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 2021-06-01 to 2025-06-01.)

Article	Citations
Optimality Guarantees for Particle Belief Approximation of POMDPs	192
Practical Parallel Algorithms for Non-Monotone Submodular Maximization	178
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective	116
Flexible Bayesian Nonlinear Model Configuration	102
Graph Kernels: A Survey	89
Can We Automate Scientific Reviewing?	80
Quantization Aware Factorization for Deep Neural Network Compression	79
Certified Knowledge Compilation with Application to Formally Verified Model Counting	77
Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning	74
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model	62
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?	62
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks	57
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions	57
Learning Optimal Decision Sets and Lists with SAT	53
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel	52
Data-Driven Revision of Conditional Norms in Multi-Agent Systems	47
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques	46
Strategy Graphs for Influence Diagrams	45
Uncertainty as a Fairness Measure	44
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities	41
Program Synthesis with Best-First Bottom-Up Search	40
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach	38
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization	37
The State of Computer Vision Research in Africa	36
Fairness in Influence Maximization through Randomization	31

Iterative Train Scheduling under Disruption with Maximum Satisfiability	31
Threshold Treewidth and Hypertree Width	29
Low-Rank Representation of Reinforcement Learning Policies	29
Evolutionary Dynamics and Phi-Regret Minimization in Games	28
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge	28
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue	24
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression	23
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?	21
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length	21
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains	20
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom	19
Introduction to the Special Track on Artificial Intelligence and COVID-19	19
Flexible FOND Planning with Explicit Fairness Assumptions	19
Classes of Hard Formulas for QBF Resolution	18
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time	18
On Expected Value Strong Controllability	18
Learning to Design Fair and Private Voting Rules	18
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery	18
Learning to Resolve Social Dilemmas: A Survey	17
Initialization of Feature Selection Search for Classification	17
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective	16
Boolean Observation Games	16
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation	16
Finite Materialisability of Datalog Programs with Metric Temporal Operators	16
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with an Application to False-name Manipulation	15
Predicting Decisions in Language Based Persuasion Games	14
Methods for Recovering Conditional Independence Graphs: A Survey	12
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings	12
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization	12
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits	12
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions	12
Digraph k-Coloring Games: New Algorithms and Experiments	12
MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks	11
Quantum Mathematics in Artificial Intelligence	11
Ordinal Maximin Share Approximation for Goods	11
Estimating Agent Skill in Continuous Action Domains	11
Proof Theory and Decision Procedures for Deontic STIT Logics	11
Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning	10
Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling	10
Proactive Dynamic Distributed Constraint Optimization Problems	10
Impact of Imputation Strategies on Fairness in Machine Learning	10
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers	10
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?	10
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges	10
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations	10
Diagnosing AI Explanation Methods with Folk Concepts of Behavior	9
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems	9
Exploiting Functional Constraints in Automatic Dominance Breaking for Constraint Optimization	9
From Single-Objective to Bi-Objective Maximum Satisfiability Solving	9
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods	9

Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems	9
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer	8
Non-Crossing Anonymous MAPF for Tethered Robots	8
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty	8
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities	8
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation	8
Finding and Recognizing Popular Coalition Structures	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	8
On the Evaluation of (Meta-)solver Approaches	8
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks	7
Doubly Robust Crowdsourcing	7
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC	7
On the Parallel Parameterized Complexity of MaxSAT Variants	7
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features	7
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning	7
Inductive Logic Programming At 30: A New Introduction	7
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming	7
Core Challenges in Embodied Vision-Language Planning	7
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection	7
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation	6
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey	6
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management	6
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm	6
Pure Nash Equilibria in Resource Graph Games	6
On Dynamics in Structured Argumentation Formalisms	6
The Complexity of Subelection Isomorphism Problems	6
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation	6
Automatically Finding the Right Probabilities in Bayesian Networks	6
Computational Machine Ethics: A Survey	6
Improving Mutual Information Based Feature Selection by Boosting Unique Relevance	5
Forgetting in Abstract Argumentation: Limits and Possibilities	5
Information Lattice Learning	5
Analysis of the Impact of Randomization of Search-Control Parameters in Monte-Carlo Tree Search	5
Actor Prioritized Experience Replay	5
Amortized Variational Inference: A Systematic Review	5
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach	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
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes	5
The Complexity of Matching Games: A Survey	5
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees	5
Mixed Fair Division: A Survey	5
Finding the Hardest Formulas for Resolution	5
Neural Character-Level Syntactic Parsing for Chinese	5