AAAI 2025

3,486 papers

ClinicalRAG: Automating Pharmaceutical Label Quality Control with Hierarchical RAG and Large Language Models

Qiaohui Zhou, Zhongliang Zhou, Michael Johnson, Michelle Ngo, Federico Ferrari

SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning

Yuze Zhao, Jintao Huang, Jinghan Hu, Xingjun Wang, Yunlin Mao

MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs

Tianyang Zhang, Zhuoxuan Jiang, Haotian Zhang, Lin Lin, Shaohua Zhang

A Multi-Style Chinese Characters Writing Intelligent Tool Based on Small-scale Training Data

Zhen Zeng, Jie Wang, Xi Lyu

SummPilot: Bridging Efficiency and Customization for Interactive Summarization System

JungMin Yun, Juhwan Choi, Kyohoon Jin, Soojin Jang, Jinhee Jang

Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model

Peng Yuan, LuAn Tang, Yanchi Liu, Kobayashi Yuji, Moto Sato

RLLTE: Long-Term Evolution Project of Reinforcement Learning

Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li

AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation

Kuizong Wu, Shaozu Yuan, Chang Shen, Long Xu, Meng Chen

Real-Time Object Detection and Skeletonization for Motion Prediction in Video Streaming

Gavin Wong, Yulia Kumar, J.Jenny Li, Dov Kruger

PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning

Shresth Verma, Alayna Nguyen, Niclas Boehmer, Lingkai Kong, Milind Tambe

TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and Logic

Stylianos Loukas Vasileiou, William Yeoh

Agentic AI for Digital Twin

Alexander Timms, Abigail Langbridge, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari

MerryQuery: A Trustworthy LLM-Powered Tool Providing Personalized Support for Educators and Students

Benyamin Tabarsi, Aditya Basarkar, Xukun Liu, Dongkuan (DK) Xu, Tiffany Barnes

SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data

Errikos Streviniotis, George Klioumis, Nikos Giatrakos

Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters

Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutierrez

StarVector: Generating Scalable Vector Graphics Code from Images and Text

Juan A. Rodriguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Sai Rajeswar

Accessible Hardware Implementation for Multi-Agent Collective Construction

Martin Rameš, Pavel Surynek

GODDS: The Global Online Deepfake Detection System

Marco Postiglione, Julian Baldwin, Natalia Denisenko, Luke Fosdick, Chongyang Gao

MicroFiberDetect: An Application for the Detection of Microfibres in Wastewater Sludge Based on CNNs

Félix Martí Pérez, Ana Domínguez-Rodríguez, Cesar Ferri, Carlos Monserrat

SDAS: Semantic Data Acquisition System for Minimizing Redundancy and Maximizing Diversity

Yeseung Park, Hyunse Yoon, Jungwoo Huh, Jungsu Kim, Jeongwook Choi

Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement

Derek Palmer, Yifan Zhu, Kenneth Lai, Hannah VanderHoeven, Mariah Bradford

ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant

John Murzaku, Zifan Liu, Vaishnavi Muppala, Md Mehrab Tanjim, Xiang Chen

QGen Studio: An Adaptive Question-Answer Generation, Training and Evaluation Platform

Movina Moses, Mohab Elkaref, James Barry, Shinnosuke Tanaka, Vishnudev Kuruvanthodi

Bidirectional Human-AI Learning in Real-Time Disoriented Balancing

Sheikh Mannan, Nikhil Krishnaswamy

Question-guided Insights Generation for Automated Exploratory Data Analysis

Abhijit Manatkar, Ashlesha Akella, Krishnasuri Narayanam, Sameep Mehta

Pic2Prep: A Multimodal Conversational Agent for Cooking Assistance

Renjith Prasad Kaippilly Mana, Chathurang Shyalika, Revathy Venkataramanan, Darssan L. Eswaramoorthi, Amit P. Sheth

An Automated Explainable Educational Assessment System Built on LLMs

Jiazheng Li, Artem Bobrov, David West, Cesare Aloisi, Yulan He

LLM Attributor: Interactive Visual Attribution for LLM Generation

Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, ShengYun Peng

Rewind and Render: Towards Factually Accurate Text-to-Video Generation with Distilled Knowledge Retrieval

Daniel Lee, Arjun Chandra, Yang Zhou, Yunyao Li, Simone Conia

SPASCA: Social Presence and Support with Conversational Agent for Persons Living with Dementia

