Journal of Artificial Intelligence Research

Papers
(The median citation count of Journal of Artificial Intelligence Research is 2. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective168
Argumentative Reasoning in ASPIC+ under Incomplete Information153
Procedural Fairness in Machine Learning153
How to DP-Fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy145
Optimality Guarantees for Particle Belief Approximation of POMDPs96
Can We Automate Scientific Reviewing?84
An Empirical Comparison of Cost Functions in Inductive Logic Programming63
Hierarchical Reinforcement Learning with Optimal Level Synchronization Based on Flow-Based Deep Generative Model62
Practical Parallel Algorithms for Non-Monotone Submodular Maximization56
Program Synthesis with Best-First Bottom-Up Search55
Quantization Aware Factorization for Deep Neural Network Compression54
Robust Reward Design for Markov Decision Processes49
Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning48
Certified Knowledge Compilation with Application to Formally Verified Model Counting45
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training45
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks44
Computational Approaches to Automatic Poetry Generation and Evaluation: A Survey42
Iterative Train Scheduling under Disruption with Maximum Satisfiability42
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model34
Queries With Exact Truth Values on Concept and Role Atoms in Paraconsistent Description Logics34
The State of Computer Vision Research in Africa31
Data-Driven Revision of Conditional Norms in Multi-Agent Systems30
Uncertainty as a Fairness Measure27
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?27
Strategy Graphs for Influence Diagrams26
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization25
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions24
A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions24
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering23
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities22
De-biasing Facial Albedo Estimation via Visual-Textual Cues22
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach22
Low-Rank Representation of Reinforcement Learning Policies21
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?20
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length20
Threshold Treewidth and Hypertree Width20
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression19
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue18
Trustworthy Transfer Learning: A Survey18
WorldView-Bench: A Benchmark for Evaluating Global Cultural Perspectives in Large Language Models18
Conditional Relative Frequency Distributions with Undefined Observations and Generalized Fuzzy Orthopartitions17
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains17
On Expected Value Strong Controllability16
Introduction to the Special Track on Artificial Intelligence and COVID-1916
Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance16
Reasoning over Streams of Events with Delayed Effects16
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time15
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom15
Approximating Proportional and Maximin Allocations on D-Claw-Free Graphs15
Classes of Hard Formulas for QBF Resolution15
AI for All: Identifying AI incidents Related to Diversity and Inclusion14
Learning to Resolve Social Dilemmas: A Survey14
Initialization of Feature Selection Search for Classification14
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery14
Boolean Observation Games13
Finite Materialisability of Datalog Programs with Metric Temporal Operators13
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation13
Learning to Design Fair and Private Voting Rules13
Digraph k-Coloring Games: New Algorithms and Experiments13
ModelStar: Reachability Analysis-based Safety Verification of Neural Networks Against Model Perturbations12
MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks12
Estimating Agent Skill in Continuous Action Domains12
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization12
Probabilistically Tightened Linear Relaxation-based Perturbation Analysis for Neural Network Verification11
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations11
Quantifying Query Fairness Under Unawareness11
Diagnosing AI Explanation Methods with Folk Concepts of Behavior11
It’s About Time: Temporal References in Emergent Communication11
Proof Theory and Decision Procedures for Deontic STIT Logics11
Methods for Recovering Conditional Independence Graphs: A Survey11
Incremental Learning Methodologies for Addressing Catastrophic Forgetting: Analysis and Experimental Evaluation10
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings10
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods10
Integrating Column Generation and Large Neighborhood Search for Bus Driver Scheduling with Complex Break Constraints9
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer9
Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling9
From Single-Objective to Bi-Objective Maximum Satisfiability Solving9
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems9
A Survey on Data Selection for LLM Instruction Tuning9
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges9
