COLING 2027 Industry Track: Call for PC members

AP
Alexandros Papangelis
Mon, Sep 7, 2026 6:39 PM

Dear all,

The 32nd International Conference on Computational Linguistics (COLING
2027) will take place in Macau, China, May 9-14 2027. COLING 2027
Industry Track invites expression of interest from eligible reviewers
and Area Chairs to join our Program Committee.

As in previous years, the Industry Track will provide the opportunity
to highlight key insights and new research challenges that arise from
the development and deployment of real-world applications using
language technologies. Relevant areas include system design,
efficiency, maintainability, and scalability of real-world
applications, with topics including but not limited to:

Benchmarks and methods for improving latency and efficiency of systems, including cost, latency, and efficiency of LLM/LM training and inference at scale
Continuous maintenance and improvement of deployed systems, including longitudinal studies of AI/NLP systems in production (performance drift, maintenance burden, and lifecycle management)
Enabling infrastructure for large-scale deployment
Human-in-the-loop approaches to application development
Implementation at speed, scale, or low-cost
System combinations
Evaluation, testing, and quality-assurance requirements and procedures for LLM-based components
Data and model governance procedures for deployed systems, including versioning strategies, lineage, access control, auditing, and compliance
Citizen-facing systems and public services, including challenges from multilingual, procurement and regulatory constraints

If you would like to join the PC, please submit your application via
https://forms.gle/BDsNxuddSCRqrbnE7 by October 15th.

Dear all, The 32nd International Conference on Computational Linguistics (COLING 2027) will take place in Macau, China, May 9-14 2027. COLING 2027 Industry Track invites expression of interest from eligible reviewers and Area Chairs to join our Program Committee. As in previous years, the Industry Track will provide the opportunity to highlight key insights and new research challenges that arise from the development and deployment of real-world applications using language technologies. Relevant areas include system design, efficiency, maintainability, and scalability of real-world applications, with topics including but not limited to: Benchmarks and methods for improving latency and efficiency of systems, including cost, latency, and efficiency of LLM/LM training and inference at scale Continuous maintenance and improvement of deployed systems, including longitudinal studies of AI/NLP systems in production (performance drift, maintenance burden, and lifecycle management) Enabling infrastructure for large-scale deployment Human-in-the-loop approaches to application development Implementation at speed, scale, or low-cost System combinations Evaluation, testing, and quality-assurance requirements and procedures for LLM-based components Data and model governance procedures for deployed systems, including versioning strategies, lineage, access control, auditing, and compliance Citizen-facing systems and public services, including challenges from multilingual, procurement and regulatory constraints If you would like to join the PC, please submit your application via https://forms.gle/BDsNxuddSCRqrbnE7 by October 15th.