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From Language Modeling to Instruction Following: Understanding the
  Behavior Shift in LLMs after Instruction Tuning

From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning

30 September 2023
Xuansheng Wu
Wenlin Yao
Jianshu Chen
Xiaoman Pan
Xiaoyang Wang
Ninghao Liu
Dong Yu
    LRM
ArXivPDFHTML

Papers citing "From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning"

13 / 13 papers shown
Title
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis
Hao Zhen
Jidong J. Yang
43
0
0
08 May 2025
Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following
Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following
Jie Zeng
Qianyu He
Qingyu Ren
Jiaqing Liang
Yanghua Xiao
Weikang Zhou
Zeye Sun
Fei Yu
86
1
0
24 Feb 2025
Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring
Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring
Xuansheng Wu
Padmaja Pravin Saraf
Gyeong-Geon Lee
Ehsan Latif
Ninghao Liu
Xiaoming Zhai
60
7
0
24 Feb 2025
Control Illusion: The Failure of Instruction Hierarchies in Large Language Models
Control Illusion: The Failure of Instruction Hierarchies in Large Language Models
Yilin Geng
Yiming Li
Honglin Mu
Xudong Han
Timothy Baldwin
Omri Abend
Eduard H. Hovy
Lea Frermann
41
2
0
21 Feb 2025
Smaller Large Language Models Can Do Moral Self-Correction
Smaller Large Language Models Can Do Moral Self-Correction
Guangliang Liu
Zhiyu Xue
Rongrong Wang
K. Johnson
Kristen Marie Johnson
LRM
34
0
0
30 Oct 2024
Examining LLMs' Uncertainty Expression Towards Questions Outside
  Parametric Knowledge
Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
Genglin Liu
Xingyao Wang
Lifan Yuan
Yangyi Chen
Hao Peng
34
16
0
16 Nov 2023
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Robert Kirk
Ishita Mediratta
Christoforos Nalmpantis
Jelena Luketina
Eric Hambro
Edward Grefenstette
Roberta Raileanu
AI4CE
ALM
115
125
0
10 Oct 2023
Instruction Tuning with GPT-4
Instruction Tuning with GPT-4
Baolin Peng
Chunyuan Li
Pengcheng He
Michel Galley
Jianfeng Gao
SyDa
ALM
LM&MA
171
591
0
06 Apr 2023
In-context Learning and Induction Heads
In-context Learning and Induction Heads
Catherine Olsson
Nelson Elhage
Neel Nanda
Nicholas Joseph
Nova Dassarma
...
Tom B. Brown
Jack Clark
Jared Kaplan
Sam McCandlish
C. Olah
252
476
0
24 Sep 2022
Toy Models of Superposition
Toy Models of Superposition
Nelson Elhage
Tristan Hume
Catherine Olsson
Nicholas Schiefer
T. Henighan
...
Sam McCandlish
Jared Kaplan
Dario Amodei
Martin Wattenberg
C. Olah
AAML
MILM
133
326
0
21 Sep 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
384
12,150
0
04 Mar 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Cer
VLM
LRM
137
277
0
15 Oct 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
456
2,592
0
03 Sep 2019
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