Regular workshop papers
Will be included in the workshop proceedings.
NLP/CORE Unranked
KnowFM @ ACL 2026
4th Workshop on Towards Knowledgeable Foundation Models at ACL 2026
The KnowFM @ ACL 2026 workshop focuses on the lifecycle of knowledge in foundation models, exploring how knowledge emerges, is injected, updated, and probed or generated within large language models. It brings together researchers to address challenges in knowledge reliability, updating, evaluation, and extension to multimodal and agentic systems.
Key deadlines
Verified September 9, 2026Full paper
June 30, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
June 30, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Non-archival submissions
Will not be included in the workshop proceedings.
Research areas in scope
01
Submission Topics
Analysis of knowledge within foundation models: how much they know, where that knowledge comes from, and how it is representedEnhancing models with existing knowledge sources (knowledge graphs, domain-specific databases, manuals, rules, etc.) during training or inferenceAnalyzing and improving RAG (retrieval-augmented generation) systemsUpdating, editing, and erasing knowledge in foundation modelsKnowledge extraction, generation, and distillation using foundation modelsSynthetic data quality and reliability for knowledge-intensive tasksEvaluation of knowledge utilization (faithfulness, truthfulness, attribution) by foundation modelsIdentification and mitigation of hallucinations and factual errorsKnowledge conflicts: resolving inconsistencies between parametric memory and retrieved or long-context informationKnowledge in multimodal foundation models: visual knowledge, cross-modal grounding, and multimodal RAGKnowledge-intensive agents: search agents, tool-augmented agents, and agentic RAG systemsGrounding and knowledge acquisition in multi-step reasoning and planning agents
Policies worth checking twice
- Review process will be double-blind
- All submissions should be in PDF format following the ACL template
- Maximum of 8 pages for main text
- Submissions must be made through the OpenReview submission portal
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026