Welcome to AAAI-MAKE 2024. On this page, you will find the program and the respective starting times—participation is only possible after prior registration.
The AAAI Spring Symposium Series will be held at the Stanford University, Stanford, California.
- Symposia Location: Lane History Corner/Bldg. 200, 450 Jane Stanford Way Bldg 200, Stanford, CA 94305
- Room for AAAI-MAKE 2024: Room 02
- Reception: Tresidder Oak Lounge, second floor of the Tresidder Student Union Building
- Plenary: Bishop Auditorium
Last update: 2024-03-24
Monday, March 25
Opening
9:00 am – 09:10 am
Andreas Martin, AAAI-MAKE chair
Keynote
9:10 am – 09:50 am
Chair: Jane Hsu
Ron Brachman
Visiting Professor at Cornell Tech and former Director of the Jacobs Technion-Cornell Institute
Keynote: AI with Common Sense — The Bigger Picture (Slides)
Keynote
9:50 am – 10:30 am
Chair: Yen-Ling Kuo
Noah Goodman
Professor of Psychology and Computer Science at Stanford University, and Research Scientist at Google DeepMind
Keynote: Reasoning in humans and machines
Break
10:30 am – 11:00 am
Session 1
11:00 am – 12:30 pm
Chair: Pedro A. Colon-Hernandez
Nicholas Harvel, Felipe Bivort Haiek, Anupriya Ankolekar and David J. Brunner:
Can LLMs Answer Investment Banking Questions? Using Domain-Tuned Functions to Improve LLM Performance on Knowledge-Intensive Analytical Tasks (25 min)
Carsten Maletzki, Eric Rietzke and Ralph Bergmann:
Empowering Large Language Models in Hybrid Intelligence Systems through Data-Centric Process Models (25 min)
Florian Geissler, Karsten Roscher and Mario Trapp:
Concept-Guided LLM Agents for Human-AI Safety Codesign (15 min)
Christopher Toukmaji and Allison Tee:
Retrieval-Augmented Generation and Reasoning-and-Action Agents in Biomimicry (15 min)
Lunch
12:30 pm – 2:00 pm
Session 2
2:00 pm – 3:30 pm
Chair: Aurona Gerber
Pei-Ying Lin, Erick Chandra and Jane Yung-Jen Hsu:
ASMR: Aggregated Semantic Matching Retrieval Unleashing Commonsense Ability of LLM through Open-Ended Question Answering (25 min)
Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry and Sutanay Choudhury:
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding (25 min)
Yuxin Zi, Kaushik Roy, Vignesh Naryanan and Amit Sheth:
Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge (25 min)
Milan Kostic, Hans Friedrich Witschel, Knut Hinkelmann and Maja Spahic-Bogdanovic:
LLMs in Automated Essay Evaluation: A Case Study (15 min)
Break
3:30 pm – 4:00 pm
Keynote
4:00 pm – 4:40 pm
Andreas Martin1 and Edward A. Feigenbaum2
1AAAI-MAKE chair
2Professor Emeritus of Computer Science at Stanford University, winner of the ACM Turing Award, AAAI and ACM fellow
Keynote: In memoriam of Douglas B. Lenat (1950–2023)
Short Break
4:40 pm – 4:50 pm
Keynote
4:50 pm – 5:30 pm
Chair: Yen-Ling Kuo
Alison Gopnik
Professor of the Graduate School in the Department of Psychology at the University of California, Berkeley
Keynote: Large Language Models as Cultural Technologies: Truth versus transmission (Slides)
Reception
6.00 pm – 7:00 pm
Tuesday, March 26
Session 3
9:00 am – 10:30 am
Chair: Maaike de Boer
Andreas Martin, Charuta Pande, Hans Friedrich Witschel and Judith Mathez:
ChEdBot: Designing a Domain-Specific Conversational Agent in a Simulational Learning Environment using LLMs (25 min)
Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil and Krishnaprasad Thirunarayanan:
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries (25 min)
Jaelle Scheuerman and Dina Acklin:
A Framework for Enhancing Behavioral Science Research with Human-Guided Language Models (15 min)
Andreas Martin, Hans Friedrich Witschel, Maximilian Mandl and Mona Stockhecke:
Semantic Verification in Large Language Model-based Retrieval Augmented Generation (15 min)
Break
10:30 am – 11:00 am
Session 4
11:00 am – 12:30 pm
Chair: Yen-Ling Kuo
Neset Tan, Niket Tandon, David Wadden, Oyvind Tafjord, Mark Gahegan and Michael Witbrock:
Faithful Reasoning over Scientific Claims (25 min)
Kristina Radivojevic, Nicholas Clark and Paul Brenner:
LLMs Among Us: Generative AI Participating in Digital Discourse (25 min)
