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 2021-05-01 to 2025-05-01.)
ArticleCitations
Flexible Bayesian Nonlinear Model Configuration185
Optimality Guarantees for Particle Belief Approximation of POMDPs156
Practical Parallel Algorithms for Non-Monotone Submodular Maximization111
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective93
Graph Kernels: A Survey87
Can We Automate Scientific Reviewing?75
Quantization Aware Factorization for Deep Neural Network Compression74
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?72
The State of Computer Vision Research in Africa67
Program Synthesis with Best-First Bottom-Up Search60
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach60
Certified Knowledge Compilation with Application to Formally Verified Model Counting58
Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning57
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions55
Fairness in Influence Maximization through Randomization49
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities47
Iterative Train Scheduling under Disruption with Maximum Satisfiability46
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks45
Learning Optimal Decision Sets and Lists with SAT41
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel39
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model38
Uncertainty as a Fairness Measure35
Data-Driven Revision of Conditional Norms in Multi-Agent Systems34
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques34
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization32
Strategy Graphs for Influence Diagrams29
Efficient Local Search based on Dynamic Connectivity Maintenance for Minimum Connected Dominating Set28
Threshold Treewidth and Hypertree Width28
Low-Rank Representation of Reinforcement Learning Policies28
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?27
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge25
Evolutionary Dynamics and Phi-Regret Minimization in Games23
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue23
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression21
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains20
Learning to Design Fair and Private Voting Rules19
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length19
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom18
Introduction to the Special Track on Artificial Intelligence and COVID-1917
Learning to Resolve Social Dilemmas: A Survey17
Classes of Hard Formulas for QBF Resolution17
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation17
On Expected Value Strong Controllability17
Flexible FOND Planning with Explicit Fairness Assumptions17
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time16
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery16
Initialization of Feature Selection Search for Classification16
Finite Materialisability of Datalog Programs with Metric Temporal Operators15
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective15
Predicting Decisions in Language Based Persuasion Games14
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with an Application to False-name Manipulation14
Boolean Observation Games14
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions12
Methods for Recovering Conditional Independence Graphs: A Survey12
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings11
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations11
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization11
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits11
Digraph k-Coloring Games: New Algorithms and Experiments11
Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning10
Quantum Mathematics in Artificial Intelligence10
MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks10
Ordinal Maximin Share Approximation for Goods10
Estimating Agent Skill in Continuous Action Domains10
Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling10
Proof Theory and Decision Procedures for Deontic STIT Logics10
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods9
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges9
Proactive Dynamic Distributed Constraint Optimization Problems9
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems8
Exploiting Functional Constraints in Automatic Dominance Breaking for Constraint Optimization8
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers8
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions8
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems8
Impact of Imputation Strategies on Fairness in Machine Learning8
Diagnosing AI Explanation Methods with Folk Concepts of Behavior8
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer8
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?8
From Single-Objective to Bi-Objective Maximum Satisfiability Solving8
On the Parallel Parameterized Complexity of MaxSAT Variants7
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming7
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation7
Non-Crossing Anonymous MAPF for Tethered Robots7
Maximisation of Admissible Multi-Objective Heuristics7
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features7
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty7
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities7
On the Evaluation of (Meta-)solver Approaches7
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis7
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks6
Doubly Robust Crowdsourcing6
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm6
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning6
Finding and Recognizing Popular Coalition Structures6
Inductive Logic Programming At 30: A New Introduction6
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC6
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation6
Core Challenges in Embodied Vision-Language Planning6
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection6
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey6
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation6
On Dynamics in Structured Argumentation Formalisms5
The Complexity of Subelection Isomorphism Problems5
Improving Mutual Information Based Feature Selection by Boosting Unique Relevance5
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
Mixed Fair Division: A Survey5
Computational Machine Ethics: A Survey5
Automatically Finding the Right Probabilities in Bayesian Networks5
Pure Nash Equilibria in Resource Graph Games5
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes5
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models5
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks5
Neural Character-Level Syntactic Parsing for Chinese5
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management5
The Complexity of Matching Games: A Survey5
Finding the Hardest Formulas for Resolution5
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees5
Amortized Variational Inference: A Systematic Review5
Analysis of the Impact of Randomization of Search-Control Parameters in Monte-Carlo Tree Search5
Information Lattice Learning4
sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges4
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML4
Multi-Agent Advisor Q-Learning4
Counting Complexity for Reasoning in Abstract Argumentation4
conDENSE: Conditional Density Estimation for Time Series Anomaly Detection4
Synthesis and Properties of Optimally Value-Aligned Normative Systems4
Symbolic Search for Cost-Optimal Planning with Expressive Model Extensions4
Actor Prioritized Experience Replay4
Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation4
