KnowFM @ ACL 2026

Deadlines
NLP/CORE Unranked

KnowFM @ ACL 2026

4th Workshop on Towards Knowledgeable Foundation Models at ACL 2026

Jul 03 2026San Diego, California, United StatesOfficial workshop site Site reachable

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.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full 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.

Regular workshop papers

Will be included in the workshop proceedings.

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
  • 8 pages for main text
  • Submissions made through OpenReview submission portal

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026