Ali Köksal, Jingjing Gu, Kotaro Hara, Jing Jiang, Joo-Hwee Lim

MAFT: Multimodal Automated Fact-Checking via Textualization

Kazuya Kakizaki, Yuto Matsunaga, Ryo Furukawa

An LLM-Guided Tutoring System for Social Skills Training

Michael Guevarra, Indronil Bhattacharjee, Srijita Das, Christabel Wayllace, Carrie Demmans Epp

MATWA: A Web Toolkit for Matching Under Preferences

Frederik Glitzner, David Manlove

EvalAssist: LLM-as-a-Judge Simplified

Michael Desmond, Zahra Ashktorab, Werner Geyer, Elizabeth M. Daly, Martín Santillán Cooper

Agent Trajectory Explorer: Visualizing and Providing Feedback on Agent Trajectories

Michael Desmond, Ja Young Lee, Ibrahim Ibrahim, James M. Johnson, Avirup Sil

Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields

David Debot, Gabriele Venturato, Giuseppe Marra, Luc De Raedt

Usage Governance Advisor: From Intent to AI Governance

Elizabeth M. Daly, Seshu Tirupathi, Sean Rooney, Inge Vejsbjerg, Dhaval Salwala

TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models

Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang

Falcon Medical Visual Question Answering

Ameera Bawazir, Hassan Alshanqiti, Kebin Wu, Fatima Albreiki

InstantPainting: Expanding GANs for Efficient Text-Conditioned Image Generation Platform

Bing-Kun Bao, Yefei Sheng, Jie Wang, Yaning Li, Sisi You

Data Wrangling Task Automation Using Code-Generating Language Models

Ashlesha Akella, Krishnasuri Narayanam

Pancreatic Cancer Diagnosis System

Zijian Zhang

AI-Driven Personalized Fall Prevention for Older Adults

Katherine Xu

Using Machine Learning to Improve Research in the Agriculture Industry

Devin Wingfield

Optimal Viewpoint Selection for Autonomous Photography Using Reinforcement Learning

Anna Serbina

Visual Question Answering for Peruvian Cuisine in Regional Spanish

Mariana Risco Cosavalente

Exploring Topological Properties in Artificial Neural Networks

Sophia Pi

Truth Behind the Scene: Designing Evaluations Benchmarks to Assess LLMs’ Task-Specific Understanding over Test-Taking Strategies

Thao Pham

Giving Cars Eyes: Using Computer Vision to Prevent Road Traffic Accidents in Nigeria

Chidiogo Nwabuike

Knowledge-Infused Learning for Developing a Mental Health Diagnostic Copilot in Healthcare Systems

Gerald Ketu Ndawula

Diffusion Models for Robotics

Jessica E. Liang

A Deep Learning Method for Document Shadow Removal with Sobel Prior under Mask Supervision

Jiarui Li

Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model

Gautam Jajoo

AI-Driven Multicultural Identity Preservation

Iteoluwa Ibitoye

Weapon Activity Recognition

Kennedy Hecker

Exploring and Mitigating Implicit Bias in Large Language Models: A Cross-Domain Evaluation Framework

Precious Donkor

Does Knowing More Make You Easier to Trick? Adversarial Robustness of Multi-Target Regression

Soyon Choi

Utilizing Vision-Language Models for Detection of Leaf-Based Diseases in Tomatoes

James Blossom Eleojo

Enhancing Predictive Healthcare Using AI-Driven Early Warning Systems

Hunnain Arsalan

Personalized Learning in Action: Exploring AI and Robotics for Early Childhood Education

Nicholas Abram

Efficient Image Similarity Search with Quadtrees (Student Abstract)

Yifan Zhang, Jeff Heflin

Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)

Tianyu Zhan, Zheqi Lv, Shengyu Zhang, Jiwei Li

Understanding Unique Behavioral Patterns through Multimodal Analysis of Eye-Hand Coordination in Autistic Children (Student Abstract)

Emily Yu

Understanding Annotator Perception: Modeling Psychological Inference from First- and Third-Person Annotations (Student Abstract)

Gerard Christopher Yeo, Kokil Jaidka

Multimodal Commonsense Knowledge Distillation for Visual Question Answering (Student Abstract)

Shuo Yang, Siwen Luo, Soyeon Caren Han

Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract)

Enshuo Yan, Huachuan Wang, Weihao Xia

A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract)

Xiaoqing Xu, Jiaming Pei, Lukun Wang

UACOF: A USV-AUV Collaboration Framework for Underwater Tasks Under Extreme Sea Conditions (Student Abstract)

Jingzehua Xu, Guanwen Xie, Yimian Ding, Yongming Zeng, Haoyu Wang

ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract)

