Towards Knowledgeable Foundation Models
@ AAAI 2025 Workshop
March 4, 2025 in Philadelphia, Pennsylvania
Knowledge has been an important pre-requisite for a variety of AI applications, and is typically sourced from either structured knowledge sources such as knowledge bases and dictionaries or unstructured knowledge sources such as Wikipedia documents.
More recently, researchers have discovered that language models already possess a significant amount of knowledge through pre-training: LLMs can be used to generate commonsense knowledge and factual knowledge context for question answering. While the results are encouraging, there are still lingering questions:
This workshop examines the lifecycle of knowledge within language models:
This is the 2nd workshop for Knowledgeable Foundation Model workshop. The previous workshop was hosted at KnowLM@ACL2024.
Stay tuned by following us on Twitter @lm_knowledge.
Knowledge has been an important prerequisite for various NLP applications and is typically derived from either structured knowledge sources such as knowledge bases and dictionaries or unstructured knowledge sources such as Wikipedia documents and news articles.
It is known that language models already possess a significant amount of knowledge through pre-training: LLMs can be used to generate commonsense knowledge and factual knowledge when prompted to do so. However, beyond the surface, there are still many lingering questions such as “where the knowledge comes from”, “how do we quantify the amount of knowledge”, “is the knowledge reliable (and do LMs themselves know)”, “how can we augment LMs with domain-specific knowledge”, “how can we revise knowledge without hurting the reasoning abilities of LMs” and “how can we leverage knowledge to assist the self-correction of LMs”.
In this workshop, we want to bring together researchers who focus on different stages and different aspects (structured knowledge, unstructured knowledge, and knowledge acquired from LMs themselves) of the knowledge lifecycle to discuss the role of knowledge in the era of large language models.
Submission Topics
We welcome submissions on all topics related to knowledgable LMs, including:
We will also announce a Best Paper Award at our workshop sponsored by Amazon.
Submission Instructions
We solicit long papers (7 pages), short papers (4 pages), abstract papers (2 pages) with unlimited references/appendices. The contributions will be non-archival but will be hosted on our workshop website. Papers must be formatted in AAAI two-column, camera-ready style; see the AAAI-25 author kit for details. Please submit through OpenReview submission portal.
All deadlines are 11:59 pm UTC-12h (“Anywhere on Earth”).
Submission Deadline | Dec 1st 2024 (23:59pm AoE) |
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Decision Notifications | Dec 15th 2024 (23:59pm AoE) |
Camera-Ready Deadline | Dec 22nd 2024 (23:59pm AoE) |
Workshop Date | 4th March 2024 |
Time | Program |
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09:00-09:05 | Opening Remarks |
09:05-09:40 | Keynote Speech |
09:40-10:15 | Keynote Speech |
10:15-10:50 | Keynote Speech |
10:50-11:05 | Coffee Break |
11:05-12:25 | Oral Presentation |
12:25-12:30 | Best Paper and Outstanding Paper Announcement |
12:30-13:30 | Lunch Break |
13:30-14:05 | Keynote Speech |
14:05-14:40 | Keynote Speech |
14:40-15:15 | Keynote Speech |
15:15-15:50 | Panel Discussion |
16:00-17:30 | Poster Session |
Coming soon!