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LoFiT: Localized Fine-tuning on LLM Representations

LoFiT: Localized Fine-tuning on LLM Representations

3 June 2024
Fangcong Yin
Xi Ye
Greg Durrett
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Papers citing "LoFiT: Localized Fine-tuning on LLM Representations"

15 / 15 papers shown
Title
Understanding Synthetic Context Extension via Retrieval Heads
Understanding Synthetic Context Extension via Retrieval Heads
Xinyu Zhao
Fangcong Yin
Greg Durrett
104
2
0
29 Oct 2024
Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward Passes
Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward Passes
Bryan R Christ
Zack Gottesman
Jonathan Kropko
Thomas Hartvigsen
LRM
96
4
0
22 Oct 2024
Programming Refusal with Conditional Activation Steering
Programming Refusal with Conditional Activation Steering
Bruce W. Lee
Inkit Padhi
Karthikeyan N. Ramamurthy
Erik Miehling
Pierre Dognin
Manish Nagireddy
Amit Dhurandhar
LLMSV
144
23
0
06 Sep 2024
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Sohee Yang
E. Gribovskaya
Nora Kassner
Mor Geva
Sebastian Riedel
ReLM
LRM
93
102
0
26 Feb 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations
  of Language Models
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
Asma Ghandeharioun
Avi Caciularu
Adam Pearce
Lucas Dixon
Mor Geva
88
113
0
11 Jan 2024
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
Max Zimmer
Megi Andoni
Christoph Spiegel
Sebastian Pokutta
VLM
96
10
0
23 Dec 2023
Characterizing Mechanisms for Factual Recall in Language Models
Characterizing Mechanisms for Factual Recall in Language Models
Qinan Yu
Jack Merullo
Ellie Pavlick
KELM
80
29
0
24 Oct 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
305
514
0
24 Sep 2022
Locating and Editing Factual Associations in GPT
Locating and Editing Factual Associations in GPT
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
232
1,344
0
10 Feb 2022
Towards a Unified View of Parameter-Efficient Transfer Learning
Towards a Unified View of Parameter-Efficient Transfer Learning
Junxian He
Chunting Zhou
Xuezhe Ma
Taylor Berg-Kirkpatrick
Graham Neubig
AAML
114
933
0
08 Oct 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
160
1,218
0
18 Jun 2021
Knowledge Neurons in Pretrained Transformers
Knowledge Neurons in Pretrained Transformers
Damai Dai
Li Dong
Y. Hao
Zhifang Sui
Baobao Chang
Furu Wei
KELM
MU
81
451
0
18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
217
4,247
0
01 Jan 2021
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
210
1,516
0
24 May 2019
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for
  Reading Comprehension
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi
Eunsol Choi
Daniel S. Weld
Luke Zettlemoyer
RALM
197
2,643
0
09 May 2017
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