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Optimization & Theory

7,804 papers (27 classified directly here)

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Papers (including subtopics)

Consistency Trajectory Matching for One-Step Generative Super-Resolution ICCV 2025 ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints ICCV 2025 Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D EMNLP 2025 Contrasting Adversarial Perturbations: The Space of Harmless Perturbations AAAI 2025 Convergence and Divergence of Language Models under Different Random Seeds EMNLP 2025 Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models ACL 2025 CopySpec: Accelerating LLMs with Speculative Copy-and-Paste EMNLP 2025 CORAL: Learning Consistent Representations across Multi-step Training with Lighter Speculative Drafter ACL 2025 CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation ACL 2025 COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism AAAI 2025 Cost-Optimal Grouped-Query Attention for Long-Context Modeling EMNLP 2025 COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection EMNLP 2025 Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent AAAI 2025 Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity ACL 2025 Critical Influence of Overparameterization on Sharpness-aware Minimization UAI 2025 Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality EMNLP 2025 Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge ACL 2025 CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation AAAI 2025 CTBench: A Library and Benchmark for Certified Training ICML 2025 CUET_SR34 at CQs-Gen 2025: Critical Question Generation via Few-Shot LLMs – Integrating NER and Argument Schemes ACL 2025 Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation CVPR 2025 Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases ACL 2025 D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models AAAI 2025 DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression ACL 2025 DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration ACL 2025