JAIR 2025

130 papers

A Complexity-Theoretic Analysis of Majority Illusion in Social Networks Umberto Grandi, Lawqueen Kanesh, Grzegorz Lisowski, M. S. Ramanujan, Paolo Turrini
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A Divide, Align and Conquer Strategy for Program Synthesis Jonas Witt, Sebastijan Dumancic, Tias Guns, Claus-Christian Carbon
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A Framework for Belief-Based Programs and Their Verification Daxin Liu, Gerhard Lakemeyer
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A New Literature Review of 3D Object Detection on Autonomous Driving Peng Zhang, Xin Li, Xin Lin, Liang He
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A New Regret-Analysis Framework for Budgeted Multi-Armed Bandits Evan Yifan Xu, Pan Xu
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A Portfolio Approach to Massively Parallel Bayesian Optimization Mickaël Binois, Nicholson T. Collier, Jonathan Ozik
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A Query-Based Constraint Acquisition Approach for Enhanced Precision in Program Precondition Inference Grégoire Menguy, Sébastien Bardin, Arnaud Gotlieb, Nadjib Lazaar
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A Selective Under-Sampling (SUS) Method for Imbalanced Regression Jovana Aleksic, Miguel García-Remesal
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A Survey on Data Selection for LLM Instruction Tuning Bolin Zhang, Jiahao Wang, Qianlong Du, Jiajun Zhang, Zhiying Tu, Dianhui Chu
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A Unifying Framework for Causal Modeling with Infinitely Many Variables Spencer Peters, Joseph Y. Halpern
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Adaptive Few-Shot Class-Incremental Learning via Latent Variable Models Tameem Adel
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Against the Achilles' Heel: A Survey on Red Teaming for Generative Models Lizhi Lin, Honglin Mu, Zenan Zhai, Minghan Wang, Yuxia Wang, Renxi Wang, Junjie Gao, Yixuan Zhang, Wanxiang Che, Timothy Baldwin, Xudong Han, Haonan Li
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Agentic Large Language Models, a Survey Aske Plaat, Max J. van Duijn, Niki van Stein, Mike Preuss, Peter van der Putten, Kees Joost Batenburg
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AI for All: Identifying AI Incidents Related to Diversity and Inclusion Rifat Ara Shams, Didar Zowghi, Muneera Bano
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AI Governance in the GCC States: A Comparative Analysis of National AI Strategies Mohammad Rashed Albous, Odeh Rashed Al-Jayyousi, Melodena Stephens
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AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions Jakob Schöffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger
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An Extensive Empirical Evaluation of Inferring Preconditions and Effects of Compound Tasks in Ground HTN Planning Problems Conny Olz, Alexander Lodemann, Benedikt Jutz, Mario Schmautz, Maximilian Borowiec, Susanne Biundo, Pascal Bercher
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An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip H. S. Torr
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An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty Roman Andriushchenko, Milan Ceska, Filip Macák, Sebastian Junges, Joost-Pieter Katoen
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Approximate Implication for Probabilistic Graphical Models Batya Kenig
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Argumentative Reasoning in ASPIC+ Under Incomplete Information Daphne Odekerken, Tuomo Lehtonen, Johannes Peter Wallner, Matti Järvisalo
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Banal Deception and Human-AI Ecosystems: A Study of People's Perceptions of LLM-Generated Deceptive Behaviour Xiao Zhan, Yifan Xu, Noura Abdi, Joe Collenette, Stefan Sarkadi
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CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization Frederic Kirstein, Jan Philip Wahle, Bela Gipp, Terry Ruas
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Causal Explanations for Sequential Decision Making Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein
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Causal Graphs and Fairness in Machine Learning: Addressing Practical Challenges in Causal Fairness Evaluation Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt
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Certified Knowledge Compilation with Application to Formally Verified Model Counting Randal E. Bryant, Wojciech Nawrocki, Jeremy Avigad, Marijn J. H. Heule
