Theory

An Analysis of Datasets, Metrics and Models in Keyphrase Generation ACL 2025 An And-Sum Circuit with Signed Edges That Is More Succinct than SDD AAAI 2025 An Axiomatic Definition of Hierarchical Clustering JMLR 2025 An Effective Theory of Bias Amplification ICLR 2025 A New Perspective on Shampoo's Preconditioner ICLR 2025 An Inversion-based Measure of Memorization for Diffusion Models ICCV 2025 A No Free Lunch Theorem for Human-AI Collaboration AAAI 2025 A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language ICLR 2025 A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025 Are Large Language Models Fluent in Declarative Process Mining? IJCAI 2025 Arena-lite: Efficient and Reliable Large Language Model Evaluation via Tournament-Based Direct Comparisons EMNLP 2025 A Renormalization Group Framework for Scale-Invariant Feature Learning in Deep Neural Networks (Student Abstract) AAAI 2025 A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny ACL 2025 A Second-Order Perspective on Model Compositionality and Incremental Learning ICLR 2025 A Solvable Attention for Neural Scaling Laws ICLR 2025 Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law Evaluation EMNLP 2025 Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies IJCAI 2025 Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation IJCNLP 2025 Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models IJCNLP 2025 Assessing the Sensitivity and Alignment of FOL Closeness Metrics EMNLP 2025 Assessing the State of the Art in Scene Segmentation NAACL 2025 Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance WACV 2025 AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity EMNLP 2025 Assumption-lean and data-adaptive post-prediction inference JMLR 2025 A statistical perspective on algorithm unrolling models for inverse problems JMLR 2025