AAAI 2025

3,486 papers

A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract)

Thanh-Danh Nguyen, Vinh-Tiep Nguyen, Tam V. Nguyen

3M-Game: Multi-Modal Multi-Task Multi-Teacher Learning for Game Event Detection (Student Abstract)

Thye Shan Ng, Feiqi Cao, Soyeon Caren Han

Strategic Manipulation in Temporal Voting with Undesirable Candidates (Student Abstract)

Tzeh Yuan Neoh, Nicholas Teh

From Complexity to Clarity: Transforming Chest X-ray Reports with Chained Prompting (Student Abstract)

Sujoy Nath, Arkaprabha Basu, Kushal Bose, Swagatam Das

Audience Engagement with Political Messaging on YouTube Shorts (Student Abstract)

Omkar Narkar, Aman Vohra, Ashiqur R. KhudaBukhsh

Ensuring Class-Conditional Coverage for Pathological Workflows (Student Abstract)

Siddharth Narendra, Shubham Ojha, Aditya Narendra, Abhay Kshirsagar, Abhisek Mallick

NAAM: Node-Aware Attention Mechanism for Distilling GNNs-to-MLP (Student Abstract)

Itsuki Nakayama, makoto onizuka

LoRA Unlearns More and Retains More (Student Abstract)

Atharv Mittal

An Evolutionary Perspective on AI Alignment (Student Abstract)

Ida Mattsson

Algorithm Selection for Word-Level Hardware Model Checking (Student Abstract)

Zhengyang Lu, Po-Chun Chien, Nian-Ze Lee, Vijay Ganesh

Top-one Recommendation with Anonymous User Behaviors (Student Abstract)

Xiangkui Lu, Jun Wu

Alleviating Dual Biases in Recommendation (Student Abstract)

Sijin Lu, Fangyuan Luo, Jun Wu

Transfer Learning in Financial Time Series with Gramian Angular Field (Student Abstract)

Hou-Wan Long, On-In Ho, Qi-Qiao He, Yain-Whar Si

Assessing the Impact of Population Data Domain Differences on Transfer Learning in P300-based Brain-Computer Interfaces (Student Abstract)

Rally Lin, Christina Mo, Reyan Shariff, Darrick Zhang, Abdullah Alumar

Neuron Explanations for Conformal Prediction (Student Abstract)

Divya Lidder, Kathryn Morse, Bridget Sullivan, Wei Qian, Chenglin Miao

A Renormalization Group Framework for Scale-Invariant Feature Learning in Deep Neural Networks (Student Abstract)

Sarah Liaw

Unraveling the Influence of Training Data and Internal Structures in Large Language Models for Enhanced Explainability (Student Abstract)

Lingfang Li, Procheta Sen

Robust and Adaptive AI Models for Medication Usage Forecasting Using ICD-9/10 Code (Student Abstract)

Jonathan Li

Imitation Learning Backoff: Reinforcement Learning-based Channel Access for Guaranteeing Fairness (Student Abstract)

Taegyeom Lee, Ohyun Jo

High School Course Scheduling: Student Preferences and Fairness Constraints (Student Abstract)

Mitsuka Kiyohara

Beyond Virtual Points: Depth-Enhanced LiDAR-only 3D Object Detection with Semi-Supervised Learning (Student Abstract)

Jisu Kang, WooSeok Shin, Jin Sob Kim, Hyun Joon Park, Yujin Ham

LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract)

Piyush Jha, Arnav Arora, Vijay Ganesh

WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency (Student Abstract)

Pranav Jeevan, Neeraj Nixon, Amit Sethi

Trade-Offs Between Information and Crowding in Sequential Decisions (Student Abstract)

Daniel Hall, Jon Kleinberg

Towards Enhancing Road Safety in South Carolina Using Insights from Traffic and Driver-Education Data (Student Abstract)

Nitin Gupta, Bharath Muppasani, Saina Srivastava, Aarohi Goel, Ross Hartfield

Efficient Unlearning for Spatio-temporal Graph (Student Abstract)

Qiming Guo, Chen Pan, Hua Zhang, Wenlu Wang

Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract)

Katherine M. Guerrerio, Lujie Karen Chen, Lisa Berlin, Brenda Jones Harden

Assessing Vulnerabilities in State-of-the-Art Large Language Models Through Hex Injection (Student Abstract)

Da Cheng Gu, Wei Liu

2-in-1 Phishing Detection via Large LM Distillation and Small LM Perturbation (Student Abstract)