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CluMo: Cluster-Based Modality Fusion Prompt for Continual Learning in Visual Question Answering Yuliang Cai, Mohammad Rostami
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Collective Intelligence in Decision-Making with Non-Stationary Experts Axel Abels, Vito Trianni, Ann Nowé, Tom Lenaerts
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Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective Xiaosong Chen, Hanqin Zhuang, Yang Liu, Huanle Xu, Wing Cheong Lau
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Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities Quentin Cappart, Tias Guns, Michele Lombardi, Gilles Pesant, Dimos Tsouros
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Comparison of SAT-Based and ASP-Based Algorithms for Inconsistency Measurement Isabelle Kuhlmann, Anna Gessler, Vivien Laszlo, Matthias Thimm
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Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning Geraud Nangue Tasse, Steven James, Benjamin Rosman
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Computational Machine Ethics: A Survey Tammy Zhong, Yang Song, Raynaldio Limarga, Maurice Pagnucco
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Conditional Relative Frequency Distributions with Undefined Observations and Generalized Fuzzy Orthopartitions Stefania Boffa, Davide Ciucci
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Confidence-Based Estimators for Predictive Performance in Model Monitoring Juhani Kivimäki, Jukka K. Nurminen, Jakub Bialek, Wojtek Kuberski
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ConSCompF: Consistency-Focused Similarity Comparison Framework for Generative Large Language Models Alexey Karev, Dong Xu
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Control by Adding or Deleting Edges in Graph-Restricted Weighted Voting Games Joanna Kaczmarek, Jörg Rothe, Nimrod Talmon
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Correct Explanations and How to Define Them: Properties and Metrics for Measuring Correctness of Three Forms of ML Model Input/Output Behaviour Explanations Vandita Singh, Kristijonas Cyras, Muhammad Zain Akram, Rafia Inam
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Counterfactual Situation Testing: From Single to Multidimensional Discrimination José M. Álvarez, Salvatore Ruggieri
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CPM-Based Hierarchical Text Classification Biqing Zeng, Yihao Peng, Jichen Yang, Peilin Hong, Junjie Liang
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Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey Zijun Gao, Haibao Liu, Lingbo Li
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Decentralized, Decomposition-Based Observation Scheduling for a Large-Scale Satellite Constellation Itai Zilberstein, Ananya Rao, Matthew Salis, Steve A. Chien
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Defensive Alliances in Signed Networks Emmanuel Arrighi, Zhidan Feng, Henning Fernau, Kevin Mann, Xingqin Qi, Petra Wolf
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Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods Kathleen C. Fraser, Hillary Dawkins, Svetlana Kiritchenko
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Detecting Generative Model Inversion Attacks for Protecting Intellectual Property of Deep Neural Networks Yiding Yu, Wei Zong, Wenjing Su, Yang-Wai Chow, Willy Susilo
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DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning Xiaoteng Ma, Junyao Chen, Li Xia, Jun Yang, Qianchuan Zhao, Zhengyuan Zhou
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Efficient Ontology-Mediated Query Answering: Extending DL-liteR and Linear ELH Mirko Michele Dimartino, Peter T. Wood, Andrea Calì, Alexandra Poulovassilis
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Efficient XAI: A Low-Cost Data Reduction Approach to SHAP Interpretability Severin Bachmann
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Empirical Game Theoretic Analysis: A Survey Michael P. Wellman, Karl Tuyls, Amy Greenwald
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Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model Chuyuan Wei, Ke Duan, Shengda Zhuo, Hongchun Wang, Shuqiang Huang, Jie Liu
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EPINN: Enhanced Physics-Informed Neural Network for Solving Continuous Integral Equations Zhiyuan Ren, Shijie Zhou, Dong Liu, Qihe Liu
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Existence, Computation and Efficiency of Nash Stable Outcomes in Hedonic Skill Games Laurent Gourvès, Gianpiero Monaco
