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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Optimization
14207 directly classified papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
Confidence-Driven Multi-Scale Model Selection for Cost-Efficient Inference
EACL 2026
PIRA: Preference-Oriented Instruction-Tuned Reward Models with Dual Aggregation
EACL 2026
ThinkPilot: Steering Reasoning Models via Automated Think-prefixes Optimization
EACL 2026
Attribute-Controlled Translation with Preference Optimization
EACL 2026
SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph
EACL 2026
ORSO QGen: Odds-Ratio Steerable Optimization for Controlling Question Generation
EACL 2026
Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute
EACL 2026
POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs
EACL 2026
How to Efficiently Explore Noisy Historical Data? Leveraging Corpus Pre-Targeting to Enhance Graph-based RAG
EACL 2026
Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts
EACL 2026
Joint Multimodal Preference Optimization for Fine-Grained Visual-Textual Alignment
EACL 2026
RB-LoRA: Rank-Balanced Aggregation for Low-Rank Adaptation with Federated Fine-Tuning
EACL 2026
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization
EACL 2026
Benchmarking the Energy Savings with Speculative Decoding Strategies
EACL 2026
Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure
EACL 2026
Unsupervised Text Style Transfer for Controllable Intensity
EACL 2026
Optimizer Choice and Calibration for QARiB on Arabic-Script Social Media Offensive Language Detection
EACL 2026
Take It All: Ensemble Retrieval for Multimodal Evidence Aggregation
EACL 2026
Learning to Ideate for Machine Learning Engineering Agents
EACL 2026
ReBPE: Iteratively Improving the Internal Structure of a Structured Tokeniser by Mining its Internal Structure
EACL 2026
Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access
AAAI 2026
HGATSolver: A Heterogeneous Graph Attention Solver for Fluid–Structure Interaction
AAAI 2026
Parallel Training Time-to-First-Spike Spiking Neural Networks
AAAI 2026
DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks
AAAI 2026
Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference
AAAI 2026
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