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 2021-11-01 to 2025-11-01.)
ArticleCitations
Argumentative Reasoning in ASPIC+ under Incomplete Information275
Practical Parallel Algorithms for Non-Monotone Submodular Maximization218
Optimality Guarantees for Particle Belief Approximation of POMDPs124
Flexible Bayesian Nonlinear Model Configuration116
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective102
Can We Automate Scientific Reviewing?101
Graph Kernels: A Survey99
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization86
Iterative Train Scheduling under Disruption with Maximum Satisfiability82
Program Synthesis with Best-First Bottom-Up Search73
The State of Computer Vision Research in Africa62
Data-Driven Revision of Conditional Norms in Multi-Agent Systems59
Quantization Aware Factorization for Deep Neural Network Compression57
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach55
Robust Reward Design for Markov Decision Processes54
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks50
Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning48
Certified Knowledge Compilation with Application to Formally Verified Model Counting46
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model43
Uncertainty as a Fairness Measure42
Strategy Graphs for Influence Diagrams37
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training35
Fairness in Influence Maximization through Randomization34
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities33
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions33
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering29
Learning Optimal Decision Sets and Lists with SAT27
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?27
Low-Rank Representation of Reinforcement Learning Policies26
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques26
Conditional Relative Frequency Distributions with Undefined Observations and Generalized Fuzzy Orthopartitions26
Evolutionary Dynamics and Phi-Regret Minimization in Games25
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue24
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?24
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains24
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge22
Threshold Treewidth and Hypertree Width21
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression21
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length20
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom19
Flexible FOND Planning with Explicit Fairness Assumptions19
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery18
Introduction to the Special Track on Artificial Intelligence and COVID-1918
On Expected Value Strong Controllability18
Learning to Design Fair and Private Voting Rules17
Classes of Hard Formulas for QBF Resolution16
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time15
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation15
Learning to Resolve Social Dilemmas: A Survey15
AI for All: Identifying AI incidents Related to Diversity and Inclusion14
Initialization of Feature Selection Search for Classification14
Reasoning over Streams of Events with Delayed Effects14
Boolean Observation Games13
Methods for Recovering Conditional Independence Graphs: A Survey13
Finite Materialisability of Datalog Programs with Metric Temporal Operators13
Ordinal Maximin Share Approximation for Goods12
Estimating Agent Skill in Continuous Action Domains12
Digraph k-Coloring Games: New Algorithms and Experiments12
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings12
Quantum Mathematics in Artificial Intelligence12
Incremental Learning Methodologies for Addressing Catastrophic Forgetting: Analysis and Experimental Evaluation11
Proof Theory and Decision Procedures for Deontic STIT Logics11
Proactive Dynamic Distributed Constraint Optimization Problems11
Predicting Decisions in Language Based Persuasion Games11
MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks11
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization11
A Survey on Data Selection for LLM Instruction Tuning11
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?11
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations11
Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling10
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions10
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits10
Diagnosing AI Explanation Methods with Folk Concepts of Behavior10
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges10
Impact of Imputation Strategies on Fairness in Machine Learning10
Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning10
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems9
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities9
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer9
Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction9
Exploiting Functional Constraints in Automatic Dominance Breaking for Constraint Optimization9
Towards Generalist Robot Learning from Internet Video: A Survey9
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods9
Towards an Ontology-Driven Approach to Document Bias9
From Single-Objective to Bi-Objective Maximum Satisfiability Solving9
MA-LAMA: Exploiting the Multi-Agent Nature of Temporal Planning Problems8
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty8
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 Features8
Non-Crossing Anonymous MAPF for Tethered Robots8
Maximisation of Admissible Multi-Objective Heuristics8
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks8
On the Parallel Parameterized Complexity of MaxSAT Variants8
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions8
On the Evaluation of (Meta-)solver Approaches8
Inductive Logic Programming At 30: A New Introduction7
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation7
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis7
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming7
Core Challenges in Embodied Vision-Language Planning7
Finding and Recognizing Popular Coalition Structures7
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC6
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning6
Improving Mutual Information Based Feature Selection by Boosting Unique Relevance6
Doubly Robust Crowdsourcing6
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management6
The Complexity of Subelection Isomorphism Problems6
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection6
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation6
Automatically Finding the Right Probabilities in Bayesian Networks6
Computational Machine Ethics: A Survey5
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models5
Amortized Variational Inference: A Systematic Review5
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach5
Forgetting in Abstract Argumentation: Limits and Possibilities5
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey5
The Complexity of Matching Games: A Survey5
Analysis of the Impact of Randomization of Search-Control Parameters in Monte-Carlo Tree Search5
LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking5
Mixed Fair Division: A Survey5
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm5
