AAAI

Mechanistic Understanding of Language Models in Syntactic Code Completion

Samuel Miller, Daking Rai, Ziyu Yao

Comments 10 pages, 4 figures, accepted to the AAAI 2025 Workshop on Towards Knowledgeable Foundation Models

Disrupt Your Research Using Generative AI Powered ScienceSage

Yong Zhang, Eric Herrison Gyamfi, Kelly Anderson, Sasha Roberts, Matt Barker

Comments This paper has been accepted by Workshop of Deployable AI at AAAI 2025

SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch

Shengyu Feng, Yiming Yang

Comments AAAI 2025

RouterRetriever: Routing over a Mixture of Expert Embedding Models

Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo

Comments published at AAAI 2025

Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models

Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

Comments To be published in AAAI 2025 (Oral)

Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems

Zhuohui Zhang, Bin He, Bin Cheng, Gang Li

Comments 9 pages, 7 figures

Journal ref The 39th AAAI Conference on Artificial Intelligence (AAAI 2025)

Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network

Xinyi Zhang, Qiqi Bao, Qinpeng Cui, Wenming Yang, Qingmin Liao

Comments This work has been accepted by AAAI 2025

Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models

Joshua Strong, Qianhui Men, Alison Noble

Comments AAAI-AISI 2025

Confounding-Robust Policy Improvement with Human-AI Teams

Ruijiang Gao, Mingzhang Yin

Comments AAAI 25

The Gradient of Algebraic Model Counting

Jaron Maene, Luc De Raedt

Comments Published at AAAI 2025

MindMem: Multimodal for Predicting Advertisement Memorability Using LLMs and Deep Learning

Sepehr Asgarian, Qayam Jetha, Jouhyun Jeon

Comments 7 pages, 5 figures, 4 Tables, AAAI 2025 Economics of Modern ML: Markets, Incentives, and Generative AI Workshop

BRIDO: Bringing Democratic Order to Abstractive Summarization

Junhyun Lee, Harshith Goka, Hyeonmok Ko

Comments 13 pages, 1 figure; AAAI-25 Workshop on PDLM camera ready

Iterative Counterfactual Data Augmentation

Mitchell Plyler, Min Chi

Comments AAAI 2025

HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost Accelerometers

Yifeng Wang, Yi Zhao

Comments AAAI Oral; AI for Sensors; Generative Deep Learning

A Framework for Evaluating Vision-Language Model Safety: Building Trust in AI for Public Sector Applications

Maisha Binte Rashid, Pablo Rivas

Comments AAAI 2025 Workshop on AI for Social Impact: Bridging Innovations in Finance, Social Media, and Crime Prevention

Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter

Junhao Chen, Bowen Wang, Zhouqiang Jiang, Yuta Nakashima

Comments 7 pages, 4 figures, 5 tables and accepted at AAAI 2025 Main Conference

Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality

Qitong Wang, Tang Li, Kien X. Nguyen, Xi Peng

Comments In Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI), 2025

On the Relationship Between Monotone and Squared Probabilistic Circuits

Benjie Wang, Guy Van den Broeck

Comments AAAI 2025

Learning production functions for supply chains with graph neural networks

Serina Chang, Zhiyin Lin, Benjamin Yan, Swapnil Bembde, Qi Xiu, Chi Heem Wong, Yu Qin, Frank Kloster, Alex Luo, Raj Palleti, Jure Leskovec

Comments This is the extended version of a paper accepted to AAAI 2025, AI for Social Impact Track (oral)

Accurate estimation of feature importance faithfulness for tree models

Mateusz Gajewski, Adam Karczmarz, Mateusz Rapicki, Piotr Sankowski

Comments Accepted to AAAI 2025 Main Technical Track

Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing

Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye

Comments AAAI 2025; Project Page: https://cit-llm-routing.github.io

Sarang at DEFACTIFY 4.0: Detecting AI-Generated Text Using Noised Data and an Ensemble of DeBERTa Models

Avinash Trivedi, Sangeetha Sivanesan

Comments AAAI-25 DEFACTIFY 4.0 Workshop AI generated text detection (1st Rank)

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines

Xinwei Long, Zhiyuan Ma, Ermo Hua, Kaiyan Zhang, Biqing Qi, Bowen Zhou

Comments AAAI-25

Interacted Object Grounding in Spatio-Temporal Human-Object Interactions

Xiaoyang Liu, Boran Wen, Xinpeng Liu, Zizheng Zhou, Hongwei Fan, Cewu Lu, Lizhuang Ma, Yulong Chen, Yong-Lu Li

Comments To be published in the Proceedings of AAAI 2025. The first three authors contributed equally. Project: https://github.com/DirtyHarryLYL/HAKE-AVA

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy

Hyunjin Seo, Kyusung Seo, Joonhyung Park, Eunho Yang

Comments Accepted at AAAI 2025

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach

Hang Gao, Chenhao Zhang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu

Comments Accepted by AAAI 2025

Aligning Language Models Using Follow-up Likelihood as Reward Signal

Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li

Comments Accepted by AAAI-2025, 16 pages, reward model, LLM Alignment, code repository at (https://github.com/e0397123/FLR)

WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents

Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Shiyu Huang, Lijie Wen, Irwin King, Philip S. Yu

Comments NAACL 2025 Findings; AAAI PDLM Workshop (Oral)

Unlocking the Power of LSTM for Long Term Time Series Forecasting

Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen

Comments Accepted by 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)

Metric Distortion of Line-up Elections: The Right Person for the Right Job

Christopher Jerrett, Yue Han, Elliot Anshelevich

Comments Accepted to AAAI 2025