DATESTBA

COLM 2027 — Conference on Language Modeling

by Conference on Language Modeling (COLM)

conferenceUpcoming
Dates TBA

Dates and venue are not announced yet. Expected early October 2027, going by past editions. See the previous edition.

Get the dates when they drop, with the week's enterprise AI news, in the free Sunday brief.

Weekly, free. Unsubscribe any time. Privacy

Share:
THE DAILY BRIEF
DATESTBA
COLM 2027 — Conference on Language Modeling

by Conference on Language Modeling (COLM)

conferenceIn-Personupcoming

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

Language model training and fine-tuningEvaluation, benchmarks and metricsAI safety, security and adversarial robustnessInterpretability and scaling lawsInference, reasoning and planning algorithmsComputational efficiency, distillation and quantizationMultimodal and embodied modelsInteractive and multi-agent systemsMultilinguality, low-resource languages and fairness

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

C

Conference on Language Modeling (COLM)

colmweb.org/

THE DAILY BRIEF

Enterprise AI insights for technology and business leaders, weekly.

beri.net

Subscribe at beri.net/subscribe for weekly AI insights delivered to your inbox.

LinkedIn: linkedin.com/in/rberi  |  X: x.com/rajeshberi

© 2026 Rajesh Beri. All rights reserved.

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

Language model training and fine-tuningEvaluation, benchmarks and metricsAI safety, security and adversarial robustnessInterpretability and scaling lawsInference, reasoning and planning algorithmsComputational efficiency, distillation and quantizationMultimodal and embodied modelsInteractive and multi-agent systemsMultilinguality, low-resource languages and fairness

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

C

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.
Newsletter

Stay Ahead of the Curve

Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.

Subscribe