Short papers
Up to 4 pages of content, with unlimited additional pages for references, ethics/limitations, and supplementary material statements.
NLP/CORE Unranked
Industrial NLP ARR 2026
ARR Commitment Link to Industrial NLP
Oct 17 2026Official conference site Site reachable
The Workshop for Industrial NLP at INLG 2026 is a half-day event focused on natural language generation (NLG) and large language model (LLM) research driven by real-world deployment challenges. It aims to bridge academia and industry by addressing safety, reliability, evaluation, and practical impact of deployed NLP systems across domains like healthcare, finance, and cybersecurity.
Key deadlines
Verified September 9, 2026Full paper
August 2, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
August 2, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Extended abstracts
Up to 4 pages of content, with unlimited additional pages for references, ethics/limitations, and supplementary material statements.
Position papers
Up to 4 pages of content, with unlimited additional pages for references, ethics/limitations, and supplementary material statements.
Industrial case studies
Up to 4 pages of content, with unlimited additional pages for references, ethics/limitations, and supplementary material statements.
Research areas in scope
01
Safety & Security
Content safety, toxicity, and harmful-output mitigationAdversarial robustness, jailbreaks, and prompt injectionGuardrails and moderationPrivacy, PII leakage, and data protectionSecurity of NLP supply chains and toolingCompliance with safety regulations and standards
02
Reliability & Fairness
Factuality, hallucination detection, and groundingCalibration, uncertainty, and abstentionConsistency, prompt-sensitivity, and robustness to distribution shiftBias, fairness, and equitable behavior across users, dialects, and demographicsTrustworthy and accountable generation
03
Efficiency
Latency-, cost-, and memory-aware NLGModel compression, distillation, quantization, and pruningEfficient inference, caching, and serving at scaleSmall, on-device, and edge-deployable modelsSustainable and energy-aware NLP
04
Industrial Applications & Deployment
NLG/LLM systems in production across domains — including medicine and healthcare, finance, cybersecurity, law, education, search, assistants, customer support, and content platformsDeployment constraints (scalability, maintainability, integration)Domain adaptation and customizationMonitoring, incident analysis, and LLMOpsIntegration with enterprise and public-sector workflows
05
Evaluation, Datasets & Benchmarks
Evaluation in context: pipelines, protocols, and metrics that reflect real deploymentHuman evaluation and LLM-as-judge methodsPost-deployment quality assurance and regression testingNew datasets and benchmarks capturing operational conditions, domain shift, and multilingual/real-user settings
06
NLP for Social Good & Real-World Impact
NLG/LLM systems built for public-interest and high-benefit outcomesBroadening access through low-resource and multilingual NLPAccessibilityApplications in healthcare access, education equity, humanitarian and crisis response, public services, and the environmentParticipatory and human-centered design with affected communities
07
Negative Impacts & Their Mitigations
Critical analysis of the harms of deployed generative systems — misuse and dual-use, misinformation, labor and economic effects, environmental cost, and over-relianceConcrete, actionable mitigationsPosition papers, audits, incident retrospectives, and responsible-disclosure practices
Policies worth checking twice
- Submissions must be anonymised for double-blind review
- All submissions are non-archival — not published in the ACL Anthology proceedings
- Submissions may be previously published or under review elsewhere
- Submissions must use official ACL LaTeX/Word style files and follow ACL Author Guidelines
- Submissions must follow the ACL Code of Ethics
- Ethical considerations must be explicitly discussed
- Experimental work must include a data availability statement
- Submissions are limited to 4 pages of content (excluding references, ethics/limitations, and supplementary material)
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026