2026. A tidied, bilingual overview of dates, calls, topics, workshops, people and policies, curated from colm.cc.
The program, every accepted paper, and all 18 workshops — each on its own page.
An academic venue for the study of language modeling, broadly defined.
The leap in general-purpose capabilities from language models is a landmark in the development of AI, and it raises a different set of research questions than related venues typically focus on. COLM is an academic venue focused on the study of language modeling, broadly defined — building a community of researchers across disciplines who understand, improve, and critique the development of LM technology.
How do you pronounce COLM? It is pronounced like "Collum", after the Irish name Colm, which means dove.
Key milestones from the official Dates page on colm.cc. Deadlines are 23:59 AoE unless noted; the full list is on the Schedule page.
Abstracts were due 23:59 AoE on OpenReview; full papers followed five days later.
Final deadline for main-track papers (23:59 AoE).
Proposals for the Friday workshop day; decisions were announced May 12.
Authors respond to reviews on OpenReview.
Each workshop sets its own dates; see the Workshops page for the exact ones. Accept/reject notifications were mandatory by Jul 24.
856 papers accepted, 24 of them as oral presentations.
Registration opened at 1:00 PM PDT. In-person only; pricing and cancellation policy are on colm.cc.
Final date for sponsors; the sponsor portal stays open until Nov 30.
Three single-track days at Hilton Union Square: keynotes, six oral sessions, six poster sessions and a panel.
18 workshops run in parallel, 8:30 AM – 6:00 PM.
The COLM careers site accepts applications from Oct 12 until Nov 30.
17 areas — "language model" is meant in the broadest sense. Tap a card for the sub-topics.
Fine-tuning, instruction-tuning, RL, prompt tuning, in-context learning.
Data for pre-training, post-training, and other training stages.
Benchmarks, simulation environments, scalable oversight, protocols & metrics, bias/equity/misuse.
Security, privacy, misinformation, adversarial attacks & defenses.
Scaling laws, limitations, emergent capabilities, interpretability, training dynamics.
Distillation, compression, quantization, sample- and memory-efficient methods.
Distributed training & inference, training dynamics, optimization stability.
SFT/RL, unlearning, meta-learning, model mixing, continual learning.
Decoding, reasoning, search, planning.
Cognitive science, neuroscience, linguistics, legal perspectives.
Tool/API integration, LM-driven software engineering.
Multilinguality, dialects, low-resource & vernacular languages, value pluralism, fairness.
Factuality, retrieval-augmented LMs, knowledge models, commonsense, world models.
Perception, audio, time series, and other modalities.
Perception, action, and robotics.
Conversation, interactive learning, multi-agent learning.
Medicine, education, science, and beyond.
About 18 workshops, all on October 9, 2026 (7–9 hours each). Tap a card for the workshop site and call for papers.
Making LM reasoning cheaper and faster.
Behavior, evaluation, and analysis of AI agents.
Continual learning, alignment, and evolution of agents.
Text generation beyond left-to-right decoding.
Turning interpretability insights into action.
A scientific account of why foundation models work.
Globalizing tasks, evaluations, and systems.
Tokenization and its effect on language models.
From model security to multi-agent compositional threats.
Deployment opportunities and risks in healthcare.
Fidelity in social-simulation applications.
Persistent knowledge in language models.
Toward rigorous, scientific AI evaluation.
Human-centered privacy and security for LMs.
Learning from situated, embodied interaction.
Methods and opportunities for small-scale research.
Responsible data for foundation models.
Language models for scientific discovery.
The organizing committee and the COLM board. Tap a card for the person's homepage.
General Chair · Cornell University / Google DeepMind
Senior Program Chair · New York University
Program Chair · Carnegie Mellon University
Program Chair · University of Washington
Program Chair · MIT
Workshop Chair · Stanford University
Workshop Chair · University of Pennsylvania
Community & Accessibility Chair · USC
Community & Accessibility Chair · Johns Hopkins University
Ethics Chair · Cornell University
Ethics Chair · University of British Columbia
Organizational Chair · AICONS
COLM Board · University of Washington, NVIDIA
COLM Board · Google DeepMind
COLM Board · Princeton University
COLM Board · Meta
COLM Board · KAIST
COLM Board · Cornell Tech, ASAPP
COLM Board · Cornell University, Anysphere
COLM Board · Google DeepMind
The most common questions about submitting to and attending COLM.
Official documents on colm.cc. Tap a card to open the authoritative page.
Scope, 17 topic areas, double-blind review, ethics review, page limits and templates.
How to propose a workshop: scope, logistics, proposal format, and reviewing criteria.
Conduct expected of all participants; required acknowledgment before participating.
Ethical standards binding on the whole submission and reviewing process.
Guidance reviewers and area chairs are asked to follow.
Expectations and responsibilities for area chairs.
Step-by-step instructions for preparing and submitting your paper.
Guidance authors are expected to follow throughout the process.
How conflicts of interest are defined and handled via OpenReview profiles.
Adopts ICLR 2026's policy: substantive LLM use in research must be disclosed; minor copy-editing or coding assistance need not be. Any LLM use in reviewing must be disclosed.
COLM uses a distinct template. Follow its formatting; check that imported packages don't alter its parameters.
Registration opened Aug 10, 2026. COLM is in-person only — Hilton Union Square, San Francisco, Oct 6–9. Pricing, cancellation policy and hotel booking are on colm.cc.
Registration & pricing