Guanwen Xie, Jingzehua Xu, Yiyuan Yang, Yimian Ding, SHUAI ZHANG

Linear Decoding of Morphology Relations in Language Models (Student Abstract)

Eric Xia, Jugal Kalita

Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)

Piotr Wyrwiński, Krzysztof Krawiec

An Evaluation of Approaches to Train Embeddings for Logical Inference (Student Abstract)

Yasir White, Jevon Lipsey, Jeff Heflin

Extended LSTMs for Knowledge Tracing: Peeking Inside the Black Box (Student Abstract)

Deliang Wang, Yu Lu, Gaowei Chen

Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract)

Guihong Wan, Ninghui Hao, Crystal Maung, Haim Schweitzer, Chen Zhao

An Expert System for Danish Traffic Law Cases (Student Abstract)

Jonas Vistrup

When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract)

Diana Vins, Jean Erik Delanois, Maxim Bazhenov

When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract)

Supriti Vijay, Aman Priyanshu, Ashiqur R. KhudaBukhsh

Training Recurrent Neural Networks with Inherent Missing Data for Wearable Device Applications (Student Abstract)

Sutashu Tomonaga, Haruo Mizutani, Kenji Doya

Sequential Order Adjustment of Action Decisions for Multi-Agent Transformer (Student Abstract)

Shota Takayama, Katsuhide Fujita

Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract)

Zhihang Sun, Shuhan Qi, Xinhao Huang, Xinyu Xiao, Jiajia Zhang

Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract)

Huifang Sun, Jiaming Pei, Lukun Wang

Network Inversion of Convolutional Neural Nets (Student Abstract)

Pirzada Suhail, Amit Sethi

LAqua: Laplacian Pyramids for Aquatic Segmentation (Student Abstract)

Laven Srivastava, Ishaan Gakhar

Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract)

Shovito Barua Soumma, Abdullah Mamun, Hassan Ghasemzadeh

ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract)

Kartik Singhal, Gautam Shroff

Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract)

Dong Shu, Mengnan Du

Combating Phone Scams with LLM-based Detection: Where Do We Stand? (Student Abstract)

Zitong Shen, Kangzhong Wang, Youqian Zhang, Grace Ngai, Eugene Yujun Fu

Generative Flow Networks for Lead Optimization in Drug Design (Student Abstract)

Akshat Santhana Gopalan, Sowmya Ramaswamy Krishnan

Hide Exposures by Removing Mastermind’s External Sources on Social Network (Student Abstract)

Nilanjana Saha, Narayan Changder, Redha Taguelmimt, Samir Aknine, Animesh Dutta

Hybrid Quantum-Classical Style Transfer (Student Abstract)

Emily Jimin Roh, Joo Yong Shim, Soohyun Park, Joongheon Kim

Enhancing Detection of Relationship Abuse in Text with Multi-task Learning (Student Abstract)

Caroline Rinks

A Hybrid Framework for Airfoil Optimization: Combining PINNs and Genetic Algorithm (Student Abstract)

Shubhanshu Rao, Gaurav Kumar, Martin Agelin-Chaab

LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract)

Dayu Qin, Yi Yan, Ercan Engin Kuruoglu

Entity Only vs. Inline Approaches: Evaluating LLMs for Adverse Drug Event Detection in Clinical Text (Student Abstract)

Howard Prioleau, Saurav Aryal

Acoustic-to-Hyper-Spectral: Hyper-Spectral Image Construction from Frequency Spectrums Through Simulated Annealing (Student Abstract)

Ruth-Emely Pierau, Alaster Meehan, Hamid Rezatofighi, Peter J. Stuckey

Enhancing Molecular Representation Learning Through the Combination of 3D and 2D Graph Machine Learning (Student Abstract)

Ian Tong Pan, Joseph D. Romano

Exploring the Impact of Age and Class Level on Emotional Perception: A Study of Nigerian Secondary School Girls Using the Reading the Mind in the Eyes Test (Student Abstract)

Christianah Titilope Oyewale, Rafiat M. Bamimore Akodu, Faith Adeoluwa Adeyemi

Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling (Student Abstract)

Rongxin Ouyang, Kokil Jaidka, Subhayan Mukerjee, Guangyu Cui

A Modal Logic of Optimality (Student Abstract)

James T. Oswald, Brandon Rozek, Thomas Macaulay Ferguson, Selmer Bringsjord

Counterfactual Explanations of Time Varying Rankings (Student Abstract)

Ryusei Ohtani, Yuko Sakurai, Satoshi Oyama