OOIR: Observatory of International 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 2021-05-01 to 2025-05-01.)

Article	Citations
Flexible Bayesian Nonlinear Model Configuration	185
Optimality Guarantees for Particle Belief Approximation of POMDPs	156
Practical Parallel Algorithms for Non-Monotone Submodular Maximization	111
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective	93
Graph Kernels: A Survey	87
Can We Automate Scientific Reviewing?	75
Quantization Aware Factorization for Deep Neural Network Compression	74
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?	72
The State of Computer Vision Research in Africa	67
Program Synthesis with Best-First Bottom-Up Search	60
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach	60
Certified Knowledge Compilation with Application to Formally Verified Model Counting	58
Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning	57
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions	55
Fairness in Influence Maximization through Randomization	49
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities	47
Iterative Train Scheduling under Disruption with Maximum Satisfiability	46
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks	45
Learning Optimal Decision Sets and Lists with SAT	41
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel	39
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model	38
Uncertainty as a Fairness Measure	35
Data-Driven Revision of Conditional Norms in Multi-Agent Systems	34
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques	34
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization	32

Strategy Graphs for Influence Diagrams	29
Efficient Local Search based on Dynamic Connectivity Maintenance for Minimum Connected Dominating Set	28
Threshold Treewidth and Hypertree Width	28
Low-Rank Representation of Reinforcement Learning Policies	28
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?	27
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge	25
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue	23
Evolutionary Dynamics and Phi-Regret Minimization in Games	23
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression	21
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains	20
Learning to Design Fair and Private Voting Rules	19
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length	19
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom	18
Learning to Resolve Social Dilemmas: A Survey	17
Classes of Hard Formulas for QBF Resolution	17
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation	17
On Expected Value Strong Controllability	17
Flexible FOND Planning with Explicit Fairness Assumptions	17
Introduction to the Special Track on Artificial Intelligence and COVID-19	17
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time	16
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery	16
Initialization of Feature Selection Search for Classification	16
Finite Materialisability of Datalog Programs with Metric Temporal Operators	15
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective	15
Predicting Decisions in Language Based Persuasion Games	14
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with an Application to False-name Manipulation	14
Boolean Observation Games	14
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions	12
Methods for Recovering Conditional Independence Graphs: A Survey	12
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings	11
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations	11
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization	11
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits	11
Digraph k-Coloring Games: New Algorithms and Experiments	11
Quantum Mathematics in Artificial Intelligence	10
MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks	10
Ordinal Maximin Share Approximation for Goods	10
Estimating Agent Skill in Continuous Action Domains	10
Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling	10
Proof Theory and Decision Procedures for Deontic STIT Logics	10
Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning	10
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges	9
Proactive Dynamic Distributed Constraint Optimization Problems	9
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods	9
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers	8
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions	8
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems	8
Impact of Imputation Strategies on Fairness in Machine Learning	8
Diagnosing AI Explanation Methods with Folk Concepts of Behavior	8
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer	8

Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?	8
From Single-Objective to Bi-Objective Maximum Satisfiability Solving	8
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems	8
Exploiting Functional Constraints in Automatic Dominance Breaking for Constraint Optimization	8
On the Parallel Parameterized Complexity of MaxSAT Variants	7
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming	7
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation	7
Non-Crossing Anonymous MAPF for Tethered Robots	7
Maximisation of Admissible Multi-Objective Heuristics	7
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features	7
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty	7
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities	7
On the Evaluation of (Meta-)solver Approaches	7
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis	7
Finding and Recognizing Popular Coalition Structures	6
Inductive Logic Programming At 30: A New Introduction	6
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC	6
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation	6
Core Challenges in Embodied Vision-Language Planning	6
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection	6
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey	6
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation	6
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks	6
Doubly Robust Crowdsourcing	6
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm	6
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning	6
Forgetting in Abstract Argumentation: Limits and Possibilities	5
Mixed Fair Division: A Survey	5
Computational Machine Ethics: A Survey	5
Automatically Finding the Right Probabilities in Bayesian Networks	5
Pure Nash Equilibria in Resource Graph Games	5
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes	5
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models	5
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks	5
Neural Character-Level Syntactic Parsing for Chinese	5
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management	5
The Complexity of Matching Games: A Survey	5
Finding the Hardest Formulas for Resolution	5
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees	5
Amortized Variational Inference: A Systematic Review	5
Analysis of the Impact of Randomization of Search-Control Parameters in Monte-Carlo Tree Search	5
On Dynamics in Structured Argumentation Formalisms	5
The Complexity of Subelection Isomorphism Problems	5
Improving Mutual Information Based Feature Selection by Boosting Unique Relevance	5
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach	5