Cover Image

SIEVE: Sample-Efficient Parametric Learning from Natural Language

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Asawa, Parth, Dimakis, Alexandros G., Zaharia, Matei
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models
by: Asawa, Parth, et al.
Published: (2025)

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation
by: Zhu, Alan, et al.
Published: (2025)

$L^*LM$: Learning Automata from Examples using Natural Language Oracles
by: Vazquez-Chanlatte, Marcell, et al.
Published: (2024)

Long Context RAG Performance of Large Language Models
by: Leng, Quinn, et al.
Published: (2024)

Semantic Operators: A Declarative Model for Rich, AI-based Data Processing
by: Patel, Liana, et al.
Published: (2024)

When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models
by: Sanyal, Sunny, et al.
Published: (2024)

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
by: Opsahl-Ong, Krista, et al.
Published: (2024)

Drowning in Documents: Consequences of Scaling Reranker Inference
by: Jacob, Mathew, et al.
Published: (2024)

EvoX: Meta-Evolution for Automated Discovery
by: Liu, Shu, et al.
Published: (2026)

CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts
by: Sheokand, Manik, et al.
Published: (2025)

ScenicNL: Generating Probabilistic Scenario Programs from Natural Language
by: Elmaaroufi, Karim, et al.
Published: (2024)

vCache: Verified Semantic Prompt Caching
by: Schroeder, Luis Gaspar, et al.
Published: (2025)

LangProBe: a Language Programs Benchmark
by: Tan, Shangyin, et al.
Published: (2025)

The Price Reversal Phenomenon: When Cheaper Reasoning Models Cost More
by: Chen, Lingjiao, et al.
Published: (2026)

Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems
by: Chen, Lingjiao, et al.
Published: (2024)

Optimizing Model Selection for Compound AI Systems
by: Chen, Lingjiao, et al.
Published: (2025)

Efficient Alignment of Large Language Models via Data Sampling
by: Khera, Amrit, et al.
Published: (2024)

PRISM: Parametrically Refactoring Inference for Speculative Sampling Draft Models
by: Wang, Xuliang, et al.
Published: (2026)

Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
by: Hong, Joey, et al.
Published: (2025)

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
by: Liu, Zirui, et al.
Published: (2023)

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision
by: Ito, Aoi, et al.
Published: (2024)

Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning
by: Tsai, Yao-Hung Hubert, et al.
Published: (2024)

Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models
by: Zhang, Fuxiang, et al.
Published: (2024)

Natural Language Reinforcement Learning
by: Feng, Xidong, et al.
Published: (2024)

Natural Language Reinforcement Learning
by: Feng, Xidong, et al.
Published: (2024)

Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
by: Wang, Qianli, et al.
Published: (2024)

Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models
by: Lou, Xingzhou, et al.
Published: (2024)

Data Efficient Evaluation of Large Language Models and Text-to-Image Models via Adaptive Sampling
by: Xu, Cong, et al.
Published: (2024)

Language models scale reliably with over-training and on downstream tasks
by: Gadre, Samir Yitzhak, et al.
Published: (2024)

Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
by: Daras, Giannis, et al.
Published: (2024)

Efficient Sample-Specific Encoder Perturbations
by: Fathullah, Yassir, et al.
Published: (2024)

Explaining Text Similarity in Transformer Models
by: Vasileiou, Alexandros, et al.
Published: (2024)

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
by: Wang, Hanrui, et al.
Published: (2020)

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
by: Schröder, Christopher, et al.
Published: (2024)

Progressive Mixed-Precision Decoding for Efficient LLM Inference
by: Chen, Hao Mark, et al.
Published: (2024)

Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language Models
by: Mastromattei, Michele, et al.
Published: (2024)

Corrector Sampling in Language Models
by: Gat, Itai, et al.
Published: (2025)

MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
by: Liu, Gabrielle Kaili-May, et al.
Published: (2025)

Reasoning-Grounded Natural Language Explanations for Language Models
by: Cahlik, Vojtech, et al.
Published: (2025)

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
by: Lingam, Vijay, et al.
Published: (2024)