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation5
Neural Character-Level Syntactic Parsing for Chinese5
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees5
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes5
On Dynamics in Structured Argumentation Formalisms5
Actor Prioritized Experience Replay4
Information Lattice Learning4
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey4
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks4
Generating Streamlining Constraints with Large Language Models4
Towards Evidence Retrieval Cost Reduction in Abstract Argumentation Frameworks with Fallible Evidence4
Approximate Counting of Linear Extensions in Practice4
Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation4
Counting Complexity for Reasoning in Abstract Argumentation4
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models4
conDENSE: Conditional Density Estimation for Time Series Anomaly Detection4
Agent-Based Modeling for Predicting Pedestrian Trajectories Around an Autonomous Vehicle4
Synthesis and Properties of Optimally Value-Aligned Normative Systems4
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
Improving Local Search Algorithm for Pseudo Boolean Optimization4
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML4
Multi-Agent Advisor Q-Learning4
Scalable Neural-Probabilistic Answer Set Programming4
Correct Explanations and How to Define Them: Properties and Metrics for Measuring Correctness of Three Forms of ML Model Input/Output Behaviour Explanations4
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination3
Explainable Deep Learning: A Field Guide for the Uninitiated3
Deciding FO-rewritability of Regular Languages and Ontology-Mediated Queries in Linear Temporal Logic3
Efficient and Fair Healthcare Rationing3
Admissibility in Probabilistic Argumentation3
Computing Unsatisfiable Cores for LTLf Specifications3
Empirical Game Theoretic Analysis: A Survey3
Solving Overlapping Coalition Structure Generation in Task-Based Settings3
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings3
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems3
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios3
Communication-Aware Local Search for Distributed Constraint Optimization3
Fairness in Forecasting of Observations of Linear Dynamical Systems3
A Survey of Methods for Automated Algorithm Configuration3
MallobSat: Scalable SAT Solving by Clause Sharing3
Individual Fairness, Base Rate Tracking and the Lipschitz Condition3
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis3
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent3
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness3
Best of Both Worlds: Agents with Entitlements3
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent3
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text3
Optimal and Efficient Auctions for the Gradual Procurement of Strategic Service Provider Agents3
Improving Reproducibility in AI Research: Four Mechanisms Adopted by JAIR3
Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models3
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality3
Path-Planning on a Spherical Surface with Disturbances and Exclusion Zones3
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem3
Separating and Collapsing Electoral Control Types3
Efficient Ontology-Mediated Query Answering: Extending DL-liteR and Linear ELH3
Multi-Label Classification Neural Networks with Hard Logical Constraints3
Marginal Distance and Hilbert-Schmidt Covariances-Based Independence Tests for Multivariate Functional Data3
Stability in Online Coalition Formation3
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence3
Existence, Computation and Efficiency of Nash Stable Outcomes in Hedonic Skill Games3
Satisfiability Modulo User Propagators3
Generative Curricula for Multi-Agent Path Finding via Unsupervised and Reinforcement Learning3
Effi3
Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies3
From Knowledge to Action: Logics of Permitted and Obligatory Announcements2
Collective Belief Revision2
Lifted Reasoning for Combinatorial Counting2
USN: A Robust Imitation Learning Method against Diverse Action Noise2
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis2
Using Constraint Propagation to Bound Linear Programs2
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning2
Coopetition Against an Amazon2
A Scoping Study on AI Affordances in Early Childhood Education: Mapping the Global Landscape, Identifying Research Gaps, and Charting Future Research Directions2
Cross-domain Constituency Parsing by Leveraging Heterogeneous Data2
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework2
AAN+: Generalized Average Attention Network for Accelerating Neural Transformer2
On the Complexity of Finding Set Repairs for Data-Graphs2
Declarative Approaches to Outcome Determination in Judgment Aggregation2
Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search2
Detecting Generative Model Inversion Attacks for Protecting Intellectual Property of Deep Neural Networks2
QCDCL vs QBF Resolution: Further Insights2
DIGCN: A Dynamic Interaction Graph Convolutional Network Based on Learnable Proposals for Object Detection2
A Practical Approach to Discretised PDDL+ Problems by Translation to Numeric Planning2
Online Bin Packing with Predictions2
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search2
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning2
Approximate Implication for Probabilistic Graphical Models2
ConSCompF: Consistency-focused Similarity Comparison Framework for Generative Large Language Models2
TOMA: Computational Theory of Mind with Abstractions for Hybrid Intelligence2
Principles for Responsible AI Consciousness Research2
A Benchmark Study on Knowledge Graphs Enrichment and Pruning Methods in the Presence of Noisy Relationships2
PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime2
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning2
Towards Continual Reinforcement Learning: A Review and Perspectives2
CPM-based Hierarchical Text Classification2
Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)2
Teaching People by Justifying Tree Search Decisions: An Empirical Study in Curling2
Robustness Distributions in Neural Network Verification2
On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization2
Adaptive Few-Shot Class-Incremental Learning via Latent Variable Models2
Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility2
Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models2
Sequence-Oriented Diagnosis of Discrete-Event Systems2
The TOAD System for Totally Ordered HTN Planning2
A Model to Support Collective Reasoning: Formalization, Analysis and Computational Assessment2
Improving Resource Allocations by Sharing in Pairs2
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models2
Preserving Fairness in AI under Domain Shift2
Decentralized, Decomposition-Based Observation Scheduling for a Large-Scale Satellite Constellation2
Query-driven Qualitative Constraint Acquisition2
Detecting Change Intervals with Isolation Distributional Kernel2
General Policies, Subgoal Structure, and Planning Width2
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty2
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