Showing cs.CLShow all
3 papers · 1 filter
cs.CL2024
Third-Party Language Model Performance Prediction from Instruction
Rahul Nadkarni, Yizhong Wang, Noah A. Smith
Language model-based instruction-following systems have lately shown increasing performance on many benchmark tasks, demonstrating the capability of adapting to a broad variety of…
cs.CL2024
Set the Clock: Temporal Alignment of Pretrained Language Models
Bowen Zhao, Zander Brumbaugh, Yizhong Wang +2
Language models (LMs) are trained on web text originating from many points in time and, in general, without any explicit temporal grounding. This work investigates the temporal cha…
cs.CL2023
Language Models: A Guide for the Perplexed
Sofia Serrano, Zander Brumbaugh, Noah A. Smith
Given the growing importance of AI literacy, we decided to write this tutorial to help narrow the gap between the discourse among those who study language models -- the core techno…