Journal of Artificial Intelligence Research

Papers
(The median citation count of Journal of Artificial Intelligence Research is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
Optimality Guarantees for Particle Belief Approximation of POMDPs242
Practical Parallel Algorithms for Non-Monotone Submodular Maximization211
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective112
Flexible Bayesian Nonlinear Model Configuration100
Argumentative Reasoning in ASPIC+ under Incomplete Information93
Graph Kernels: A Survey92
Can We Automate Scientific Reviewing?92
Certified Knowledge Compilation with Application to Formally Verified Model Counting79
Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning78
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering73
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks71
Learning Optimal Decision Sets and Lists with SAT56
Fairness in Influence Maximization through Randomization55
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities54
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model54
Data-Driven Revision of Conditional Norms in Multi-Agent Systems53
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques52
Strategy Graphs for Influence Diagrams44
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training43
Uncertainty as a Fairness Measure40
Program Synthesis with Best-First Bottom-Up Search39
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization35
The State of Computer Vision Research in Africa33
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?32
Iterative Train Scheduling under Disruption with Maximum Satisfiability32
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach28
Quantization Aware Factorization for Deep Neural Network Compression26
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions26
Low-Rank Representation of Reinforcement Learning Policies25
Evolutionary Dynamics and Phi-Regret Minimization in Games24
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?24
Conditional Relative Frequency Distributions with Undefined Observations and Generalized Fuzzy Orthopartitions23
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue23
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge22
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains21
Threshold Treewidth and Hypertree Width21
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression20
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom19
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length19
Flexible FOND Planning with Explicit Fairness Assumptions18
Introduction to the Special Track on Artificial Intelligence and COVID-1918
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery17
On Expected Value Strong Controllability17
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time16
Learning to Design Fair and Private Voting Rules16
AI for All: Identifying AI incidents Related to Diversity and Inclusion15
Initialization of Feature Selection Search for Classification15
Classes of Hard Formulas for QBF Resolution15
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation14
Finite Materialisability of Datalog Programs with Metric Temporal Operators14
Learning to Resolve Social Dilemmas: A Survey14
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings13
Boolean Observation Games13
Estimating Agent Skill in Continuous Action Domains13
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions13
Digraph k-Coloring Games: New Algorithms and Experiments13
Methods for Recovering Conditional Independence Graphs: A Survey13
Quantum Mathematics in Artificial Intelligence12
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges11
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits11
Ordinal Maximin Share Approximation for Goods11
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with an Application to False-name Manipulation11
Impact of Imputation Strategies on Fairness in Machine Learning11
Diagnosing AI Explanation Methods with Folk Concepts of Behavior11
Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling11
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization11
A Survey on Data Selection for LLM Instruction Tuning10
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations10
Proactive Dynamic Distributed Constraint Optimization Problems10
Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning10
MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks10
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods10
Proof Theory and Decision Procedures for Deontic STIT Logics10
Incremental Learning Methodologies for Addressing Catastrophic Forgetting: Analysis and Experimental Evaluation9
Exploiting Functional Constraints in Automatic Dominance Breaking for Constraint Optimization9
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?9
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems9
Towards Generalist Robot Learning from Internet Video: A Survey9
Predicting Decisions in Language Based Persuasion Games9
From Single-Objective to Bi-Objective Maximum Satisfiability Solving9
Maximisation of Admissible Multi-Objective Heuristics8
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions8
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer8
Towards an Ontology-Driven Approach to Document Bias8
Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction8
On the Evaluation of (Meta-)solver Approaches8
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities8
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems8
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features7
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming7
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation7
Finding and Recognizing Popular Coalition Structures7
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty7
On the Parallel Parameterized Complexity of MaxSAT Variants7
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis7
Non-Crossing Anonymous MAPF for Tethered Robots7
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection7
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks6
Core Challenges in Embodied Vision-Language Planning6
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning6
The Complexity of Subelection Isomorphism Problems6
MA-LAMA: Exploiting the Multi-Agent Nature of Temporal Planning Problems6
Doubly Robust Crowdsourcing6
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation6
Computational Machine Ethics: A Survey6
Inductive Logic Programming At 30: A New Introduction6
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC6
Pure Nash Equilibria in Resource Graph Games6
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm6
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey5
Improving Mutual Information Based Feature Selection by Boosting Unique Relevance5
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks5
On Dynamics in Structured Argumentation Formalisms5
The Complexity of Matching Games: A Survey5
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach5
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management5
Automatically Finding the Right Probabilities in Bayesian Networks5
Forgetting in Abstract Argumentation: Limits and Possibilities5
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation5
Improving Local Search Algorithm for Pseudo Boolean Optimization4
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey4
Multi-Agent Advisor Q-Learning4
Mixed Fair Division: A Survey4
LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking4
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes4
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees4
Counting Complexity for Reasoning in Abstract Argumentation4
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction4
sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges4
