Fine-grained Affective Processing Capabilities Emerging from Large Language Models

4 September 2023

Papers citing "Fine-grained Affective Processing Capabilities Emerging from Large Language Models"

7 / 7 papers shown

Title
Mechanistic Interpretability of Emotion Inference in Large Language Models Ala Nekouvaght Tak Amin Banayeeanzade Anahita Bolourani Mina Kian Robin Jia Jonathan Gratch 100 0 0 08 Feb 2025
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction Michiel van der Meer Myrthe Reuver Urja Khurana Lea Krause Selene Báez Santamaría 69 14 0 19 Sep 2022
Open Aspect Target Sentiment Classification with Natural Language Prompts Ronald Seoh Ian Birle Mrinal Tak Haw-Shiuan Chang B. Pinette Alfred Hough 78 64 0 08 Sep 2021
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 230 3,782 0 03 Sep 2021
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections Ruiqi Zhong Kristy Lee Zheng Zhang Dan Klein 97 173 0 10 Apr 2021
How Many Data Points is a Prompt Worth? Teven Le Scao Alexander M. Rush VLM 160 302 0 15 Mar 2021
SemEval-2017 Task 4: Sentiment Analysis in Twitter Sara Rosenthal N. Farra Preslav Nakov VLM 92 799 0 02 Dec 2019