Towards an Ontology-Driven Approach to Document Bias9
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
Towards Generalist Robot Learning from Internet Video: A Survey8
Maximisation of Admissible Multi-Objective Heuristics8
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions8
The Winnability of Klondike Solitaire and Many Other Patience Games8
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks8
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities8
On the Evaluation of (Meta-)solver Approaches8
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming8
Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction8
MA-LAMA: Exploiting the Multi-Agent Nature of Temporal Planning Problems8
On the Parallel Parameterized Complexity of MaxSAT Variants8
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection8
Non-Crossing Anonymous MAPF for Tethered Robots7
Efficiently Negative: Complexity and Approximations of Targeted Negative Campaigning7
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC7
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis7
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty7
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning7
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation7
A Review of Pseudo-Labeling for Computer Vision7
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey7
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation6
Improving Mutual Information Based Feature Selection by Boosting Unique Relevance6
Forgetting in Abstract Argumentation: Limits and Possibilities6
On Dynamics in Structured Argumentation Formalisms6
ℵ-IPOMDP: Mitigating Deception in a Cognitive Hierarchy with Off-Policy Counterfactual Anomaly Detection6
The Complexity of Subelection Isomorphism Problems6
Automatically Finding the Right Probabilities in Bayesian Networks6
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees6
Abductive Reasoning in Expansions of Belnap-Dunn Logic6
The Complexity of Matching Games: A Survey6
Revisiting SAT-based Solvers: MaxSAT Rules and Core Sequences6
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation6
Computational Machine Ethics: A Survey6
Multi-Agent Pathfinding Under Team-Connected Communication Constraint via Adaptive Path Expansion and Dynamic Leading6
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm6
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management6
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models5
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks5
LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking5
Amortized Variational Inference: A Systematic Review5
Improving Local Search Algorithm for Pseudo Boolean Optimization5
The Complexity of Extending Fair Allocations of Indivisible Goods5
Counting Complexity for Reasoning in Abstract Argumentation5
Actor Prioritized Experience Replay5
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach5
Mixed Fair Division: A Survey5
conDENSE: Conditional Density Estimation for Time Series Anomaly Detection5
A Graphical Formalism for Reasoning about Substitution in Resource Transforming Procedures5
sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges5
Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities5
Bases for Weighted Gradual Semantics and Inverse Problems in Argumentation Theory5
Design and Effects of Co-Learning in Human-AI Teams5
Symbolic Search for Cost-Optimal Planning with Expressive Model Extensions5
Information Lattice Learning5
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML5
Scalable Neural-Probabilistic Answer Set Programming4
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness4
Rational Silence and False Polarization: How Viewpoint Organizations and Recommender Systems Distort the Expression of Public Opinion4
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models4
Approximate Counting of Linear Extensions in Practice4
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey4
Label-Aware Pseudo-Training Sample Generation for Text Classification4
Backward Monte Carlo Tree Search: Charting Unsafe Regions in the Belief-Space4
Separating and Collapsing Electoral Control Types4
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction4
Reward Generation for Model-Free Reinforcement Learning from Formal Specifications4
Honey, I Shrunk the Hypothesis Space (Through Logical Preprocessing)4
Towards Evidence Retrieval Cost Reduction in Abstract Argumentation Frameworks with Fallible Evidence4
Partial Minimum Satisfiability: Fine-Grained Analysis4
Efficient and Fair Healthcare Rationing4
Correct Explanations and How to Define Them: Properties and Metrics for Measuring Correctness of Three Forms of ML Model Input/Output Behaviour Explanations4
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning4
Generating Streamlining Constraints with Large Language Models4
Adaptive Neighborhood Selection for MAPF via Non-Stationary Bandits4
Computing Unsatisfiable Cores for LTLf Specifications4
Synthesis and Properties of Optimally Value-Aligned Normative Systems4
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios3
A Survey of Methods for Automated Algorithm Configuration3
Solving Overlapping Coalition Structure Generation in Task-Based Settings3
Best of Both Worlds: Agents with Entitlements3
