Neuro-Symbolic Learning and Reasoning
in the Era of Large Language Models
@ AAAI 2024
We are thrilled to announce the Workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models at AAAI 2024 to be held on February 26-27, 2024. This workshop aims to provide a dedicated platform for researchers to present and share their cutting-edge advancements in the next generation of neuro-symbolic AI. By creating an environment conducive to knowledge exchange and the exploration of innovative ideas, we aim to foster collaboration and inspire new breakthroughs. We invite submissions on topics and questions related to neuro-symbolic AI, including but not limited to:
Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models Navid Madani, Kenneth Joseph, Rohini K. Srihari |
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TaxoKnow: Taxonomy as Prior Knowledge in the Loss Function of Multi-class Classification Mohsen Pourvali, Yao Meng, Chen Sheng, Yangzhou Du |
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Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations Mohammad Mahmudul Alam, Edward Raff, Tim Oates |
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Learning Safety Constraints From Demonstration Using One-Class Decision Trees Mattijs Baert, Sam Leroux, Pieter Simoens |
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Plan-SOFAI: A Neuro-Symbolic Planning Architecture Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava |
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Fine-Tuning Language Models Using Formal Methods Feedback Yunhao Yang, Neel P. Bhatt, Tyler Ingebrand, William Ward, Steven Carr, Zhangyang Wang, Ufuk Topcu |
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Improving Multi-Hop Reasoning in LLMs by Learning from Rich Human Feedback Nitish Joshi, Koushik Kalyanaraman, Zhiting Hu, Kumar Chellapilla, He He, Li Erran Li |
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Counting Reward Automata: Sample Efficient Reinforcement Learning Through The Exploitation of Reward Function Structure Tristan Bester, Benjamin Rosman, Steven James, Geraud Nangue Tasse |
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DeiSAM: Segment Anything with Deictic Prompting Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting |
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CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut |
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Towards Consistent Language Models Using Controlled Prompting and Decoding Jasmin Mousavi, Arash Termehchy |
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ChatLogic: Integrating Logic Programming with Large Language Models for Multi-step Reasoning Zhongsheng Wang, Jiamou Liu, Qiming Bao, Hongfei Rong, Jingfeng Zhang |
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Combining Case-Based Reasoning with Deep Learning: Context and Ongoing Case Feature Learning Research David Leake, Zachary Wilkerson, David J. Crandall |
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RDR: The Recap, Deliberate, and Respond Method for Enhanced Language Understanding Yuxin Zi, Hariram Veeramani, Kaushik Roy, Amit P. Sheth |
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Neuro-Symbolic Representations of 3D Scenes using Universal Scene Description Language M Shifat Hossain, Md Rubel Ahmed, Laura Pullum, Sumit Jha, Rickard Ewetz |
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Start Time | Session | Speaker(s) |
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09:00 | Opening Welcome Talk | Workshop organizers |
09:15 | Invited Talk 1 | Gary Marcus |
09:45 | Invited Talk 2 | Parisa Kordjamshidi |
10:15 | Poster Setup | |
10:30 | Coffee Break | |
11:00 | Invited Talk 3 | Benjamin Grosof |
11:30 | Invited Talk 4 | Fabio Cozman |
12:00 | Contributed Talks 1 | Papers #8, #14, #1, #3, #15 |
12:30 | Lunch Break | |
14:00 | Contributed Talks 2 | Papers #2, #21, #13, #6, #5 |
14:30 | Coffee Break | |
15:00 | Poster Session 1 | |
15:30 | Invited Talk 5 | Tim Klinger |
16:00 | Panel and Open QA | All Day 1 invited speakers |
Start Time | Session | Speaker(s) |
---|---|---|
09:00 | Invited Talk 6 | Luis Lamb |
09:30 | Invited Talk 7 | Jennifer Chu-Carroll |
10:00 | Contributed Talks 3 | Papers #12, #10, #17, #4, #19 |
10:30 | Coffee Break (Poster Setup) | |
11:00 | Poster Session 2 | |
11:30 | Closing | Workshop organizers |
We invite 8-page full paper or 4-page short paper submissions. We also welcome 2-page extended abstracts for work that is published at AAAI or other venues. All submissions should be anonymized, with the exception of extended abstracts of previously-published work, which do not need to be anonymized. The papers should be formatted according to AAAI conference guidelines. Accepted papers will be non-archival. However, the PDFs will be hosted on the workshop website.
We sincerely thank the program committee for their considered and thoughtful reviews!