Journal of Artificial Intelligence Research

Papers
(The TQCC of Journal of Artificial Intelligence Research is 5. 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
Can We Automate Scientific Reviewing?92
Graph Kernels: A Survey92
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
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model54
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities54
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
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 Atom19
Introduction to the Special Track on Artificial Intelligence and COVID-1918
Flexible FOND Planning with Explicit Fairness Assumptions18
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery17
On Expected Value Strong Controllability17
Learning to Design Fair and Private Voting Rules16
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time16
Classes of Hard Formulas for QBF Resolution15
AI for All: Identifying AI incidents Related to Diversity and Inclusion15
Initialization of Feature Selection Search for Classification15
Learning to Resolve Social Dilemmas: A Survey14
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation14
Finite Materialisability of Datalog Programs with Metric Temporal Operators14
Methods for Recovering Conditional Independence Graphs: A Survey13
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
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
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods10
Proof Theory and Decision Procedures for Deontic STIT Logics10
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
Predicting Decisions in Language Based Persuasion Games9
From Single-Objective to Bi-Objective Maximum Satisfiability Solving9
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
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
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
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
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features7
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming7
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
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