Optimization
17,731 papers
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Papers
Why Do Some Inputs Break Low-Bit LLM Quantization?
EMNLP 2025
Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg
ICML 2025
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
ICLR 2025
Witty: An Efficient Solver for Computing Minimum-Size Decision Trees
AAAI 2025
X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale
ICLR 2025
XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
EMNLP 2025
xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
ICLR 2025
XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression
EMNLP 2025
YinYang-Align: A new Benchmark for Competing Objectives and Introducing Multi-Objective Preference based Text-to-Image Alignment
ACL 2025
Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding
ACL 2025
YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model
ACL 2025
Z1: Efficient Test-time Scaling with Code
EMNLP 2025
ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization
OSDI 2025
ZERA: Zero-init Instruction Evolving Refinement Agent – From Zero Instructions to Structured Prompts via Principle-based Optimization
EMNLP 2025
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
ICML 2025
Zero-Shot Offline Imitation Learning via Optimal Transport
ICML 2025
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
ICCV 2025
Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
ICLR 2025
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
AAAI 2025
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference
ICLR 2025
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention
ICLR 2025
ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning
CoRL 2025
𝜙-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation
ACL 2025
β-DPO: Direct Preference Optimization with Dynamic β
NeurIPS 2024
$C^2M^3$: Cycle-Consistent Multi-Model Merging
NeurIPS 2024