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In-Context Learning Creates Task Vectors

In-Context Learning Creates Task Vectors

24 October 2023
Roee Hendel
Mor Geva
Amir Globerson
ArXivPDFHTML

Papers citing "In-Context Learning Creates Task Vectors"

12 / 112 papers shown
Title
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO
  and Toxicity
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
Andrew Lee
Xiaoyan Bai
Itamar Pres
Martin Wattenberg
Jonathan K. Kummerfeld
Rada Mihalcea
64
95
0
03 Jan 2024
Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review
Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review
Luoma Ke
Song Tong
Peng Cheng
Kaiping Peng
OffRL
LM&MA
51
19
0
03 Jan 2024
The Tyranny of Possibilities in the Design of Task-Oriented LLM Systems:
  A Scoping Survey
The Tyranny of Possibilities in the Design of Task-Oriented LLM Systems: A Scoping Survey
Dhruv Dhamani
Mary Lou Maher
27
1
0
29 Dec 2023
Emergence and Function of Abstract Representations in Self-Supervised
  Transformers
Emergence and Function of Abstract Representations in Self-Supervised Transformers
Quentin RV. Ferry
Joshua Ching
Takashi Kawai
13
2
0
08 Dec 2023
StructRe: Rewriting for Structured Shape Modeling
StructRe: Rewriting for Structured Shape Modeling
Jie-Chao Wang
Hao Pan
Yang Liu
Xin Tong
Taku Komura
Wenping Wang
24
0
0
29 Nov 2023
In-context Learning and Gradient Descent Revisited
In-context Learning and Gradient Descent Revisited
Gilad Deutch
Nadav Magar
Tomer Bar Natan
Guy Dar
28
7
0
13 Nov 2023
How are Prompts Different in Terms of Sensitivity?
How are Prompts Different in Terms of Sensitivity?
Sheng Lu
Hendrik Schuff
Iryna Gurevych
32
18
0
13 Nov 2023
In-context Vectors: Making In Context Learning More Effective and
  Controllable Through Latent Space Steering
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
Sheng Liu
Haotian Ye
Lei Xing
James Y. Zou
26
83
0
11 Nov 2023
The Linear Representation Hypothesis and the Geometry of Large Language
  Models
The Linear Representation Hypothesis and the Geometry of Large Language Models
Kiho Park
Yo Joong Choe
Victor Veitch
LLMSV
MILM
24
136
0
07 Nov 2023
The Mystery of In-Context Learning: A Comprehensive Survey on
  Interpretation and Analysis
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis
Yuxiang Zhou
Jiazheng Li
Yanzheng Xiang
Hanqi Yan
Lin Gui
Yulan He
22
14
0
01 Nov 2023
A Survey on Knowledge Editing of Neural Networks
A Survey on Knowledge Editing of Neural Networks
Vittorio Mazzia
Alessandro Pedrani
Andrea Caciolai
Kay Rottmann
Davide Bernardi
KELM
15
24
0
30 Oct 2023
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,843
0
18 Apr 2021
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