AAAI

Limits of Multilayer Diffusion Network Inference in Social Media Research

Yan Xia, Ted Hsuan Yun Chen, Mikko Kivelä

Comments Accepted to ICWSM 2022

Journal ref Proceedings of the International AAAI Conference on Web and Social Media 16 (2022) 1145-1156

Orphan Articles: The Dark Matter of Wikipedia

Akhil Arora, Robert West, Martin Gerlach

Comments ICWSM 2024; 13 pages; 31 figures

Journal ref Proceedings of the International AAAI Conference on Web and Social Media, 18(1), 100-112

Label-Free Subjective Player Experience Modelling via Let's Play Videos

Dave Goel, Athar Mahmoudi-Nejad, Matthew Guzdial

Comments 9 pages, 3 figures, AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Fair Sampling in Diffusion Models through Switching Mechanism

Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park

Comments AAAI 2024

Journal ref In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 38, No. 20, pp. 21995-22003) 2024

Mechanic Maker: Accessible Game Development Via Symbolic Learning Program Synthesis

Megan Sumner, Vardan Saini, Matthew Guzdial

Comments 11 pages, 8 figures, AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer

Piyush Jha, Joseph Scott, Jaya Sriram Ganeshna, Mudit Singh, Vijay Ganesh

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23521-23522 (2024)

A Framework for the Construction of a Sentiment-Driven Performance Index: The Case of DAX40

Fabian Billert, Stefan Conrad

Comments Accepted and presented at the AAAI-2023 Workshop on Multimodal AI for Financial Forecasting (https://muffin-aaai23.github.io/index.html)

Customized Information and Domain-centric Knowledge Graph Construction with Large Language Models

Frank Wawrzik, Matthias Plaue, Savan Vekariya, Christoph Grimm

Comments Presented at CAIPI Workshop at AAAI 2024

Cause and Effect: Can Large Language Models Truly Understand Causality?

Swagata Ashwani, Kshiteesh Hegde, Nishith Reddy Mannuru, Mayank Jindal, Dushyant Singh Sengar, Krishna Chaitanya Rao Kathala, Dishant Banga, Vinija Jain, Aman Chadha

Comments AI Trustworthiness and Risk Assessment for Challenged Contexts (ATRACC) AAAI 2024 Fall Symposium

The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers

Orson Mengara

Comments Accepted by AAAI Workshop 2024

Social, Legal, Ethical, Empathetic, and Cultural Rules: Compilation and Reasoning (Extended Version)

Nicolas Troquard, Martina De Sanctis, Paola Inverardi, Patrizio Pelliccione, Gian Luca Scoccia

Comments In proceedings of the 38th Annual AAAI Conference on Artificial Intelligence

Modulated Intervention Preference Optimization (MIPO): Keep the Easy, Refine the Difficult

Cheolhun Jang

Comments 8pages, submitted to AAAI 2025

Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database

Christina P. Walker, Daniel S. Schiff, Kaylyn Jackson Schiff

Comments 6 pages, 1 table

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 21. 2024

Keeping Humans in the Loop: Human-Centered Automated Annotation with Generative AI

Nicholas Pangakis, Samuel Wolken

Comments Accepted at Proceedings of the International AAAI Conference on Web and Social Media. Vol. 19. 2025

Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis

Sakhinana Sagar Srinivas, Geethan Sannidhi, Sreeja Gangasani, Chidaksh Ravuru, Venkataramana Runkana

Comments Published at Deployable AI (DAI) Workshop at AAAI-2024

Ethical Artificial Intelligence Principles and Guidelines for the Governance and Utilization of Highly Advanced Large Language Models

Soaad Hossain, Syed Ishtiaque Ahmed

Comments 5 pages, accepted to workshop on Responsible Language Models (ReLM) at Association of the Advancement of Artificial Intelligence Conference (AAAI 2024)

Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens

Joseph Clinton, Robert Lieck

Comments 11 pages, 5 figures, Submitted to AAAI

Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine War

Patrick Gerard, Svitlana Volkova, Louis Penafiel, Kristina Lerman, Tim Weninger

Comments 12 pages, International AAAI Conference on Web and Social Media 2025

Pure-Circuit: Tight Inapproximability for PPAD

Argyrios Deligkas, John Fearnley, Alexandros Hollender, Themistoklis Melissourgos

Comments This journal version combines the results of two prior conference papers: "Pure-Circuit: Strong Inapproximability for PPAD" published in FOCS 2022, and "Tight Inapproximability for Graphical Games" (arXiv:2209.15151) published in AAAI 2023

Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis

Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana

Comments Paper published at AAAI 2024 Spring Symposium Series

Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception

Xiang Zhang, Yufei Cui, Chenchen Fu, Weiwei Wu, Zihao Wang, Yuyang Sun, Xue Liu

Comments Submitted to AAAI 2025

Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition

Shiming Ge, Kangkai Zhang, Haolin Liu, Yingying Hua, Shengwei Zhao, Xin Jin, Hao Wen

Comments Accepted by AAAI 2020

The Price of Justified Representation

Edith Elkind, Piotr Faliszewski, Ayumi Igarashi, Pasin Manurangsi, Ulrike Schmidt-Kraepelin, Warut Suksompong

Comments Appears in the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022

Journal ref ACM Transactions on Economics and Computation, 12(3):11 (2024)

Weighted Fairness Notions for Indivisible Items Revisited

Mithun Chakraborty, Erel Segal-Halevi, Warut Suksompong

Comments Appears in the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022

Journal ref ACM Transactions on Economics and Computation, 12(3):9 (2024)

On The Expressivity of Recurrent Neural Cascades

Nadezda Alexandrovna Knorozova, Alessandro Ronca

Comments Full version with appendix of a paper with the same title that appears in the proceedings of AAAI 2024

Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation

Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen

Comments AAAI-24 (Fixed some erros)

Human-Centered AI Applications for Canada's Immigration Settlement Sector

Isar Nejadgholi, Maryam Molamohammadi, Kimiya Missaghi, Samir Bakhtawar

Comments Accepted at the 7th AAAI Conference on AI, Ethics, and Society (AIES2024)

Taming Binarized Neural Networks and Mixed-Integer Programs

Johannes Aspman, Georgios Korpas, Jakub Marecek

Comments 9 pages, 4 figures

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 2024

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning

Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng

Comments The AAAI-2024 paper with the appendix

Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation

Lujun Gui, Bin Xiao, Lei Su, Weipeng Chen

Comments The work was not submitted to AAAI 2025