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← Optimization & Theory
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Optimization & Theory
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Theory
4950 directly classified papers
Papers per year
2000: 1
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2002: 3
2003: 3
2004: 9
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2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
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2020: 447
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2022: 646
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2024: 670
2025: 426
2026: 128
Papers
Proof Systems That Tightly Characterise Model Counting Algorithms
AAAI 2026
Model Counting for Dependency Quantified Boolean Formulas
AAAI 2026
Using Constraint Solvers to Construct Binary Codes with Good Error Correction Performance
AAAI 2026
A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions
CVPR 2025
Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer
ICCV 2025
Test-time Augmentation Improves Efficiency in Conformal Prediction
CVPR 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
CVPR 2025
Understanding Multi-layered Transmission Matrices
CVPR 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
MambaOut: Do We Really Need Mamba for Vision?
CVPR 2025
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective
ICCV 2025
Fingerprinting LLMs through Survey Item Factor Correlation: A Case Study on Humor Style Questionnaire
EMNLP 2025
When LRP Diverges from Leave-One-Out in Transformers
EMNLP 2025
Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark
EMNLP 2025
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments
EMNLP 2025
Stress-Testing the Reasoning Competence of Language Models With Formal Proofs
EMNLP 2025
Do Influence Functions Work on Large Language Models?
EMNLP 2025
Hallucination Detection in Structured Query Generation via LLM Self-Debating
EMNLP 2025
Benchmarking Critical Questions Generation: A Challenging Reasoning Task for Large Language Models
EMNLP 2025
Randomized Smoothing Meets Vision-Language Models
EMNLP 2025
Machine-generated text detection prevents language model collapse
EMNLP 2025
ThinkSLM: Towards Reasoning in Small Language Models
EMNLP 2025
Reliable Evaluation and Benchmarks for Statement Autoformalization
EMNLP 2025
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
EMNLP 2025
Metric Calculating Benchmark: Code-Verifiable Complicate Instruction Following Benchmark for Large Language Models
EMNLP 2025
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