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction4
Scalable Neural-Probabilistic Answer Set Programming4
Efficient and Fair Healthcare Rationing3
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis3
Agent-Based Modeling for Predicting Pedestrian Trajectories Around an Autonomous Vehicle3
Towards Evidence Retrieval Cost Reduction in Abstract Argumentation Frameworks with Fallible Evidence3
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness3
Optimal and Efficient Auctions for the Gradual Procurement of Strategic Service Provider Agents3
Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies3
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality3
Fairness in Forecasting of Observations of Linear Dynamical Systems3
Admissibility in Probabilistic Argumentation3
Empirical Game Theoretic Analysis: A Survey3
Approximate Counting of Linear Extensions in Practice3
Separating and Collapsing Electoral Control Types3
Multi-Label Classification Neural Networks with Hard Logical Constraints3
Explainable Deep Learning: A Field Guide for the Uninitiated3
Best of Both Worlds: Agents with Entitlements3
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem3
MallobSat: Scalable SAT Solving by Clause Sharing3
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent3
Computing Unsatisfiable Cores for LTLf Specifications3
Multi-Document Summarization with Determinantal Point Process Attention3
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems3
Marginal Distance and Hilbert-Schmidt Covariances-Based Independence Tests for Multivariate Functional Data3
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination3
Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models3
Path-Planning on a Spherical Surface with Disturbances and Exclusion Zones3
Teaching People by Justifying Tree Search Decisions: An Empirical Study in Curling2
Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)2
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems2
Individual Fairness, Base Rate Tracking and the Lipschitz Condition2
Improving Reproducibility in AI Research: Four Mechanisms Adopted by JAIR2
Generative Curricula for Multi-Agent Path Finding via Unsupervised and Reinforcement Learning2
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence2
Existence, Computation and Efficiency of Nash Stable Outcomes in Hedonic Skill Games2
Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility2
Query-driven Qualitative Constraint Acquisition2
General Policies, Subgoal Structure, and Planning Width2
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning2
Dimensional Inconsistency Measures and Postulates in Spatio-Temporal Databases2
Satisfiability Modulo User Propagators2
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings2
Stability in Online Coalition Formation2
Communication-Aware Local Search for Distributed Constraint Optimization2
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty2
CPM-based Hierarchical Text Classification2
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis2
AAN+: Generalized Average Attention Network for Accelerating Neural Transformer2
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text2
Playing Codenames with Language Graphs and Word Embeddings2
Effi2
Deciding FO-rewritability of Regular Languages and Ontology-Mediated Queries in Linear Temporal Logic2
A Survey of Methods for Automated Algorithm Configuration2
Efficient Ontology-Mediated Query Answering: Extending DL-liteR and Linear ELH2
Solving Overlapping Coalition Structure Generation in Task-Based Settings2
A Benchmark Study on Knowledge Graphs Enrichment and Pruning Methods in the Presence of Noisy Relationships2
Improving Resource Allocations by Sharing in Pairs2
On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization1
A Portfolio Approach to Massively Parallel Bayesian Optimization1
Solving the Watchman Route Problem with Heuristic Search1
On Centralized Critics in Multi-Agent Reinforcement Learning1
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models1
Lifted Reasoning for Combinatorial Counting1
Your College Dorm and Dormmates: Fair Resource Sharing with Externalities1
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning1
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization1
Sequence-Oriented Diagnosis of Discrete-Event Systems1
A Divide, Align and Conquer Strategy For Program Synthesis1
Declarative Approaches to Outcome Determination in Judgment Aggregation1
Two-phase Multi-document Event Summarization on Core Event Graphs1
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework1
Adaptive Few-Shot Class-Incremental Learning via Latent Variable Models1
Approximate Implication for Probabilistic Graphical Models1
Set-to-Sequence Methods in Machine Learning: A Review1
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models1
Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms1
A Practical Approach to Discretised PDDL+ Problems by Translation to Numeric Planning1
Exploiting Contextual Target Attributes for Target Sentiment Classification1
Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges1
Reviewer Assignment Problem: A Systematic Review of the Literature1
Weighted, Circular and Semi-Algebraic Proofs1
Asymptotics of K-Fold Cross Validation1
Better Decision Heuristics in CDCL through Local Search and Target Phases1
DIGCN: A Dynamic Interaction Graph Convolutional Network Based on Learnable Proposals for Object Detection1
Decentralized, Decomposition-Based Observation Scheduling for a Large-Scale Satellite Constellation1
A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching1
From Knowledge to Action: Logics of Permitted and Obligatory Announcements1
Contract Scheduling with Predictions1
Declarative Algorithms and Complexity Results for Assumption-Based Argumentation1
Negative Human Rights as a Basis for Long-term AI Safety and Regulation1
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods1
The LM-Cut Heuristic Family for Optimal Numeric Planning with Simple Conditions1
Cross-domain Constituency Parsing by Leveraging Heterogeneous Data1
CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding1
Coopetition Against an Amazon1
Robust Average-Reward Reinforcement Learning1
TOMA: Computational Theory of Mind with Abstractions for Hybrid Intelligence1
The Jiminy Advisor: Moral Agreements among Stakeholders Based on Norms and Argumentation1
USN: A Robust Imitation Learning Method against Diverse Action Noise1
Maximal Combinations of Fairness Definitions1
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms1
Relevance in Belief Update1
A Fortiori Case-Based Reasoning: From Theory to Data1
Competitive Equilibria with a Constant Number of Chores1
Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search1
Collective Belief Revision1
Equivalence in Argumentation Frameworks with a Claim-centric View: Classical Results with Novel Ingredients1
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search1
Selfishly Prepaying in Financial Credit Networks1
Preserving Fairness in AI under Domain Shift1
Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning1
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning1
MAT2I: Enhancing Perceptual Authenticity in Text-to-Image Synthesis using Multi-Attribute Generative Adversarial Networks1
Merge-and-Shrink: A Compositional Theory of Transformations of Factored Transition Systems1
Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models1
The TOAD System for Totally Ordered HTN Planning1
Path Counting for Grid-Based Navigation1
QCDCL vs QBF Resolution: Further Insights1
Online Bin Packing with Predictions1
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