Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3)

16 May 2024

Papers citing "Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3)"

8 / 8 papers shown

Title
Emotion Alignment: Discovering the Gap Between Social Media and Real-World Sentiments in Persian Tweets and Images Sina Elahimanesh Mohammadali Mohammadkhani Shohreh Kasaei 24 0 0 14 Apr 2025
Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment Melissa Kazemi Rad Huy Nghiem Andy Luo Sahil Wadhwa Mohammad Sorower Stephen Rawls AAML 93 2 0 22 Jan 2025
Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Raha Aghaei Ali A. Kiaei Mahnaz Boush Javad Vahidi Mohammad Zavvar Zeynab Barzegar Mahan Rofoosheh OffRL 38 1 0 18 Jan 2025
In-Context Learning for Long-Context Sentiment Analysis on Infrastructure Project Opinions Alireza Shamshiri Kyeong Rok Ryu June Young Park LLMAG 18 1 0 15 Oct 2024
Doppelgänger's Watch: A Split Objective Approach to Large Language Models S. Ghasemlou Ashish Katiyar Aparajita Saraf Seungwhan Moon Mangesh Pujari Pinar E. Donmez Babak Damavandi Anuj Kumar 36 0 0 09 Sep 2024
A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models Chen Wang Rohitash Chandra 23 0 0 29 Aug 2024
Using cognitive psychology to understand GPT-3 Marcel Binz Eric Schulz ELM LLMAG 250 440 0 21 Jun 2022
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 383 0 05 Mar 2020