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Language Models Implement Simple Word2Vec-style Vector Arithmetic

Language Models Implement Simple Word2Vec-style Vector Arithmetic

25 May 2023
Jack Merullo
Carsten Eickhoff
Ellie Pavlick
    KELM
ArXivPDFHTML

Papers citing "Language Models Implement Simple Word2Vec-style Vector Arithmetic"

21 / 21 papers shown
Title
Towards Contamination Resistant Benchmarks
Towards Contamination Resistant Benchmarks
Rahmatullah Musawi
Sheng Lu
42
0
0
13 May 2025
Signatures of human-like processing in Transformer forward passes
Signatures of human-like processing in Transformer forward passes
Jennifer Hu
Michael A. Lepori
Michael Franke
AI4CE
156
0
0
18 Apr 2025
M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models
M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models
Yanshu Li
Hongyang He
Yi Cao
Qisen Cheng
Xiang Fu
Ruixiang Tang
VLM
40
0
0
06 Apr 2025
The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities
The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities
Zhaofeng Wu
Xinyan Velocity Yu
Dani Yogatama
Jiasen Lu
Yoon Kim
AIFin
54
10
0
07 Nov 2024
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
Emanuele Marconato
Sébastien Lachapelle
Sebastian Weichwald
Luigi Gresele
69
3
0
30 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability
ELICIT: LLM Augmentation via External In-Context Capability
Futing Wang
Jianhao Yan
Yue Zhang
Tao Lin
41
0
0
12 Oct 2024
From Tokens to Words: On the Inner Lexicon of LLMs
From Tokens to Words: On the Inner Lexicon of LLMs
Guy Kaplan
Matanel Oren
Yuval Reif
Roy Schwartz
48
12
0
08 Oct 2024
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
Michael A. Lepori
Michael Mozer
Asma Ghandeharioun
LRM
85
1
0
02 Oct 2024
Knowledge Circuits in Pretrained Transformers
Knowledge Circuits in Pretrained Transformers
Yunzhi Yao
Ningyu Zhang
Zekun Xi
Meng Wang
Ziwen Xu
Shumin Deng
Huajun Chen
KELM
64
20
0
28 May 2024
Uncovering Intermediate Variables in Transformers using Circuit Probing
Uncovering Intermediate Variables in Transformers using Circuit Probing
Michael A. Lepori
Thomas Serre
Ellie Pavlick
75
7
0
07 Nov 2023
Codebook Features: Sparse and Discrete Interpretability for Neural
  Networks
Codebook Features: Sparse and Discrete Interpretability for Neural Networks
Alex Tamkin
Mohammad Taufeeque
Noah D. Goodman
32
27
0
26 Oct 2023
Towards a Mechanistic Interpretation of Multi-Step Reasoning
  Capabilities of Language Models
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models
Yifan Hou
Jiaoda Li
Yu Fei
Alessandro Stolfo
Wangchunshu Zhou
Guangtao Zeng
Antoine Bosselut
Mrinmaya Sachan
LRM
30
40
0
23 Oct 2023
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
Anna Langedijk
Hosein Mohebbi
Gabriele Sarti
Willem H. Zuidema
Jaap Jumelet
29
10
0
05 Oct 2023
Towards Best Practices of Activation Patching in Language Models:
  Metrics and Methods
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
Fred Zhang
Neel Nanda
LLMSV
33
97
0
27 Sep 2023
Dissecting Recall of Factual Associations in Auto-Regressive Language
  Models
Dissecting Recall of Factual Associations in Auto-Regressive Language Models
Mor Geva
Jasmijn Bastings
Katja Filippova
Amir Globerson
KELM
191
261
0
28 Apr 2023
Interpretability in the Wild: a Circuit for Indirect Object
  Identification in GPT-2 small
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small
Kevin Wang
Alexandre Variengien
Arthur Conmy
Buck Shlegeris
Jacob Steinhardt
212
496
0
01 Nov 2022
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
250
460
0
24 Sep 2022
Analyzing Commonsense Emergence in Few-shot Knowledge Models
Analyzing Commonsense Emergence in Few-shot Knowledge Models
Jeff Da
Ronan Le Bras
Ximing Lu
Yejin Choi
Antoine Bosselut
AI4MH
KELM
64
40
0
01 Jan 2021
The Bottom-up Evolution of Representations in the Transformer: A Study
  with Machine Translation and Language Modeling Objectives
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita
Rico Sennrich
Ivan Titov
195
181
0
03 Sep 2019
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
415
2,586
0
03 Sep 2019
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
242
31,257
0
16 Jan 2013
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