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Instruction Fine-Tuning: Does Prompt Loss Matter?

Instruction Fine-Tuning: Does Prompt Loss Matter?

24 January 2024
Mathew Huerta-Enochian
Seung Yong Ko
ArXivPDFHTML

Papers citing "Instruction Fine-Tuning: Does Prompt Loss Matter?"

5 / 5 papers shown
Title
Navigating Rifts in Human-LLM Grounding: Study and Benchmark
Navigating Rifts in Human-LLM Grounding: Study and Benchmark
Omar Shaikh
Hussein Mozannar
Gagan Bansal
Adam Fourney
Eric Horvitz
84
2
0
18 Mar 2025
KodeXv0.1: A Family of State-of-the-Art Financial Large Language Models
KodeXv0.1: A Family of State-of-the-Art Financial Large Language Models
Neel Rajani
Lilli Kiessling
Aleksandr Ogaltsov
Claus Lang
ALM
33
0
0
13 Sep 2024
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector
Wenjie Fu
Huandong Wang
Chen Gao
Guanghua Liu
Yong Li
Tao Jiang
37
3
0
16 Aug 2024
Instruction Tuning With Loss Over Instructions
Instruction Tuning With Loss Over Instructions
Zhengyan Shi
Adam X. Yang
Bin Wu
Laurence Aitchison
Emine Yilmaz
Aldo Lipani
ALM
29
21
0
23 May 2024
Rethinking Privacy in Machine Learning Pipelines from an Information
  Flow Control Perspective
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective
Lukas Wutschitz
Boris Köpf
Andrew Paverd
Saravan Rajmohan
Ahmed Salem
Shruti Tople
Santiago Zanella Béguelin
Menglin Xia
Victor Rühle
54
13
0
27 Nov 2023
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