COLM 2027 — Conference on Language Modeling
by Conference on Language Modeling (COLM)
Dates and venue are not announced yet. Expected early October 2027, going by past editions. See the previous edition.
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About This Event
COLM 2027 — Conference on Language Modeling has not been announced yet. The 2026 edition ran October 6 to 9, 2026 in San Francisco. Dates, venue and deadlines will appear here once Conference on Language Modeling (COLM) publish them.
At a Glance
- Date
- Expected early October 2027, going by past editions
- Event Type
- Conference
- Status
- Upcoming
- Organizer
- Conference on Language Modeling (COLM)
- Added
- Oct 30, 2026
- Updated
- Oct 30, 2026
Topics & Focus Areas
Who Should Attend
- ✓Machine learning and NLP researchers
- ✓Applied research scientists at AI labs
- ✓ML engineers working on model training and evaluation
- ✓PhD students and postdocs in language modeling
- ✓Head of AI Research / research managers
- ✓Model evaluation and AI safety practitioners
- ✓Corporate research and university recruiting leads
Organizer
Conference on Language Modeling (COLM)
colmweb.org/Frequently Asked
- When is COLM 2027?
- COLM 2027 has not been announced yet. Expected early October 2027, going by past editions.
- Who should attend COLM 2027?
- COLM 2027 is aimed at Machine learning and NLP researchers, Applied research scientists at AI labs, ML engineers working on model training and evaluation, PhD students and postdocs in language modeling, Head of AI Research / research managers, Model evaluation and AI safety practitioners, Corporate research and university recruiting leads.
- What topics does COLM 2027 cover?
- COLM 2027 covers Language model training and fine-tuning, Evaluation, benchmarks and metrics, AI safety, security and adversarial robustness, Interpretability and scaling laws, Inference, reasoning and planning algorithms, Computational efficiency, distillation and quantization, Multimodal and embodied models, Interactive and multi-agent systems, Multilinguality, low-resource languages and fairness.
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