AAAI

How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries

Somnath Banerjee, Sayan Layek, Rima Hazra, Animesh Mukherjee

Comments Accepted at AAAI Conference on Web and Social Media (ICWSM) 2025. [Dataset](https://huggingface.co/datasets/SoftMINER-Group/TechHazardQA)

Reachability of Fair Allocations via Sequential Exchanges

Ayumi Igarashi, Naoyuki Kamiyama, Warut Suksompong, Sheung Man Yuen

Comments Appears in the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024

Journal ref Algorithmica, 86(12):3653-3683 (2024)

Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation

Taehyun Hwang, Min-hwan Oh

Comments Accepted in AAAI 2023 (Main Technical Track)

Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction

Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin

Comments Accepted in Proceedings of the AAAI Conference on Artificial Intelligence, 2024 (AAAI 2024)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 2024, pp. 964-971

StegaVision: Enhancing Steganography with Attention Mechanism

Abhinav Kumar, Pratham Singla, Aayan Yadav

Comments AAAI-25 Student Abstract

Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust

Ruoxi Shang, Gary Hsieh, Chirag Shah

Journal ref AIES '24: Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24), Pages 1343-1356, 2024

SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research

Liangtai Sun, Yang Han, Zihan Zhao, Da Ma, Zhennan Shen, Baocai Chen, Lu Chen, Kai Yu

Comments 12 pages, 17 figures, 12 tables. Accepted by AAAI 2024

NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation

Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu

Comments Accepted as a main track paper at AAAI 2021

Multimodal Commonsense Knowledge Distillation for Visual Question Answering

Shuo Yang, Siwen Luo, Soyeon Caren Han

Comments AAAI 2025 (Accepted, Oral)

H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses

Haidong Gu, Nathan Gaw, Yinan Wang, Chancellor Johnstone, Christine Beauchene, Sophia Yuditskaya, Hrishikesh Rao, Chun-An Chou

Comments Paper accepted in Human-Centric Representation Learning workshop at AAAI 2024 (https://hcrl-workshop.github.io/2024/)

An Empirical Analysis of Fairness Notions under Differential Privacy

Anderson Santana de Oliveira, Caelin Kaplan, Khawla Mallat, Tanmay Chakraborty

Comments Accepted for oral presentation at the The Fourth AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-23) https://aaai-ppai23.github.io/#accepted_papers

WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency

Pranav Jeevan, Neeraj Nixon, Amit Sethi

Comments 10 pages. Accepted in AAAI 2025. arXiv admin note: text overlap with arXiv:2307.00430

A Data-Driven Analysis of the Sovereign Citizens Movement on Telegram

Satrio Yudhoatmojo, Utkucan Balci, Jeremy Blackburn

Comments 11 pages, 3 figures, 5 tables

Journal ref Workshop Proceedings of the 18th International AAAI Conference on Web and Social Media (ICWSM) -- Workshop: CySoc 2024: 5th International Workshop on Cyber Social Threats

4D-based Robot Navigation Using Relativistic Image Processing

Simone Müller, Dieter Kranzlmüller

Comments AAAI Fall Symposia 2024

Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation

Michael Przystupa, Gauthier Gidel, Matthew E. Taylor, Martin Jagersand, Justus Piater, Samuele Tosatto

Comments 13 Pages, 7 Figures, presented at Collaborative AI and Modeling of Humans AAAI Bridge Program Submission

Learning Domain-Independent Heuristics for Grounded and Lifted Planning

Dillon Z. Chen, Sylvie Thiébaux, Felipe Trevizan

Comments Extended version of AAAI 2024 paper

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing

Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

Comments AAAI 2024, 15 pages, 4 figures, 1 table

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 38(14), 16120-16128, 2024

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency

Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin

Comments Accepted by AAAI-24

Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks

Pascal Zimmer, Sébastien Andreina, Giorgia Azzurra Marson, Ghassan Karame

Comments To appear in the Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2024

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 38(19), 2024, 21859-21868

Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment Tool

Lingwei Cheng, Cameron Drayton, Alexandra Chouldechova, Rhema Vaithianathan

Comments 18 pages, 11 figures, AAAI/ACM AIES24

Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations

José Luiz Nunes, Guilherme F. C. F. Almeida, Marcelo de Araujo, Simone D. J. Barbosa

Comments Final version available at: https://ojs.aaai.org/index.php/AIES/article/view/31704 13 pages, 4 figures, 2 tables

Journal ref NUNES, J. L.; ALMEIDA, GUILHERME F.C.F. ; ARAUJO, M. ; BARBOSA, SIMONE D J. Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations. In: AAAI/ACM Conference on AI, Ethics, and Society, 2024, San Jose, Califórnia

The Complexity of Optimizing Atomic Congestion

Cornelius Brand, Robert Ganian, Subrahmanyam Kalyanasundaram, Fionn Mc Inerney

Comments Short version appeared at AAAI 2024. Long version accepted in the Journal of Artificial Intelligence

On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts

Toluwani Aremu, Oluwakemi Akinwehinmi, Chukwuemeka Nwagu, Syed Ishtiaque Ahmed, Rita Orji, Pedro Arnau Del Amo, Abdulmotaleb El Saddik

Comments Study conducted between August and December 2023. Under review at AAAI-AI Magazine. Submitted for archival purposes only

Automatic Screening for Children with Speech Disorder using Automatic Speech Recognition: Opportunities and Challenges

Dancheng Liu, Jason Yang, Ishan Albrecht-Buehler, Helen Qin, Sophie Li, Yuting Hu, Amir Nassereldine, Jinjun Xiong

Comments AAAI-FSS 24

Spectral-Based Graph Neural Networks for Complementary Item Recommendation

Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang, Yequan Wang, Yujun Zhang

Comments Accepted by AAAI-24

Approval-Based Voting with Mixed Goods

Xinhang Lu, Jannik Peters, Haris Aziz, Xiaohui Bei, Warut Suksompong

Comments Appears in the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023

Journal ref Social Choice and Welfare, 62(4):643-677 (2024)

AAAI Workshop on AI Planning for Cyber-Physical Systems -- CAIPI24

Oliver Niggemann, Gautam Biswas, Alexander Diedrich, Jonas Ehrhardt, René Heesch, Niklas Widulle

Comments This is the Proceedings of the AAAI Workshop on AI Planning for Cyber-Physical Systems - CAIPI24, which was held in Vancouver, CA, February 26, 2024

2022 Flood Impact in Pakistan: Remote Sensing Assessment of Agricultural and Urban Damage

Aqs Younas, Arbaz Khan, Hafiz Muhammad Abubakar, Zia Tahseen, Aqeel Arshad, Murtaza Taj, Usman Nazir

Comments AAAI Symposium 2024

Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover

Benjamin Doerr, Zhongdi Qu

Comments Extended version of a paper that appears in the proceedings of AAAI 2023

Journal ref Conference on Artificial Intelligence (AAAI 2023), 12399-12407. 2023

Integrated or Segregated? User Behavior Change after Cross-Party Interactions on Reddit

Yan Xia, Corrado Monti, Barbara Keller, Mikko Kivelä

Comments To appear in Proceedings of the International AAAI Conference on Web and Social Media (ICWSM 2025)