ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.16130
  4. Cited By
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"

17 / 17 papers shown
Title
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
46
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
64
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
39
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
41
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
80
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
19
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
70
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
19
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
39
0
23 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
26
96
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
189
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
210
491
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
240
456
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
188
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
406
2,576
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
228
31,150
0
16 Jan 2013
1