Calvin Greenewald, Bradley Ashmore, Chien-Sing Poon, Lingwei Chen

Enhancing Aging Biomarker Research through Large Language Models and Knowledge Graphs (Student Abstract)

Srikar Reddy Gadusu, Yiğit Küçük, Vania Santillana, Aaron King, Hande Küçük McGinty

Multi-Modal Hand-to-Mouth Gesture Recognition in Activity-Oriented RGB-Thermal Footage (Student Abstract)

Glenn Fernandes, Meixi Lu, Farzad Shahabi, Jiayi Zheng, Aggelos Katsaggelos

Accounting for Spatial Variability with the Histogram of Oriented Gradients Based Masking Improves Performance of Masked Autoencoder over Hyperspectral Satellite Imagery (Student Abstract)

Tanjim Bin Faruk, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara

Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract)

Bayaraa Enkhsaikhan, Ohyun Jo

On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract)

Tadeusz Dziarmaga, Tomasz Arczewski, Marcin Mazur, Maciej Wołczyk

ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract)

Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan

All You Need Is S P A C E: When Jailbreaking Meets Bias Audit and Reveals What Lies Beneath the Guardrails (Student Abstract)

Arka Dutta, Aman Priyanshu, Ashiqur R. KhudaBukhsh

Leveraging Textual Memory and Key Frame Reasoning for Full Video Understanding Using Off-the-Shelf LLMs and VLMs (Student Abstract)

Harsh Dubey, Chulwoo Pack

AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract)

Yimian Ding, Jingzehua Xu, Yiyuan Yang, Guanwen Xie, Xinqi Wang

QAagent: A Multiagent System for Unit Test Generation via Natural Language Pseudocode (Student Abstract)

Akhil Deo

Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract)

Austin L. Davis, Gita Sukthankar

Optimized Random Features for the Neural Tangent Kernel (Student Abstract)

Shrutimoy Das, Binita Maity

Automatic Summarization of Long Documents (Student Abstract)

Naman Chhibbar, Jugal Kalita

scMBERT: A Pre-Trained Deep Learning Model for Single-Cell Multiomic Data Representation and Prediction (Student Abstract)

Xiaojian Chen, Kuai Yu, Min-Zhi Jiang, Cihan Xiao, Ziqi Fu

Communication Accommodation Between Large Language Models and Users Across Cultures (Student Abstract)

Rong-Ching Chang, Hao-Chuan Wang

Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract)

Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi

Hypernetwork Approach to Bayesian MAML (Student Abstract)

Piotr Borycki, Piotr Kubacki, Marcin Przewięźlikowski, Tomasz Kuśmierczyk, Jacek Tabor

Using Next Sentence Prediction to Test ChatGPT’s Text Comprehension (Student Abstract)

Ojas M Agarwal, Madelein Villegas, Jack Mostow

Advancing Medical Multimodal Learning and Data Generation with Diffusion Model and LLM

Yuan Zhong

Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning

Haofeng Zhang

Leveraging Large Language Models for Wind Energy Assessment

Janice Anta Zebaze, Azanzi Jiomekong, Innocent Souopgui, Germaine Djuidje Kenmoé

Advancing Intelligent Software Development and Trustworthy Models Through the Synergy of Software Engineering and LLMs

Guanqun Yang

The Mainstays of Trustworthy Machine Learning

Chhavi Yadav

Kernel Representation Learning for Time Sequence: Algorithm, Theory, and Applications

Kunpeng Xu

Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks

Ximing Wen

Developing Multimodal Healthcare Foundation Model: From Data-driven to Knowledge-enhanced

Xiaochen Wang

Design and Evaluation of a Generative Artificial Intelligence-Based Tool for Students with Learning Disabilities in Kenya

G. Mercy Wairimu

Developing LLM-Powered Trustworthy Agents for Personalized Learning Support

Benyamin Tabarsi

Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction

Yuanjie Shi

Towards Autonomous Network Management: AI-Driven Framework for Intelligent Log Analysis, Troubleshooting and Documentation

Shaghayegh Shajarian

Understanding GenAI for Teaching and Learning in Secondary Classrooms

Heidi Reichert

Advancing Feature Extraction in Healthcare through the Integration of Knowledge Graphs and Large Language Models

