The 38th Annual AAAI Conference on Artificial Intelligence
February 20-27, 2024 | Vancouver, Canada
AAAI-24 Demonstrations Program
The AAAI-24 Demonstrations Program is intended to foster discussion and exchange of ideas among researchers and practitioners from academia and industry by presenting software and hardware systems and research prototypes of such systems, including their capabilities and workings. All accepted demos will be allocated time for live demonstrations. Accepted demonstrations will also have a short paper included in the proceedings.
Note that AAAI-24 is planned to be an in-person conference, thus at least one author of every accepted demo will be expected to present the work in person.
Demonstrations will be held during the poster sessions https://aaai.org/aaai-conference/program-overview/. The list of demos scheduled on each day is available below.
Demo presenters: each demo will be provided with the following resources:
- (1) 6’ x 30”H draped table
- (2) side chairs
- (1) monitor on stand
- (1) 4’ x 8’ poster board
- (1) 5 amp outlet
DEMO Schedule
Program Overview
Generation of Visual Representations for Multi-Modal Mathematical Knowledge
Lianlong Wu; Seewon Choi; Daniel Raggi; Aaron Stockdill; Grecia Garcia Garcia; Fiorenzo Colarusso; Peter C.H. Cheng; Mateja Jamnik
SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces
Rohan Chandra; Zayne Sprague; Joydeep Biswas
Reading between the Lines: Image-Based Order Detection in OCR for Chinese Historical Documents
Hsing-Yuan Ma; Hen-Hsen Huang; Chao-Lin Liu
Fast & Fair: A Collaborative Platform for Fair Division Applications
Jiatong Han; Warut Suksompong
Interactive Human-Centric Bias Mitigation
Inge Vejsbjerg; Elizabeth M. Daly; Rahul Nair; Svetoslav Nizhnichenkov
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
Zeyuan Zhang; Tanmay Laud; Zihang He; Xiaojie Chen; Xinshuang Liu; Zhouhang Xie; Julian McAuley; Zhankui He
The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games
Kuang-Da Wang; Yu-Tse Chen; Yu-Heng Lin; Wei-Yao Wang; Wen-Chih Peng
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning
Soumyendu Sarkar; Ashwin Ramesh Babu; Sajad Mousavi; Vineet Gundecha; Avisek Naug; Sahand Ghorbanpour
Sustainability of Data Center Digital Twins with Reinforcement Learning
Soumyendu Sarkar; Avisek Naug; Antonio Guillen; Ricardo Luna; Vineet Gundecha; Ashwin Ramesh Babu; Sajad Mousavi
EmFORE: Learning Email Folder Classification Rules by Demonstration
Mukul Singh; Gust Verbruggen; José Cambronero; Vu Le; Sumit Gulwani
CHICOT: A Developer-Assistance Toolkit for Code Search with High-Level Contextual Information
Terufumi Morishita; Yuta Koreeda; Atsuki Yamaguchi; Gaku Morio; Osamu Imaichi; Yasuhiro Sogawa
EasyTS: The Express Lane to Long Time Series Forecasting
Tiancheng Zhang; Shaoyuan Huang; Cheng Zhang; Xiaofei Wang; Wenyu Wang
ESG Accountability Made Easy: DocQA at Your Service
Lokesh Mishra; Cesar Berrospi; Kasper Dinkla; Diego Antognini; Francesco Fusco; Benedikt Bothur; Maksym Lysak; Nikolaos Livathinos; Ahmed Nassar; Panagiotis Vagenas; Lucas Morin; Christoph Auer; Michele Dolfi; Peter Staar
Interactive Visual Task Learning for Robots
Weiwei Gu; Anant Sah; Nakul Gopalan
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing
Runcong Zhao; Wenjia Zhang; Jiazheng Li; Lixing Zhu; Yanran Li; Yulan He; Lin Gui
Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning
Bharath Muppasani; Vignesh Narayanan; Biplav Srivastava; Michael N. Huhns
Enhancing Machine Translation Experiences with Multilingual Knowledge Graphs
Simone Conia; Daniel Lee; Min Li; Umar Farooq Minhas; Yunyao Li
Knowledge-Powered Recommendation for an Improved Diet Water Footprint
Saurav Joshi; Filip Ilievski; Jay Pujara
From Static to Dynamic: Knowledge Metabolism for Large Language Models
Mingzhe Du; Anh Tuan Luu; Bin Ji; See-Kiong Ng
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
Rongjie Huang; Mingze Li; Dongchao Yang; Jiatong Shi; Xuankai Chang; Zhenhui Ye; Yuning Wu; Zhiqing Hong; Jiawei Huang; Jinglin Liu; Yi Ren; Yuexian Zou; Zhou Zhao; Shinji Watanabe
SemLa: A Visual Analysis System for Fine-Grained Text Classification
Munkhtulga Battogtokh; Cosmin Davidescu; Michael Luck; Rita Borgo
Visual Language – Let the Product Say What You Want
Jiaying Wang; Shuailing Hao; Jing Shan; Xiaoxu Song
LLMGuard: Guarding against Unsafe LLM Behavior
Shubh Goyal; Medha Hira; Shubham Mishra; Sukriti Goyal; Arnav Goel; Niharika Dadu; Kirushikesh DB; Sameep Mehta; Nishtha Madaan
MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways
Mingyu Derek Ma; Alexander K. Taylor; Nuan Wen; Yanchen Liu; Po-Nien Kung; Wenna Qin; Shicheng Wen; Azure Zhou; Diyi Yang; Xuezhe Ma; Nanyun Peng; Wei Wang
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
Clyde Fare; George K. Holt; Lamogha Chiazor; Michail Smyrnakis; Robert Tracey; Lan Hoang
Tools Identification By On-Board Adaptation of Vision-and-Language Models
Jun Hu; Phil Miller; Michael Lomnitz; Saurabh Farkya; Emre Yilmaz; Aswin Raghavan; David Zhang; Michael Piacentino
Virtual Try-On: Real-Time Interactive Hybrid Network with High-Fidelity
Umer Waqas; Yunwan Jeon; Donghun Lee
Interactive Plan Selection Using Linear Temporal Logic, Disjunctive Action Landmarks, and Natural Language Instruction
Tathagata Chakraborti; Jungkoo Kang; Francesco Fuggitti; Michael Katz; Shirin Sohrabi
SciSpace Copilot: Empowering Researchers through Intelligent Reading Assistance
Trinita Roy; Asheesh Kumar; Daksh Raghuvanshi; Siddhant Jain; Goutham Vignesh; Kartik Shinde; Rohan Tondulkar
GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews
Kaushik Roy; Vedant Khandelwal; Valerie Vera; Harshul Surana; Heather Heckman; Amit Sheth
For More Information
Inquiries concerning demonstration submissions and suggestions may be directed to the demonstration program cochairs at aaai24dpchairs@aaai.org. All other inquiries should be directed to AAAI at aaai24@aaai.org.
Demonstration Program Cochairs
Noa Agmon (Bar-Ilan University, Israel)
Siddharth Srivastava (Arizona State University, USA)