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Explainability via Short Formulas: The Case of Propositional Logic with Implementation Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto, Masood Feyzbakhsh Rankooh, Miikka Vilander
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Finding Minimal Plan Reductions Using Classical Planning Mauricio Salerno, Raquel Fuentetaja, Jendrik Seipp
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Forgetting in Abstract Argumentation: Limits and Possibilities Ringo Baumann, Matti Berthold, Dov M. Gabbay, Odinaldo Rodrigues
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From Expert Systems to Generative Artificial Experts: A New Concept for Human-AI Collaboration in Knowledge Work Konrad Sowa, Aleksandra Przegalinska
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From Knowledge to Action: Logics of Permitted and Obligatory Announcements Xu Li, Guillaume Aucher, Dov M. Gabbay, Réka Markovich
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Generalizing the Regret: An Analysis of Lower and Upper Bounds Marco Mussi, Alberto Maria Metelli
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Generating Streamlining Constraints with Large Language Models Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
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Generative Curricula for Multi-Agent Path Finding via Unsupervised and Reinforcement Learning Thomy Phan, Timy Phan, Sven Koenig
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Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Moser
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Graph Collaborative Filtering Model Combining Time Factor and Attention Mechanism Xianglin Zuo, Xin He, Tianhao Jia, Ying Wang
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Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning Weiye Zhao, Feihan Li, Tairan He, Changliu Liu
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Improved Regret Bounds for Bandits with Expert Advice Nicolò Cesa-Bianchi, Khaled Eldowa, Emmanuel Esposito, Julia Olkhovskaya
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Improving and Understanding the Power of Satisfaction-Driven Clause Learning Albert Oliveras, Chunxiao Li, Darryl Wu, Jonathan Chung, Vijay Ganesh
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Improving Label Error Detection and Elimination with Uncertainty Quantification Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger
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Improving Local Search Algorithm for Pseudo Boolean Optimization Yujiao Zhao, Yiyuan Wang, Yi Chu, Wenbo Zhou, Shaowei Cai, Minghao Yin
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Improving Mutual Information Based Feature Selection by Boosting Unique Relevance Shiyu Liu, Mehul Motani
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Incremental Learning Methodologies for Addressing Catastrophic Forgetting: Analysis and Experimental Evaluation Miquel Serra-Perello, Alberto Ortiz
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Invariant Graph Propagation in Constraint-Based Local Search Frej Knutar Lewander, Pierre Flener, Justin Pearson
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LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking Yan Yan, Junyuan Liu, Bo-Wen Zhang
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Laplace-HDC: Understanding the Geometry of Binary Hyperdimensional Computing Saeid Pourmand, Wyatt D. Whiting, Alireza Aghasi, Nicholas F. Marshall
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Learning How to Vote with Principles: Axiomatic Insights into the Collective Decisions of Neural Networks Levin Hornischer, Zoi Terzopoulou
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MA-LAMA: Exploiting the Multi-Agent Nature of Temporal Planning Problems J. Caballero Testón, María D. R.-Moreno
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MAT2I: Enhancing Perceptual Authenticity in Text-to-Image Synthesis Using Multi-Attribute Generative Adversarial Networks Varsha Singh, Vijai Singh, Uma Shanker Tiwary
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Maximal Combinations of Fairness Definitions MaryBeth Defrance, Tijl De Bie
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Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks Paul Smolensky, Roland Fernandez, Zhenghao Herbert Zhou, Mattia Opper, Adam Davies, Jianfeng Gao
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Monitoring Teams of AI Agents Korok Ray
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MRC and Transfer Learning Framework for Document-Level Event Factuality Identification with Heterogeneous Spectral Attention Networks Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou
