sampling strategy

51 papers

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active learning (1295) text generation (2903) language model (4573) sampling method (109) neural machine translation (2310) data sampling (29) monolingual datum (76) large language model (12755) reinforcement learning (4122) information extraction (1071)

Papers

Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective AAAI 2026

Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation ACL 2025

Can a Neural Model Guide Fieldwork? A Case Study on Morphological Data Collection COLING 2025

Asking a Language Model for Diverse Responses EMNLP 2025

When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs EMNLP 2025

FastMCTS: A Simple Sampling Strategy for Data Synthesis ACL 2025

Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma? ICCV 2025

Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training CVPR 2025

HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation EMNLP 2025

TFG: Unified Training-Free Guidance for Diffusion Models NIPS 2024

Online Sampling and Decision Making with Low Entropy IJCAI 2024

Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD NIPS 2024

Resisting the Lure of the Skyline: Grounding Practices in Active Learning for Morphological Inflection ACL 2024

On Sampling Strategies for Spectral Model Sharding NIPS 2024

Generating Text from Language Models ACL 2023

Reconciling Competing Sampling Strategies of Network Embedding NIPS 2023

An Empirical Study on Active Learning for Multi-label Text Classification EACL 2023

Frequency Balanced Datasets Lead to Better Language Models EMNLP 2023

Reinforced Approximate Exploratory Data Analysis AAAI 2023

Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation EMNLP 2023

Oblivious near-optimal sampling for multidimensional signals with Fourier constraints AISTATS 2023

Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling ICML 2023

Entity Disambiguation on a Tight Labeling Budget EMNLP 2023

Stochastic Extragradient: General Analysis and Improved Rates AISTATS 2022