Framing the News:From Human Perception to Large Language Model Inferences

27 April 2023

Papers citing "Framing the News:From Human Perception to Large Language Model Inferences"

6 / 6 papers shown

Title
A Dataset for Analysing News Framing in Chinese Media Owen Cook Yida Mu Xinye Yang Xingyi Song Kalina Bontcheva 67 1 0 06 Mar 2025
LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content Mohamed Bayan Kmainasi Ali Ezzat Shahroor Maram Hasanain Sahinur Rahman Laskar Naeemul Hassan Firoj Alam 31 1 0 20 Oct 2024
RAFT: A Real-World Few-Shot Text Classification Benchmark Neel Alex Eli Lifland Lewis Tunstall A. Thakur Pegah Maham ... Carolyn Ashurst Paul Sedille A. Carlier M. Noetel Andreas Stuhlmuller RALM 184 56 0 28 Sep 2021
Constrained Language Models Yield Few-Shot Semantic Parsers Richard Shin C. H. Lin Sam Thomson Charles C. Chen Subhro Roy Emmanouil Antonios Platanios Adam Pauls Dan Klein J. Eisner Benjamin Van Durme 295 198 0 18 Apr 2021
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models Alex Tamkin Miles Brundage Jack Clark Deep Ganguli AILaw ELM 200 259 0 04 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,919 0 31 Dec 2020