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Multi-Leader Congestion Games with an Adversary Tobias Harks, Mona Henle, Max Klimm, Jannik Matuschke, Anja Schedel
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On a Simple Hedonic Game with Graph-Restricted Communication Vittorio Bilò, Laurent Gourvès, Jérôme Monnot
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On CNF Conversion for SAT and SMT Enumeration Gabriele Masina, Giuseppe Spallitta, Roberto Sebastiani
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On Computing Probabilistic Explanations for Decision Trees Marcelo Arenas, Pablo Barceló, Alexander Kozachinskiy, Miguel Romero, Bernardo Subercaseaux
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On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios Stylianos Loukas Vasileiou, William Yeoh, Alessandro Previti, Tran Cao Son
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On the Consistency Between Belief Revision and Belief Update Theofanis I. Aravanis
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On the Equivalence Between Logic Programs and Bipolar Argumentation Frameworks João F. L. Alcântara, Renan Cordeiro
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On the Phase Transition of the Euclidean Travelling Salesman Problem with Time Windows Omar Rifki, Christine Solnon
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Optimal Decision Trees for Interpretable and Constrained Clustering Pouya Shati, Yuliang Song, Eldan Cohen, Sheila A. McIlraith
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Optimizing Relevance and Diversity in Online Matching Markets: A Time-Adaptive Attenuation Approach Evan Yifan Xu, Pan Xu
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PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime Andrés R. Masegosa, Luis A. Ortega
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Parameterized Analysis of Bribery in Challenge the Champ Tournaments Juhi Chaudhary, Hendrik Molter, Meirav Zehavi
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Path-Planning on a Spherical Surface with Disturbances and Exclusion Zones Jonathan D. Smith, Samuel Hall, George Coombs, Harrison Abbot, Ayat Fekry, Michael A. S. Thorne, Derek Long, Maria Fox
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Policy-Based Primal-Dual Methods for Concave CMDP with Variance Reduction Donghao Ying, Mengzi Amy Guo, Hyunin Lee, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen
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Practical Parallel Algorithms for Non-Monotone Submodular Maximization Shuang Cui, Kai Han, Jing Tang, Xueying Li, Aakas Zhiyuli, Hanxiao Li
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Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey Genta Indra Winata, Hanyang Zhao, Anirban Das, Wenpin Tang, David D. Yao, Shi-Xiong Zhang, Sambit Sahu
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Principles for Assumptions Generation in Enthymeme-Based Dialogue Diego S. Orbe Leiva, Alejandro Javier García, Sebastian Gottifredi
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Principles for Responsible AI Consciousness Research Patrick Butlin, Theodorus Lappas
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Prioritised Planning: Completeness, Optimality, and Complexity Jonathan Morag, Yue Zhang, Daniel Koyfman, Zhe Chen, Ariel Felner, Daniel Harabor, Roni Stern
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Probabilistically Tightened Linear Relaxation-Based Perturbation Analysis for Neural Network Verification Luca Marzari, Ferdinando Cicalese, Alessandro Farinelli
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Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research Eleonora Mancini, Ana Tanevska, Andrea Galassi, Alessio Galatolo, Federico Ruggeri, Paolo Torroni
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Prosociality in Microtransit Divya Sundaresan, Akhira Watson, Eleni Bardaka, Crystal Chen Lee, Christopher B. Mayhorn, Munindar P. Singh
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Reasoning About Decidability of Strategic Logics with Imperfect Information and Perfect Recall Strategies Davide Catta, Angelo Ferrando, Vadim Malvone
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Reasoning over Streams of Events with Delayed Effects Periklis Mantenoglou, Manolis Pitsikalis, Alexander Artikis
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Recency-Weighted Temporally-Segmented Ensemble for Time Series Modeling Pål V. Johnsen, Eivind Bøhn, Sølve Eidnes, Filippo Remonato, Signe Riemer-Sørensen
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Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models Kaleem Ullah Qasim, Jiashu Zhang, Tariq Alsahfi, Ateeq Ur Rehman Butt