Charles Dickens, Connor Pryor and Lise Getoor:
Modeling Patterns for Neural-Symbolic Reasoning Using Energy-based Models (25 min)
Ben Schuering and Thomas Schmid:
What Can Computers Do Now? Dreyfus Revisited for the Third Wave of Artificial Intelligence (15 min)
Lunch
12:30 pm – 2:00 pm
Keynote
2:00 pm – 2:40 pm
Chair: Pedro A. Colon-Hernandez
Henry Lieberman
Research scientist at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT
Keynote: The Next Grand Challenge in AI — Making Better Mistakes (Slides)
Session 5
2:40 pm – 3:30 pm
Chair: Thomas Schmid
Lucas Snijder, Quirine Smit and Maaike de Boer:
Advancing Ontology Alignment in the Labor Market: Combining Large Language Models with Domain Knowledge (25 min)
Nils Beutling and Maja Spahic-Bogdanovic:
Personalised Course Recommender: Linking Learning Objectives and Career Goals through Competencies (25 min)
Break
3:30 pm – 4:00 pm
Session 6
4:00 pm – 5:30 pm
Chair: Reinhard Stolle
Adrian Mathys, Emanuele Laurenzi and Andreas Martin:
An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering Process (25 min)
Orfeas Menis Mastromichalakis, Edmund Dervakos, Alexandros Chortaras and Giorgos Stamou:
Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs (25 min)
Andreas Martin, Charuta Pande, Sandro Schwander, Ademola Ajuwon and Christoph Pimmer:
Domain-specific Embeddings for Question-Answering Systems: FAQs for Health Coaching (15 min)
Ankur Padia, Francis Ferraro and Tim Finin:
Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study (15 min)
Plenary Session
6.00 pm – 7:30 pm
Emanuele Laurenzi, representing AAAI-MAKE
Wednesday, March 27
Keynote
9:00 am – 09:40 am
Chair: Thomas Schmid
James McClelland
Lucie Stern Professor in the Social Sciences at Stanford University
Keynote: Incorporating explanation-based reasoning into models of human and machine intelligence
Session 7
9:40 am – 10:30 am
Chair: Thomas Schmid
Jia Huang, Peng Jiang, Alvika Gautam and Srikanth Saripalli:
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction (25 min)
Filippos Gouidis, Katerina Papantoniou, Konstantinos Papoutsakis, Theodore Patkos, Antonis Argyros and Dimitris Plexousakis:
Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification (25 min)
Break
10:30 am – 11:00 am
Session 8
11:00 am – 12:15 pm
Chair: Jane Yung-jen Hsu
Sadaf Ghaffari and Nikhil Krishnaswamy:
Exploring Failure Cases in Multimodal Reasoning About Physical Dynamics (25 min)
Sagar Srinivas Sakhinana, Geethan Sannidhi and Venkataramana Runkana:
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis (25 min)
Kaushik Roy, Alessandro Oltramari, Yuxin Zi, Chathurangi Shyalika, Vignesh Narayanan and Amit Sheth:
Causal Event Graph-Guided Language-based Spatiotemporal Question Answering (25 min)
Closing
12:15 pm – 12:30 pm
Andreas Martin, AAAI-MAKE chair
End of the Symposium
12:30 pm
Presentation Format
Symposium contributors will present their paper in a presentation, including a 5 to 10-minute discussion.
Papers
DO NOT cite, link to, redistribute, or republish AAAI-endorsed preprints. The papers on this website are not the final versions. The final versions will be published later and should be the version used for citations and links. The preprints have been made available for symposia attendees only.
Virtual Attendance
The AAAI is allowing virtual attendance, but all presenters need to be in person. Virtual presentations are not permitted. All virtual attendees must be registered; there is no reduced rate for virtual attendance. The AAAI will provide links directly to all registered attendees before the start of the program.
Registration*
Accepted authors, invited speakers, symposium participants, and other invited attendees must register to participate in the symposia. Please register via the online registration form.
* The Association for the Advancement of Artificial Intelligence (AAAI) is responsible for the overall organization of all the Spring Symposium Series. For any inquiries related to registration, please contact the AAAI at sss@aaai.org or consult the AAAI’s website (https://aaai.org/conference/spring-symposia/sss24/).