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Operationalising Representation in Natural Language Processing

Operationalising Representation in Natural Language Processing

14 June 2023
J. Harding
ArXivPDFHTML

Papers citing "Operationalising Representation in Natural Language Processing"

13 / 13 papers shown
Title
Explaining Neural Networks with Reasons
Explaining Neural Networks with Reasons
Levin Hornischer
Hannes Leitgeb
FAtt
AAML
MILM
23
0
0
20 May 2025
What Is AI Safety? What Do We Want It to Be?
What Is AI Safety? What Do We Want It to Be?
Jacqueline Harding
Cameron Domenico Kirk-Giannini
78
0
0
05 May 2025
A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i
A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i
Kola Ayonrinde
Louis Jaburi
MILM
88
1
0
01 May 2025
Representation in large language models
Cameron C. Yetman
41
1
0
03 Jan 2025
Chatting with Bots: AI, Speech Acts, and the Edge of Assertion
Chatting with Bots: AI, Speech Acts, and the Edge of Assertion
Iwan Williams
Tim Bayne
39
1
0
22 Oct 2024
Does ChatGPT Have a Mind?
Does ChatGPT Have a Mind?
Simon Goldstein
B. Levinstein
AI4MH
LRM
42
5
0
27 Jun 2024
Standards for Belief Representations in LLMs
Standards for Belief Representations in LLMs
Daniel A. Herrmann
B. Levinstein
44
9
0
31 May 2024
What is it for a Machine Learning Model to Have a Capability?
What is it for a Machine Learning Model to Have a Capability?
Jacqueline Harding
Nathaniel Sharadin
ELM
40
3
0
14 May 2024
A Philosophical Introduction to Language Models - Part II: The Way
  Forward
A Philosophical Introduction to Language Models - Part II: The Way Forward
Raphael Milliere
Cameron Buckner
LRM
66
14
0
06 May 2024
Report on Candidate Computational Indicators for Conscious Valenced
  Experience
Report on Candidate Computational Indicators for Conscious Valenced Experience
Andres Campero
35
1
0
25 Apr 2024
Still No Lie Detector for Language Models: Probing Empirical and
  Conceptual Roadblocks
Still No Lie Detector for Language Models: Probing Empirical and Conceptual Roadblocks
B. Levinstein
Daniel A. Herrmann
19
54
0
30 Jun 2023
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
226
409
0
24 Feb 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
883
0
03 May 2018
1