Symbolic Search for Cost-Optimal Planning with Expressive Model Extensions4
Amortized Variational Inference: A Systematic Review4
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models4
Finding the Hardest Formulas for Resolution4
conDENSE: Conditional Density Estimation for Time Series Anomaly Detection4
Information Lattice Learning4
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models4
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML4
Neural Character-Level Syntactic Parsing for Chinese4
Analysis of the Impact of Randomization of Search-Control Parameters in Monte-Carlo Tree Search4
Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation4
Actor Prioritized Experience Replay4
Optimal and Efficient Auctions for the Gradual Procurement of Strategic Service Provider Agents3
Effi3
Efficient Ontology-Mediated Query Answering: Extending DL-liteR and Linear ELH3
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality3
Generative Curricula for Multi-Agent Path Finding via Unsupervised and Reinforcement Learning3
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis3
Best of Both Worlds: Agents with Entitlements3
Efficient and Fair Healthcare Rationing3
Multi-Label Classification Neural Networks with Hard Logical Constraints3
Synthesis and Properties of Optimally Value-Aligned Normative Systems3
Agent-Based Modeling for Predicting Pedestrian Trajectories Around an Autonomous Vehicle3
MallobSat: Scalable SAT Solving by Clause Sharing3
Fairness in Forecasting of Observations of Linear Dynamical Systems3
Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models3
Improving Reproducibility in AI Research: Four Mechanisms Adopted by JAIR3
Individual Fairness, Base Rate Tracking and the Lipschitz Condition3
Stability in Online Coalition Formation3
Empirical Game Theoretic Analysis: A Survey3
Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies3
Separating and Collapsing Electoral Control Types3
Towards Evidence Retrieval Cost Reduction in Abstract Argumentation Frameworks with Fallible Evidence3
Scalable Neural-Probabilistic Answer Set Programming3
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems3
Explainable Deep Learning: A Field Guide for the Uninitiated3
Path-Planning on a Spherical Surface with Disturbances and Exclusion Zones3
Communication-Aware Local Search for Distributed Constraint Optimization3
Deciding FO-rewritability of Regular Languages and Ontology-Mediated Queries in Linear Temporal Logic3
A Survey of Methods for Automated Algorithm Configuration3
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination3
Marginal Distance and Hilbert-Schmidt Covariances-Based Independence Tests for Multivariate Functional Data3
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness3
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem3
Admissibility in Probabilistic Argumentation3
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent3
Computing Unsatisfiable Cores for LTLf Specifications3
Approximate Counting of Linear Extensions in Practice3
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence2
Existence, Computation and Efficiency of Nash Stable Outcomes in Hedonic Skill Games2
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning2
Teaching People by Justifying Tree Search Decisions: An Empirical Study in Curling2
Principles for Responsible AI Consciousness Research2
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework2
Collective Belief Revision2
Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility2
TOMA: Computational Theory of Mind with Abstractions for Hybrid Intelligence2
Improving Resource Allocations by Sharing in Pairs2
Approximate Implication for Probabilistic Graphical Models2
Preserving Fairness in AI under Domain Shift2
QCDCL vs QBF Resolution: Further Insights2
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems2
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent2
Satisfiability Modulo User Propagators2
AAN+: Generalized Average Attention Network for Accelerating Neural Transformer2
CPM-based Hierarchical Text Classification2
Decentralized, Decomposition-Based Observation Scheduling for a Large-Scale Satellite Constellation2
PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime2
Robustness Distributions in Neural Network Verification2
Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search2
General Policies, Subgoal Structure, and Planning Width2
The TOAD System for Totally Ordered HTN Planning2
A Benchmark Study on Knowledge Graphs Enrichment and Pruning Methods in the Presence of Noisy Relationships2
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning2
Query-driven Qualitative Constraint Acquisition2
Solving Overlapping Coalition Structure Generation in Task-Based Settings2
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty2
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings2
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text2
Sequence-Oriented Diagnosis of Discrete-Event Systems2
A Scoping Study on AI Affordances in Early Childhood Education: Mapping the Global Landscape, Identifying Research Gaps, and Charting Future Research Directions2
On the Complexity of Finding Set Repairs for Data-Graphs2
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models2
From Knowledge to Action: Logics of Permitted and Obligatory Announcements2
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis2
Coopetition Against an Amazon2
Declarative Approaches to Outcome Determination in Judgment Aggregation2
Cross-domain Constituency Parsing by Leveraging Heterogeneous Data2
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning2
Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)2
A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching1
Learning How to Vote with Principles: Axiomatic Insights Into the Collective Decisions of Neural Networks1
Better Decision Heuristics in CDCL through Local Search and Target Phases1
Equivalence in Argumentation Frameworks with a Claim-centric View: Classical Results with Novel Ingredients1
Selfishly Prepaying in Financial Credit Networks1
The Fixed-Point Semantics of Relational Concept Analysis1
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models1
Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis1
The LM-Cut Heuristic Family for Optimal Numeric Planning with Simple Conditions1
On the Consistency between Belief Revision and Belief Update1
Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula1
Confidence-based Estimators for Predictive Performance in Model Monitoring1
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms1
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization1
A Divide, Align and Conquer Strategy For Program Synthesis1
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework1
Towards Green Automated Machine Learning: Status Quo and Future Directions1
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning1
Efficient XAI: A Low-Cost Data Reduction Approach to SHAP Interpretability1
On the Phase Transition of the Euclidean Travelling Salesman Problem with Time Windows1
Objective Bayesian Nets for Integrating Consistent Datasets1
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization1
CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding1
Your College Dorm and Dormmates: Fair Resource Sharing with Externalities1
Collective Intelligence in Decision-Making with Non-Stationary Experts1
Negative Human Rights as a Basis for Long-term AI Safety and Regulation1
Contract Scheduling with Predictions1
A Survey of Opponent Modeling in Adversarial Domains1
A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems1
AI Governance in the GCC States: A Comparative Analysis of National AI Strategies1
Reasoning about Decidability of Strategic Logics with Imperfect Information and Perfect Recall Strategies1
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