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Optimization

14207 directly classified papers

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Decentralized, Epoch-based F2FS Journaling with Fine-grained Crash Recovery OSDI 2025
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems ACL 2025
Positive Text Reframing under Multi-strategy Optimization COLING 2025
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics COLING 2025
Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling OSDI 2025
PipeThreader: Software-Defined Pipelining for Efficient DNN Execution OSDI 2025
Efficient Dynamic Graphs Learning with Refined Batch Parallel Training IJCAI 2025
Understanding Silent Data Corruption in LLM Training ACL 2025
SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs ACL 2025
Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning ACL 2025
S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling ACL 2025
OptiPrune: Effective Pruning Approach for Every Target Sparsity COLING 2025
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace COLING 2025
RiOT: Efficient Prompt Refinement with Residual Optimization Tree ACL 2025
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts NAACL 2025
ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025
Adaptive Graph Unlearning IJCAI 2025
IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization ACL 2025
MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction NAACL 2025
Probe-Free Low-Rank Activation Intervention NAACL 2025
VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search ACL 2025
Prototype-based Optimal Transport for Out-of-Distribution Detection IJCAI 2025
Multi-Objective Neural Bandits with Random Scalarization IJCAI 2025
Dataset Distillation via the Wasserstein Metric ICCV 2025
Precise Integral in NeRFs: Overcoming the Approximation Errors of Numerical Quadrature WACV 2025