FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?

19 January 2024

Papers citing "FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?"

7 / 7 papers shown

Title
LLM Content Moderation and User Satisfaction: Evidence from Response Refusals in Chatbot Arena Stefan Pasch 40 0 0 04 Jan 2025
Practical Guide for Causal Pathways and Sub-group Disparity Analysis Farnaz Kohankhaki Shaina Raza Oluwanifemi Bamgbose D. Pandya Elham Dolatabadi CML 48 0 0 02 Jul 2024
Fairness and Bias in Multimodal AI: A Survey Tosin Adewumi Lama Alkhaled Namrata Gurung G. V. Boven Irene Pagliai 58 9 0 27 Jun 2024
Leveraging Multi-AI Agents for Cross-Domain Knowledge Discovery Shiva Aryal Tuyen Do Bisesh Heyojoo Sandeep Chataut Bichar Dip Shrestha Gurung V. Gadhamshetty Etienne Z. Gnimpieba LLMAG 32 2 0 12 Apr 2024
How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure Michael Wilson Jackson Petty Robert Frank 26 15 0 08 Nov 2023
Towards Efficient Post-training Quantization of Pre-trained Language Models Haoli Bai Lu Hou Lifeng Shang Xin Jiang Irwin King M. Lyu MQ 82 47 0 30 Sep 2021
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing Boaz Shmueli Jan Fell Soumya Ray Lun-Wei Ku 118 86 0 20 Apr 2021