OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Artificial Intelligence Research is 6. 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.)

Article	Citations
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective	168
Procedural Fairness in Machine Learning	153
Argumentative Reasoning in ASPIC+ under Incomplete Information	153
How to DP-Fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy	145
Optimality Guarantees for Particle Belief Approximation of POMDPs	96
Can We Automate Scientific Reviewing?	84
An Empirical Comparison of Cost Functions in Inductive Logic Programming	63
Hierarchical Reinforcement Learning with Optimal Level Synchronization Based on Flow-Based Deep Generative Model	62
Practical Parallel Algorithms for Non-Monotone Submodular Maximization	56
Program Synthesis with Best-First Bottom-Up Search	55
Quantization Aware Factorization for Deep Neural Network Compression	54
Robust Reward Design for Markov Decision Processes	49
Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning	48
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training	45
Certified Knowledge Compilation with Application to Formally Verified Model Counting	45
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks	44
Computational Approaches to Automatic Poetry Generation and Evaluation: A Survey	42
Iterative Train Scheduling under Disruption with Maximum Satisfiability	42
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model	34
Queries With Exact Truth Values on Concept and Role Atoms in Paraconsistent Description Logics	34
The State of Computer Vision Research in Africa	31
Data-Driven Revision of Conditional Norms in Multi-Agent Systems	30
Uncertainty as a Fairness Measure	27
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?	27
Strategy Graphs for Influence Diagrams	26

Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization	25
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions	24
A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions	24
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering	23
De-biasing Facial Albedo Estimation via Visual-Textual Cues	22
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach	22
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities	22
Low-Rank Representation of Reinforcement Learning Policies	21
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length	20
Threshold Treewidth and Hypertree Width	20
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?	20
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression	19
Trustworthy Transfer Learning: A Survey	18
WorldView-Bench: A Benchmark for Evaluating Global Cultural Perspectives in Large Language Models	18
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue	18
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains	17
Conditional Relative Frequency Distributions with Undefined Observations and Generalized Fuzzy Orthopartitions	17
Introduction to the Special Track on Artificial Intelligence and COVID-19	16
Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance	16
Reasoning over Streams of Events with Delayed Effects	16
On Expected Value Strong Controllability	16
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom	15
Approximating Proportional and Maximin Allocations on D-Claw-Free Graphs	15
Classes of Hard Formulas for QBF Resolution	15
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time	15
AI for All: Identifying AI incidents Related to Diversity and Inclusion	14
Learning to Resolve Social Dilemmas: A Survey	14
Initialization of Feature Selection Search for Classification	14
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery	14
Finite Materialisability of Datalog Programs with Metric Temporal Operators	13
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation	13
Learning to Design Fair and Private Voting Rules	13
Digraph k-Coloring Games: New Algorithms and Experiments	13
Boolean Observation Games	13
MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks	12
Estimating Agent Skill in Continuous Action Domains	12
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization	12
ModelStar: Reachability Analysis-based Safety Verification of Neural Networks Against Model Perturbations	12
Diagnosing AI Explanation Methods with Folk Concepts of Behavior	11
It’s About Time: Temporal References in Emergent Communication	11
Proof Theory and Decision Procedures for Deontic STIT Logics	11
Methods for Recovering Conditional Independence Graphs: A Survey	11
Probabilistically Tightened Linear Relaxation-based Perturbation Analysis for Neural Network Verification	11
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations	11
Quantifying Query Fairness Under Unawareness	11
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings	10
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods	10
Incremental Learning Methodologies for Addressing Catastrophic Forgetting: Analysis and Experimental Evaluation	10
Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling	9
From Single-Objective to Bi-Objective Maximum Satisfiability Solving	9

Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems	9
A Survey on Data Selection for LLM Instruction Tuning	9
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges	9
Towards an Ontology-Driven Approach to Document Bias	9
Exploiting Functional Constraints in Automatic Dominance Breaking for Constraint Optimization	9
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?	9
Integrating Column Generation and Large Neighborhood Search for Bus Driver Scheduling with Complex Break Constraints	9
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer	9
The Winnability of Klondike Solitaire and Many Other Patience Games	8
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks	8
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities	8
On the Evaluation of (Meta-)solver Approaches	8
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming	8
Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction	8
MA-LAMA: Exploiting the Multi-Agent Nature of Temporal Planning Problems	8
On the Parallel Parameterized Complexity of MaxSAT Variants	8
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection	8
Towards Generalist Robot Learning from Internet Video: A Survey	8
Maximisation of Admissible Multi-Objective Heuristics	8
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions	8
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis	7
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty	7
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning	7
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation	7
A Review of Pseudo-Labeling for Computer Vision	7
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey	7
Non-Crossing Anonymous MAPF for Tethered Robots	7
Efficiently Negative: Complexity and Approximations of Targeted Negative Campaigning	7
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC	7
ℵ-IPOMDP: Mitigating Deception in a Cognitive Hierarchy with Off-Policy Counterfactual Anomaly Detection	6
The Complexity of Subelection Isomorphism Problems	6
Automatically Finding the Right Probabilities in Bayesian Networks	6
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees	6
Abductive Reasoning in Expansions of Belnap-Dunn Logic	6
The Complexity of Matching Games: A Survey	6
Revisiting SAT-based Solvers: MaxSAT Rules and Core Sequences	6
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation	6
Computational Machine Ethics: A Survey	6
Multi-Agent Pathfinding Under Team-Connected Communication Constraint via Adaptive Path Expansion and Dynamic Leading	6
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm	6
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management	6
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation	6
Improving Mutual Information Based Feature Selection by Boosting Unique Relevance	6
Forgetting in Abstract Argumentation: Limits and Possibilities	6
On Dynamics in Structured Argumentation Formalisms	6