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 2022-01-01 to 2026-01-01.)
ArticleCitations
Argumentative Reasoning in ASPIC+ under Incomplete Information317
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective227
Optimality Guarantees for Particle Belief Approximation of POMDPs130
Can We Automate Scientific Reviewing?122
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization118
Practical Parallel Algorithms for Non-Monotone Submodular Maximization118
Iterative Train Scheduling under Disruption with Maximum Satisfiability115
Program Synthesis with Best-First Bottom-Up Search90
Data-Driven Revision of Conditional Norms in Multi-Agent Systems88
Quantization Aware Factorization for Deep Neural Network Compression86
Robust Reward Design for Markov Decision Processes66
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities60
Uncertainty as a Fairness Measure59
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks56
Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning50
Certified Knowledge Compilation with Application to Formally Verified Model Counting49
Strategy Graphs for Influence Diagrams48
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training47
The State of Computer Vision Research in Africa46
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques38
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering37
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?36
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model34
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach33
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions32
Fairness in Influence Maximization through Randomization32
Low-Rank Representation of Reinforcement Learning Policies30
Conditional Relative Frequency Distributions with Undefined Observations and Generalized Fuzzy Orthopartitions29
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge28
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression27
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue26
Threshold Treewidth and Hypertree Width26
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?24
Evolutionary Dynamics and Phi-Regret Minimization in Games24
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length23
Trustworthy Transfer Learning: A Survey22
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains21
On Expected Value Strong Controllability20
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom20
Flexible FOND Planning with Explicit Fairness Assumptions20
Introduction to the Special Track on Artificial Intelligence and COVID-1919
Learning to Design Fair and Private Voting Rules18
Initialization of Feature Selection Search for Classification17
Classes of Hard Formulas for QBF Resolution17
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery16
AI for All: Identifying AI incidents Related to Diversity and Inclusion16
Learning to Resolve Social Dilemmas: A Survey15
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time15
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation15
Reasoning over Streams of Events with Delayed Effects15
Boolean Observation Games14
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings14
Finite Materialisability of Datalog Programs with Metric Temporal Operators14
Methods for Recovering Conditional Independence Graphs: A Survey14
Incremental Learning Methodologies for Addressing Catastrophic Forgetting: Analysis and Experimental Evaluation13
Ordinal Maximin Share Approximation for Goods13
Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning13
Digraph k-Coloring Games: New Algorithms and Experiments13
Predicting Decisions in Language Based Persuasion Games13
Estimating Agent Skill in Continuous Action Domains13
MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks12
A Survey on Data Selection for LLM Instruction Tuning12
Diagnosing AI Explanation Methods with Folk Concepts of Behavior12
Proof Theory and Decision Procedures for Deontic STIT Logics12
Proactive Dynamic Distributed Constraint Optimization Problems12
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?12
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits12
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations12
Impact of Imputation Strategies on Fairness in Machine Learning11
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions11
Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling10
Probabilistically Tightened Linear Relaxation-based Perturbation Analysis for Neural Network Verification10
Exploiting Functional Constraints in Automatic Dominance Breaking for Constraint Optimization10
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization10
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods10
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer10
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges10
Towards an Ontology-Driven Approach to Document Bias10
Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction10
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities9
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions9
On the Evaluation of (Meta-)solver Approaches9
From Single-Objective to Bi-Objective Maximum Satisfiability Solving9
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems9
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features9
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems9
Maximisation of Admissible Multi-Objective Heuristics9
Towards Generalist Robot Learning from Internet Video: A Survey9
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty8
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis8
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation8
MA-LAMA: Exploiting the Multi-Agent Nature of Temporal Planning Problems8
Finding and Recognizing Popular Coalition Structures8
Non-Crossing Anonymous MAPF for Tethered Robots8
On the Parallel Parameterized Complexity of MaxSAT Variants8
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection8
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming8
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning7
Core Challenges in Embodied Vision-Language Planning7
Doubly Robust Crowdsourcing7
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks7
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC7
Inductive Logic Programming At 30: A New Introduction7
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation6
The Complexity of Matching Games: A Survey6
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation6
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management6
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 Survey6
Automatically Finding the Right Probabilities in Bayesian Networks6
On Dynamics in Structured Argumentation Formalisms6
The Complexity of Subelection Isomorphism Problems6
LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking5
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
Amortized Variational Inference: A Systematic Review5
Mixed Fair Division: A Survey5
Neural Character-Level Syntactic Parsing for Chinese5
Forgetting in Abstract Argumentation: Limits and Possibilities5
Actor Prioritized Experience Replay5
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models5
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks5
Computational Machine Ethics: A Survey5
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees5
Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities5
Symbolic Search for Cost-Optimal Planning with Expressive Model Extensions4
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML4
Agent-Based Modeling for Predicting Pedestrian Trajectories Around an Autonomous Vehicle4
Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies4
Empirical Game Theoretic Analysis: A Survey4
Admissibility in Probabilistic Argumentation4
MallobSat: Scalable SAT Solving by Clause Sharing4
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction4
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis4
Approximate Counting of Linear Extensions in Practice4
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey4
Improving Local Search Algorithm for Pseudo Boolean Optimization4
Counting Complexity for Reasoning in Abstract Argumentation4
Synthesis and Properties of Optimally Value-Aligned Normative Systems4
Computing Unsatisfiable Cores for LTLf Specifications4
Fairness in Forecasting of Observations of Linear Dynamical Systems4
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness4
Separating and Collapsing Electoral Control Types4
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent4
Multi-Agent Advisor Q-Learning4
Information Lattice Learning4
sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges4
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models4
Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation4
Towards Evidence Retrieval Cost Reduction in Abstract Argumentation Frameworks with Fallible Evidence4
Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models4
Explainable Deep Learning: A Field Guide for the Uninitiated4
Path-Planning on a Spherical Surface with Disturbances and Exclusion Zones4
Efficient and Fair Healthcare Rationing4
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
conDENSE: Conditional Density Estimation for Time Series Anomaly Detection4
Generating Streamlining Constraints with Large Language Models4
Best of Both Worlds: Agents with Entitlements3
Optimal and Efficient Auctions for the Gradual Procurement of Strategic Service Provider Agents3
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality3
Improving Reproducibility in AI Research: Four Mechanisms Adopted by JAIR3
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning3
General Policies, Subgoal Structure, and Planning Width3
Detecting Generative Model Inversion Attacks for Protecting Intellectual Property of Deep Neural Networks3
Solving Overlapping Coalition Structure Generation in Task-Based Settings3
A Survey of Methods for Automated Algorithm Configuration3
Individual Fairness, Base Rate Tracking and the Lipschitz Condition3
Marginal Distance and Hilbert-Schmidt Covariances-Based Independence Tests for Multivariate Functional Data3
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem3
Satisfiability Modulo User Propagators3
Existence, Computation and Efficiency of Nash Stable Outcomes in Hedonic Skill Games3
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings3
Query-driven Qualitative Constraint Acquisition3
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems3
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty3
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent3
Effi3
Deciding FO-rewritability of Regular Languages and Ontology-Mediated Queries in Linear Temporal Logic3
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination3
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios3
Generative Curricula for Multi-Agent Path Finding via Unsupervised and Reinforcement Learning3
Improving Resource Allocations by Sharing in Pairs3
CPM-based Hierarchical Text Classification3
Declarative Approaches to Outcome Determination in Judgment Aggregation3
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text3
Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)3
Communication-Aware Local Search for Distributed Constraint Optimization3
Efficient Ontology-Mediated Query Answering: Extending DL-liteR and Linear ELH3
Stability in Online Coalition Formation3
Detecting Change Intervals with Isolation Distributional Kernel2
Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms2
Online Bin Packing with Predictions2
On the Equivalence between Logic Programs and Bipolar Argumentation Frameworks2
On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization2
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models2
MAT2I: Enhancing Perceptual Authenticity in Text-to-Image Synthesis using Multi-Attribute Generative Adversarial Networks2
From Knowledge to Action: Logics of Permitted and Obligatory Announcements2
Principles for Responsible AI Consciousness Research2
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning2
A Scoping Study on AI Affordances in Early Childhood Education: Mapping the Global Landscape, Identifying Research Gaps, and Charting Future Research Directions2
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning2
Adaptive Few-Shot Class-Incremental Learning via Latent Variable Models2
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis2
Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility2
Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search2
Improving Label Error Detection and Elimination with Uncertainty Quantification2
A Portfolio Approach to Massively Parallel Bayesian Optimization2
Collective Belief Revision2
DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning2
Scaling Safe Policy Improvement: Monte Carlo Tree Search and Policy Iteration Strategies2
Preferences Single-Peaked on a Tree: Multiwinner Elections and Structural Results2
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework2
Lifted Reasoning for Combinatorial Counting2
TOMA: Computational Theory of Mind with Abstractions for Hybrid Intelligence2
Towards Continual Reinforcement Learning: A Review and Perspectives2
Approximate Implication for Probabilistic Graphical Models2
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search2
Preserving Fairness in AI under Domain Shift2
Using Constraint Propagation to Bound Linear Programs2
AAN+: Generalized Average Attention Network for Accelerating Neural Transformer2
PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime2
A Model to Support Collective Reasoning: Formalization, Analysis and Computational Assessment2
Path Counting for Grid-Based Navigation2
USN: A Robust Imitation Learning Method against Diverse Action Noise2
Robustness Distributions in Neural Network Verification2
Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models2
QCDCL vs QBF Resolution: Further Insights2
A Practical Approach to Discretised PDDL+ Problems by Translation to Numeric Planning2
On the Complexity of Finding Set Repairs for Data-Graphs2
Decentralized, Decomposition-Based Observation Scheduling for a Large-Scale Satellite Constellation2
Coopetition Against an Amazon2
ConSCompF: Consistency-focused Similarity Comparison Framework for Generative Large Language Models2
Cross-domain Constituency Parsing by Leveraging Heterogeneous Data2
DIGCN: A Dynamic Interaction Graph Convolutional Network Based on Learnable Proposals for Object Detection2
Sequence-Oriented Diagnosis of Discrete-Event Systems2
A Benchmark Study on Knowledge Graphs Enrichment and Pruning Methods in the Presence of Noisy Relationships2
The TOAD System for Totally Ordered HTN Planning2
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