5 citations · 11 across the 7 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CL2023
Large Language Models as Sous Chefs: Revising Recipes with GPT-3
Alyssa Hwang, Bryan Li, Zhaoyi Hou +1
With their remarkably improved text generation and prompting capabilities, large language models can adapt existing written information into forms that are easier to use and unders…
cs.CL2023
This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models
Bryan Li, Samar Haider, Chris Callison-Burch
Do the Spratly Islands belong to China, the Philippines, or Vietnam? A pretrained large language model (LLM) may answer differently if asked in the languages of each claimant count…
cs.CL2023
PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale
Bryan Li, Chris Callison-Burch
Existing question answering (QA) systems owe much of their success to large, high-quality training data. Such annotation efforts are costly, and the difficulty compounds in the cro…