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Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models

Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models

Sumuk Shashidhar
Abhinav Chinta
Vaibhav Sahai
Zhenhailong Wang
Heng Ji
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Papers citing "Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models"

4 / 4 papers shown
Title
Resource-Efficient Language Models: Quantization for Fast and Accessible Inference
Resource-Efficient Language Models: Quantization for Fast and Accessible Inference
Tollef Emil Jørgensen
MQ
49
0
0
13 May 2025
LLM Evaluators Recognize and Favor Their Own Generations
LLM Evaluators Recognize and Favor Their Own Generations
Arjun Panickssery
Samuel R. Bowman
Shi Feng
38
156
0
15 Apr 2024
Can Large Language Models Be an Alternative to Human Evaluations?
Can Large Language Models Be an Alternative to Human Evaluations?
Cheng-Han Chiang
Hung-yi Lee
ALM
LM&MA
221
571
0
03 May 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
355
8,457
0
28 Jan 2022