Theory
5,579 papers
Papers per year
1
2
3
3
9
4
32
25
33
25
39
38
47
78
67
80
103
156
267
383
486
592
713
822
805
612
154
2000
'5
'10
'15
'20
'25
Papers
Emergence of a High-Dimensional Abstraction Phase in Language Transformers
ICLR 2025
Empirical Study on Data Attributes Insufficiency of Evaluation Benchmarks for LLMs
COLING 2025
Empowering LLMs with Logical Reasoning: A Comprehensive Survey
IJCAI 2025
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
AAAI 2025
Equilibria of the Colonel Blotto Games with Costs
AAAI 2025
Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
ICLR 2025
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent
AAAI 2025
Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification
AAAI 2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
JMLR 2025
Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
UAI 2025
ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge
EMNLP 2025
Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework
NAACL 2025
Evaluating LLMs with Multiple Problems at once
ACL 2025
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
ICLR 2025
Evaluating Sensitivity Consistency of Explanations
WACV 2025
Evaluating the Consistency of LLM Evaluators
COLING 2025
Evaluation and Incident Prevention in an Enterprise AI Assistant
AAAI 2025
Even-if Explanations: Formal Foundations, Priorities and Complexity
AAAI 2025
Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
IJCAI 2025
EvolveBench: A Comprehensive Benchmark for Assessing Temporal Awareness in LLMs on Evolving Knowledge
ACL 2025
Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence
ICML 2025
Examining False Positives under Inference Scaling for Mathematical Reasoning
EMNLP 2025
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach
AAAI 2025
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
IJCAI 2025
Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint)
IJCAI 2025