No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with
Company Size

No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size

21 July 2024

Ashok Urlana

Charaka Vinayak Kumar

Ajeet Kumar Singh

Papers citing "No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size"

5 / 5 papers shown

Title
No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language models Charaka Vinayak Kumar Ashok Urlana Gopichand Kanumolu B. Garlapati Pruthwik Mishra ELM 40 0 0 15 Mar 2025
LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Papers Abdur Rahman Bin Md Faizullah Ashok Urlana Rahul Mishra 25 3 0 22 Mar 2024
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance Jesse Zhang Jiahui Zhang Karl Pertsch Ziyi Liu Xiang Ren Minsuk Chang Shao-Hua Sun Joseph J. Lim LLMAG LM&Ro 70 57 0 16 Oct 2023
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs Jonas Golde Patrick Haller Felix Hamborg Julian Risch A. Akbik 25 6 0 18 Sep 2023
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng-Long Jiang RALM AIMat 207 318 0 21 Sep 2022