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 2022-05-01 to 2026-05-01.)

Article	Citations
Practical Parallel Algorithms for Non-Monotone Submodular Maximization	378
Optimality Guarantees for Particle Belief Approximation of POMDPs	145
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective	143
Procedural Fairness in Machine Learning	132
Can We Automate Scientific Reviewing?	122
Argumentative Reasoning in ASPIC+ under Incomplete Information	77
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization	74
Data-Driven Revision of Conditional Norms in Multi-Agent Systems	69
Program Synthesis with Best-First Bottom-Up Search	69
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering	61
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach	61
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?	55
Quantization Aware Factorization for Deep Neural Network Compression	52
Certified Knowledge Compilation with Application to Formally Verified Model Counting	51
Robust Reward Design for Markov Decision Processes	51
Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning	51
Uncertainty as a Fairness Measure	45
A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions	42
Strategy Graphs for Influence Diagrams	40
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training	39
Iterative Train Scheduling under Disruption with Maximum Satisfiability	39
The State of Computer Vision Research in Africa	38
Queries With Exact Truth Values on Concept and Role Atoms in Paraconsistent Description Logics	32
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities	31
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model	30

AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions	29
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks	29
Low-Rank Representation of Reinforcement Learning Policies	25
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?	23
Threshold Treewidth and Hypertree Width	23
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length	23
Conditional Relative Frequency Distributions with Undefined Observations and Generalized Fuzzy Orthopartitions	23
Trustworthy Transfer Learning: A Survey	22
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue	20
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression	20
Evolutionary Dynamics and Phi-Regret Minimization in Games	20
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains	19
Introduction to the Special Track on Artificial Intelligence and COVID-19	17
WorldView-Bench: A Benchmark for Evaluating Global Cultural Perspectives in Large Language Models	17
On Expected Value Strong Controllability	17
Learning to Design Fair and Private Voting Rules	17
Flexible FOND Planning with Explicit Fairness Assumptions	17
Approximating Proportional and Maximin Allocations on D-Claw-Free Graphs	16
Reasoning over Streams of Events with Delayed Effects	16
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery	16
Classes of Hard Formulas for QBF Resolution	16
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom	16
Initialization of Feature Selection Search for Classification	15
Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance	15
AI for All: Identifying AI incidents Related to Diversity and Inclusion	15
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time	15
Learning to Resolve Social Dilemmas: A Survey	15
Boolean Observation Games	14
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation	14
Digraph k-Coloring Games: New Algorithms and Experiments	13
Estimating Agent Skill in Continuous Action Domains	13
Probabilistically Tightened Linear Relaxation-based Perturbation Analysis for Neural Network Verification	13
Methods for Recovering Conditional Independence Graphs: A Survey	13
Quantifying Query Fairness Under Unawareness	13
Finite Materialisability of Datalog Programs with Metric Temporal Operators	13
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings	13
Incremental Learning Methodologies for Addressing Catastrophic Forgetting: Analysis and Experimental Evaluation	12
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges	12
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?	12
MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks	12
Ordinal Maximin Share Approximation for Goods	12
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization	12
Proof Theory and Decision Procedures for Deontic STIT Logics	12
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations	12
Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling	12
Diagnosing AI Explanation Methods with Folk Concepts of Behavior	12
ModelStar: Reachability Analysis-based Safety Verification of Neural Networks Against Model Perturbations	11
Integrating Column Generation and Large Neighborhood Search for Bus Driver Scheduling with Complex Break Constraints	11
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions	10
Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction	10

A Survey on Data Selection for LLM Instruction Tuning	10
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems	10
Proactive Dynamic Distributed Constraint Optimization Problems	10
Impact of Imputation Strategies on Fairness in Machine Learning	10
Exploiting Functional Constraints in Automatic Dominance Breaking for Constraint Optimization	10
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods	10
Towards Generalist Robot Learning from Internet Video: A Survey	9
MA-LAMA: Exploiting the Multi-Agent Nature of Temporal Planning Problems	9
Towards an Ontology-Driven Approach to Document Bias	9
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems	9
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities	9
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer	9
From Single-Objective to Bi-Objective Maximum Satisfiability Solving	9
Maximisation of Admissible Multi-Objective Heuristics	9
On the Evaluation of (Meta-)solver Approaches	9
Finding and Recognizing Popular Coalition Structures	8
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis	8
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation	8
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks	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
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty	8
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming	8
Non-Crossing Anonymous MAPF for Tethered Robots	8
The Complexity of Matching Games: A Survey	7
Core Challenges in Embodied Vision-Language Planning	7
The Winnability of Klondike Solitaire and Many Other Patience Games	7
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm	7
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning	7
A Review of Pseudo-Labeling for Computer Vision	7
Computational Machine Ethics: A Survey	7
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC	7
Inductive Logic Programming At 30: A New Introduction	7
Forgetting in Abstract Argumentation: Limits and Possibilities	6
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation	6
Abductive Reasoning in Expansions of Belnap-Dunn Logic	6
On Dynamics in Structured Argumentation Formalisms	6
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management	6
ℵ-IPOMDP: Mitigating Deception in a Cognitive Hierarchy with Off-Policy Counterfactual Anomaly Detection	6
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey	6
Revisiting SAT-based Solvers: MaxSAT Rules and Core Sequences	6
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach	6
Improving Mutual Information Based Feature Selection by Boosting Unique Relevance	6
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation	6
Automatically Finding the Right Probabilities in Bayesian Networks	6
The Complexity of Subelection Isomorphism Problems	6
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees	6