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The representation landscape of few-shot learning and fine-tuning in
  large language models

The representation landscape of few-shot learning and fine-tuning in large language models

5 September 2024
Diego Doimo
Alessandro Serra
A. Ansuini
Alberto Cazzaniga
ArXivPDFHTML

Papers citing "The representation landscape of few-shot learning and fine-tuning in large language models"

5 / 5 papers shown
Title
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
Ge Lei
Samuel J. Cooper
KELM
49
0
0
15 Feb 2025
The Geometry of Tokens in Internal Representations of Large Language Models
The Geometry of Tokens in Internal Representations of Large Language Models
Karthik Viswanathan
Yuri Gardinazzi
Giada Panerai
Alberto Cazzaniga
Matteo Biagetti
AIFin
94
4
0
17 Jan 2025
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Jin Hwa Lee
Thomas Jiralerspong
Lei Yu
Yoshua Bengio
Emily Cheng
CoGe
84
0
0
02 Oct 2024
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
279
1,124
0
18 Apr 2021
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
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