AAAI

Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning

Bang Yang, Yong Dai, Xuxin Cheng, Yaowei Li, Asif Raza, Yuexian Zou

Comments Accepted by AAAI'2024, 15 pages (with appendix), 7 figures, 10 tables

One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training

Lianbo Ma, Yuee Zhou, Jianlun Ma, Guo Yu, Qing Li

Comments 9 pages, 13 figures,accepted by AAAI-24

Towards Generating Informative Textual Description for Neurons in Language Models

Shrayani Mondal, Rishabh Garodia, Arbaaz Qureshi, Taesung Lee, Youngja Park

Comments AAAI 2024

Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs

Stepan Tytarenko, Mohammad Ruhul Amin

Comments 8 pages, 3 figures, 5 tables, To be published in 2024 AAAI workshop on Responsible Language Models (ReLM)

Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priors

Yidou Weng, Finale Doshi-Velez

Comments 8 pages, 4 figures, AAAI-2024 workshops

Auto311: A Confidence-guided Automated System for Non-emergency Calls

Zirong Chen, Xutong Sun, Yuanhe Li, Meiyi Ma

Comments Accepted by AAAI-2024, Sub-Track: Social Impacts

Learning Hybrid Dynamics Models With Simulator-Informed Latent States

Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe

Comments Accepted at The 38th Annual AAAI Conference on Artificial Intelligence, 2024

Exact Inference for Continuous-Time Gaussian Process Dynamics

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe

Comments Accepted at The 38th Annual AAAI Conference on Artificial Intelligence. 2024

Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification

Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu

Comments Accepted by AAAI 2024, 11 pages, 3 figures

Rating-based Reinforcement Learning

Devin White, Mingkang Wu, Ellen Novoseller, Vernon J. Lawhern, Nicholas Waytowich, Yongcan Cao

Comments This is an extended version of the paper "Rating-based Reinforcement Learning" accepted to the 38th Annual AAAI Conference on Artificial Intelligence

Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling

Yuze Hao, Jianrong Zhang, Tao Zhuo, Fuan Wen, Hehe Fan

Comments Accepted to AAAI 2024

TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling

Longxiang Liu, Xiuxing Li, Yang Feng

Comments Accepted by AAAI 2024

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing

Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi

Comments Accepted at AAAI 24

Efficient Online Crowdsourcing with Complex Annotations

Reshef Meir, Viet-An Nguyen, Xu Chen, Jagdish Ramakrishnan, Udi Weinsberg

Comments full version of a paper accepted to AAAI'24

Towards LLM-guided Causal Explainability for Black-box Text Classifiers

Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu

Comments Camera-ready for AAAI ReLM 2024

Auditing Elon Musk's Impact on Hate Speech and Bots

Daniel Hickey, Matheus Schmitz, Daniel Fessler, Paul Smaldino, Goran Muric, Keith Burghardt

Comments 3 figures, 1 table. In Proceedings of the 17th International AAAI Conference on Web and Social Media (2023)

Journal ref Hickey, D., Schmitz, M., Fessler, D., Smaldino, P. E., Muric, G., & Burghardt, K. (2023). Auditing Elon Musk's Impact on Hate Speech and Bots. Proceedings of the International AAAI Conference on Web and Social Media, 17(1), 1133-1137

HORIZON: High-Resolution Semantically Controlled Panorama Synthesis

Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma

Comments AAAI 2024 main conference

Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering

Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent CS Lee

Journal ref Qin, Xiaoyu, et al. "Nearest-neighbour-induced isolation similarity and its impact on density-based clustering." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. No. 01. 2019

Query Complexity of Tournament Solutions

Arnab Maiti, Palash Dey

Comments Short version appeared in AAAI. Full version with new results will appear in Theoretical Computer Science journal

LongFin: A Multimodal Document Understanding Model for Long Financial Domain Documents

Ahmed Masry, Amir Hajian

Comments Accepted at AAAI 2024 Workshop on AI in Finance for Social Impact

PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus

Florian Kluger, Bodo Rosenhahn

Comments AAAI 2024

Efficient Constraint Generation for Stochastic Shortest Path Problems

Johannes Schmalz, Felipe Trevizan

Comments Extended version of AAAI 2024 paper

Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples

Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao

Comments Accepted by AAAI-2024

Efficiently Quantifying Individual Agent Importance in Cooperative MARL

Omayma Mahjoub, Ruan de Kock, Siddarth Singh, Wiem Khlifi, Abidine Vall, Kale-ab Tessera, Arnu Pretorius

Comments 8 pages, AAAI XAI4DRL workshop 2023; references updated, figure 8 style updated, typos

How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning

Siddarth Singh, Omayma Mahjoub, Ruan de Kock, Wiem Khlifi, Abidine Vall, Kale-ab Tessera, Arnu Pretorius

Comments 6 pages, AAAI XAI4DRL workshop 2023; typos corrected, images updated, page count updated

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

Zhenyu Li, Sunqi Fan, Yu Gu, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang

Comments Accepted as AAAI-24 Oral paper; Knowledge Base Question Answering; Large Language Model; Data Generation; Few-Shot & Zero-Shot

Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs

Marcel Wienöbst, Benito van der Zander, Maciej Liśkiewicz

Comments Extended version of paper accepted to the Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-2024)

Modification-Fair Cluster Editing

Vincent Froese, Leon Kellerhals, Rolf Niedermeier

Comments AAAI 2022

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing

Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Comments AAAI2024, with supplementary material

Journal ref 38th AAAI Conference on Artificial Intelligence (AAAI2024), Vancouver, BC, Canada, 2024

Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals

Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan

Comments 9 pages, 2 figures, 3 tables, Accepted to The Thirty-Sixth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI/AAAI-24)