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Regret Analysis for Randomized Gaussian Process Upper Confidence Bound Shion Takeno, Yu Inatsu, Masayuki Karasuyama
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Robust Reward Design for Markov Decision Processes Shuo Wu, Haoxiang Ma, Jie Fu, Shuo Han
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Robustness Distributions in Neural Network Verification Annelot W. Bosman, Aaron Berger, Holger H. Hoos, Jan N. van Rijn
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Rumor Detection with Adaptive Data Augmentation and Adversarial Training Ying Wang, Fuyuan Ma, Zhaoqi Yang, Yaodi Zhu, Bo Yang, Pengfei Shen, Lei Yun
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Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis Yujie Yang, Hanjiang Hu, Tianhao Wei, Shengbo Eben Li, Changliu Liu
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Scaling Safe Policy Improvement: Monte Carlo Tree Search and Policy Iteration Strategies Federico Bianchi, Alberto Castellini, Edoardo Zorzi, Thiago D. Simão, Matthijs T. J. Spaan, Alessandro Farinelli
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Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation Xinyan Wang, Jinshuo Liu, Juan Deng, Meng Wang, Qian Deng, Youcheng Yan, Lina Wang, Yunsong Ma, Jeff Z. Pan
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Solving Overlapping Coalition Structure Generation in Task-Based Settings Guofu Zhang, Zhaopin Su, Xiaoxiao Song, Zixuan Gao, Miqing Li, Xin Yao
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Spatio-Causal Patterns of Sample Growth Andre F. Ribeiro
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Stability in Online Coalition Formation Martin Bullinger, René Romen
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Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training Jatin Kumar Chaudhary, Dipak Kumar Nidhi, Jukka Heikkonen, Harri Merisaari, Rajiv Kanth
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Symbolic Search for Cost-Optimal Planning with Expressive Model Extensions David Speck, Jendrik Seipp, Álvaro Torralba
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TabID: Automatic Identification and Tabulation of Subproblems in Constraint Models Özgür Akgün, Ian P. Gent, Christopher Jefferson, Zeynep Kiziltan, Ian Miguel, Peter Nightingale, András Z. Salamon, Felix Ulrich-Oltean
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The Complexity of Pure Maxmin Strategies in Two-Player Extensive-Form Games Junkang Li, Bruno Zanuttini, Véronique Ventos
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The Fixed-Point Semantics of Relational Concept Analysis Jérôme Euzenat
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The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents Omer Madmon, Idan Pipano, Itamar Reinman, Moshe Tennenholtz
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Thousands of AI Authors on the Future of AI Katja Grace, Julia Fabienne Sandkühler, Harlan Stewart, Benjamin Weinstein-Raun, Stephen Thomas, Zach Stein-Perlman, John Salvatier, Jan Brauner, Richard C. Korzekwa
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TOMA: Computational Theory of Mind with Abstractions for Hybrid Intelligence Emre Erdogan, Frank Dignum, Rineke Verbrugge, Pinar Yolum
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Towards a Robust Persistence Diagram via Data-Dependent Kernel Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu
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Towards an Ontology-Driven Approach to Document Bias Mayra Russo, Maria-Esther Vidal
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Towards Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered Approach Abeer Alshehri, Amal Abdulrahman, Hajar Alamri, Tim Miller, Mor Vered
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Towards Generalist Robot Learning from Internet Video: A Survey Robert McCarthy, Daniel Chee Hian Tan, Dominik Schmidt, Fernando Acero, Nathan Herr, Yilun Du, Thomas George Thuruthel, Zhibin Li
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Trustworthy Transfer Learning: A Survey Jun Wu, Jingrui He
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Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems Enrico Liscio, Luciano Cavalcante Siebert, Catholijn M. Jonker, Pradeep K. Murukannaiah
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Viewpoint: The Future of Human-Centric Explainable Artificial Intelligence (XAI) Is Not Post-Hoc Explanations Vinitra Swamy, Jibril Frej, Tanja Käser
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