Improving Reproducibility in AI Research: Four Mechanisms Adopted by JAIR3
Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models3
GEPR: Group-knowledge Enhanced Personalized Educational Resource Recommendation3
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis3
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination3
Generative Curricula for Multi-Agent Path Finding via Unsupervised and Reinforcement Learning3
Stability in Online Coalition Formation3
Existence, Computation and Efficiency of Nash Stable Outcomes in Hedonic Skill Games3
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality3
Individual Fairness, Base Rate Tracking and the Lipschitz Condition3
Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies3
Effi3
Fairness in Forecasting of Observations of Linear Dynamical Systems3
Empirical Game Theoretic Analysis: A Survey3
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty3
Path-Planning on a Spherical Surface with Disturbances and Exclusion Zones3
Communication-Aware Local Search for Distributed Constraint Optimization3
Optimal and Efficient Auctions for the Gradual Procurement of Strategic Service Provider Agents3
Deciding FO-rewritability of Regular Languages and Ontology-Mediated Queries in Linear Temporal Logic3
MallobSat: Scalable SAT Solving by Clause Sharing3
General Policies, Subgoal Structure, and Planning Width2
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework2
Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)2
PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime2
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings2
On the Complexity of Finding Set Repairs for Data-Graphs2
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models2
On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization2
Lifted Reasoning for Combinatorial Counting2
Query-driven Qualitative Constraint Acquisition2
Maximizing the Spread of Influence through a Social Network Using Partial Incentives2
Scaling Safe Policy Improvement: Monte Carlo Tree Search and Policy Iteration Strategies2
Generalised Merge and Shrink Abstractions for Temporal Planning2
Principles for Responsible AI Consciousness Research2
From Knowledge to Action: Logics of Permitted and Obligatory Announcements2
Machine Learning-Guided Interactive Constraint Acquisition2
Detecting Generative Model Inversion Attacks for Protecting Intellectual Property of Deep Neural Networks2
A Scoping Study on AI Affordances in Early Childhood Education: Mapping the Global Landscape, Identifying Research Gaps, and Charting Future Research Directions2
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning2
Fairer than Fair: Sharp Bounds for Connected Super-Proportional Cake Cutting2
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent2
Coopetition Against an Amazon2
Satisfiability Modulo User Propagators2
Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search2
Collective Belief Revision2
Adaptive Few-Shot Class-Incremental Learning via Latent Variable Models2
DIGCN: A Dynamic Interaction Graph Convolutional Network Based on Learnable Proposals for Object Detection2
AAN+: Generalized Average Attention Network for Accelerating Neural Transformer2
Improving Resource Allocations by Sharing in Pairs2
USN: A Robust Imitation Learning Method against Diverse Action Noise2
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning2
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search2
Approximate Implication for Probabilistic Graphical Models2
Decentralized, Decomposition-Based Observation Scheduling for a Large-Scale Satellite Constellation2
Cross-domain Constituency Parsing by Leveraging Heterogeneous Data2
Using Constraint Propagation to Bound Linear Programs2
A Benchmark Study on Knowledge Graphs Enrichment and Pruning Methods in the Presence of Noisy Relationships2
QCDCL vs QBF Resolution: Further Insights2
Declarative Approaches to Outcome Determination in Judgment Aggregation2
On the Equivalence between Logic Programs and Bipolar Argumentation Frameworks2
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text2
Improving Label Error Detection and Elimination with Uncertainty Quantification2
Efficient Ontology-Mediated Query Answering: Extending DL-liteR and Linear ELH2
Detecting Change Intervals with Isolation Distributional Kernel2
Sequence-Oriented Diagnosis of Discrete-Event Systems2
TOMA: Computational Theory of Mind with Abstractions for Hybrid Intelligence2
MaxSAT Fuzzing and Delta Debugging2
Preserving Fairness in AI under Domain Shift2
Explainable Bayesian Deep Learning through Input-skip Latent Binary Bayesian Neural Networks2
A Practical Approach to Discretised PDDL+ Problems by Translation to Numeric Planning2
Robustness Distributions in Neural Network Verification2
ConSCompF: Consistency-focused Similarity Comparison Framework for Generative Large Language Models2
The TOAD System for Totally Ordered HTN Planning2
Towards Continual Reinforcement Learning: A Review and Perspectives2
CPM-based Hierarchical Text Classification2
Achieving Zero Constraint Violation for Concave Utility Constrained Reinforcement Learning via Primal-Dual Approach2
Active Constraint Acquisition Using Large Language Models2
Satsuma: Structure-Based Symmetry Breaking in SAT2
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