all AI news
Paper (NAACL 2024): why LLMs cannot be used for everyday fact checking, on the reversal problem, on the solution to the reversal problem, and a lot more
March 28, 2024, 2:57 a.m. | /u/payam_ka
Natural Language Processing www.reddit.com
Here is the list of things that you can find in the paper:
- We reveal that large commercial language models cannot be used for every day fact checking tasks.
- We argue that evaluating the fact checking pipeline across websites does not fully demonstrate model transferability, and instead, propose a straightforward way to repurpose existing datasets for the task.
- We empirically show that when the fact checking pipeline is trained on …
commercial datasets every language language models languagetechnology list paper pipeline tasks websites
More from www.reddit.com / Natural Language Processing
Found a Way to Keep Transcripts Going 24/7
1 day, 9 hours ago |
www.reddit.com
Anyone working on mathematics of transformers?
2 days, 17 hours ago |
www.reddit.com
What Do You Love About NLP?
3 days, 5 hours ago |
www.reddit.com
How to Install and Deploy LLaMA 3 Into Production
3 days, 22 hours ago |
www.reddit.com
The Languages AI Is Leaving Behind
6 days, 22 hours ago |
www.reddit.com
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Reporting & Data Analytics Lead (Sizewell C)
@ EDF | London, GB
Data Analyst
@ Notable | San Mateo, CA