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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs EACL 2026
Take It All: Ensemble Retrieval for Multimodal Evidence Aggregation EACL 2026
Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models EACL 2026
How to Efficiently Explore Noisy Historical Data? Leveraging Corpus Pre-Targeting to Enhance Graph-based RAG EACL 2026
Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios EACL 2026
Balancing Fluency and Adherence: Hybrid Fallback Term Injection in Low-Resource Terminology Translation EACL 2026
CTC Regularization for Low-Resource Speech-to-Text Translation EACL 2026
DevLake at LoResMT 2026: The Impact of Pre-training and Model Scale on Russian-Bashkir Low-Resource Translation EACL 2026
Diversity patterns run deep: Impact of diversity intake on multiword expression identification EACL 2026
ParsCORE: The Persian Corpus of Online Registers EACL 2026
Syllable Structures Across Arabic Varieties EACL 2026
Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts EACL 2026
Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding EACL 2026
NUS-IDS at AMIYA/VarDial 2026: Improving Arabic Dialectness in LLMs with Reinforcement Learning EACL 2026
Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control AAAI 2026
SIDE: Surrogate Conditional Data Extraction from Diffusion Models AAAI 2026
ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics AAAI 2026
DensiCrafter: Physically-Constrained Generation and Fabrication of Self-Supporting Hollow Structures AAAI 2026
OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning AAAI 2026
Energy-based Autoregressive Generation for Neural Population Dynamics AAAI 2026
Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges AAAI 2026
Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling AAAI 2026
HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction AAAI 2026
Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability AAAI 2026
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels AAAI 2026