1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2026
GRIP: Geometric Refinement and Adaptive Information Potential for Data Efficiency
Changhao Wang, Jiaolong Yang, Xinhao Yao +7
The performance of Large Language Models (LLMs) is increasingly governed by data efficiency rather than raw scaling volume. However, existing selection methods often decouple globa…
cs.LG2023★ 1 cited
Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System
Daphne Ippolito, Nicholas Carlini, Katherine Lee +2
Neural language models are increasingly deployed into APIs and websites that allow a user to pass in a prompt and receive generated text. Many of these systems do not reveal genera…