Fahmida Liza Piya, Rahmatollah Beheshti

Hyper-Spectral Image Generation from Frequency Spectrums

Ruth-Emely Pierau

A Privacy-Preserving Framework for Generative Model-driven Synthetic Datasets

Debalina R Padariya

Intelligent Clinical Assistant for Personalized Responses and Clinical Summaries

Subash Neupane

Adaptive Agents for Mixed-Initiative Human-AI Collaborations

Manisha Natarajan

Human Interpretable Virtual Metrology in the Semiconductor Manufacturing

Amina Mević

Knowledge Graph and Large Language Model for Metabolomics

Yuxing Lu

Towards Trustworthy, Efficient, and Scalable Machine Learning

Yezi Liu

Mobility Data Representations for Spatiotemporal Tasks

Cristiano Landi

Toward Causal Generative Modeling: From Representation to Generation

Aneesh Komanduri

Investigating and Mitigating Undesirable Biases in Large Language Models

Mahammed Kamruzzaman

Data Monitoring for Large Scale Public Health Data

Ananya Joshi

Understanding Microtargeting Pattern on Social Media

Tunazzina Islam

Natural Language Generation with Expert Standards

Joseph Marvin Imperial

From Gambits to Assurances: Game-Theoretic Integration of Safety and Learning for Interactive Robotics

Haimin Hu

Tracking and Identifying International Propaganda and Influence Networks Online

Hans W. A. Hanley

Explainable Robot Navigation

Amar Halilovic

A Hybrid Approach for Visual Recognition of Object States

Filippos Gouidis

Scalable Hierarchical Deep Neural Network for Time Series Analysis in Wearable Sensor-based Human Activity Recognition

Zahra Ghorrati

Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning

Lea Demelius

Towards Addressing Frontiers in Graph Generation

Alex O. Davies

Stress-Testing of Multimodal Models in Medical Image-Based Report Generation

Flávia Carvalhido, Henrique Lopes Cardoso, Vítor Cerqueira

Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human Robot Interactions

Kate Candon

De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization

Onur Boyar

Explanations for Multi-Agent Reinforcement Learning

Kayla Boggess

Scalable Solutions for Decision-Making Systems Using Explainable Policy Representations

Muqsit Azeem

Model AI Assignments 2025

Todd W. Neller, Rasika Bhalerao, Eun Kyung Ko, Vishodana Thamotharan, Lisa Zhang

Word2Vec4Kids: Interactive Challenges to Introduce Middle School Students to Word Embeddings

Nathan Wiatrek, Yash Verma, Fred Martin

AI Chef Trainer: Introducing Students to the Importance of Data in Machine Learning

Saniya Vahedian Movahed, Fred Martin

Learning to Think Like a Neuron in Middle School

David Touretzky, Christina Gardner-McCune, Will Hanna, Angela Chen, Neel Pawar

An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending

Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Mohammed Saqr, Sonsoles López-Pernas

What Can Youth Learn About Artificial Intelligence and Machine Learning in One Hour? Examining How Hour of Code Activities Address the Five Big Ideas of AI

Luis Morales-Navarro, Yasmin B. Kafai, Eric Yang, Asep Suryana

Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications

Luis Morales-Navarro, Yasmin B. Kafai, Lauren Vogelstein, Evelyn Yu, Danaë Metaxa

Supporting AI Literacy Teaching Through the Development of Assessments for Classroom Use

John Masla, Christina Bosch, Prerna Ravi, Lydia Guterman, Sarah Wharton

Fostering Epistemic Insights into AI Ethics through a Constructionist Pedagogy: An Interdisciplinary Approach to AI Literacy

Ziyan Lin, Yun Dai

A Versatile Low-Cost Kit for Teaching Novice Learners AI Using Robotics Components and a No-Code Development Playground

Anssi Lin, Anssi Salonen, Nicolas Pope, Henriikka Vartiainen, Matti Tedre

Shaping AI Interest in Rural Middle Schools with Unplugged Learning: Gender Differences and Teacher Insights

Hansol Lim, Danielle Boulden, Jessica Vandenberg, Veronica Cateté, Wookhee Min

“From Unseen Needs to Classroom Solutions”: Exploring AI Literacy Challenges & Opportunities with Project-Based Learning Toolkit in K-12 Education

Hanqi Li, Ruiwei Xiao, Hsuan Nieu, Ying-Jui Tseng, Guanze Liao

Empowering Educators in AI: Insights from Co-Designing an AI Microcredential with and for K-12 Educators

Nicole M. Hutchins, Shan Zhang, Joanne R. Barrett, Maya Israel

Smart Motor: A Low-Cost Hardware and Software Toolkit for Introducing Supervised Machine Learning to Elementary School Students

Tanushree Burman, Milan Dahal, Geling Xu, Chris Rogers, Jennifer Cross