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Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task
30 May 2024
Siavash Golkar
Alberto Bietti
Mariel Pettee
Michael Eickenberg
M. Cranmer
Keiya Hirashima
G. Krawezik
Nicholas Lourie
Michael McCabe
Rudy Morel
Ruben Ohana
Liam Parker
Bruno Régaldo-Saint Blancard
Kyunghyun Cho
Shirley Ho
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Papers citing
"Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task"
5 / 5 papers shown
Understanding Counting Mechanisms in Large Language and Vision-Language Models
Hosein Hasani
Amirmohammad Izadi
Fatemeh Askari
Mobin Bagherian
Sadegh Mohammadian
Mohammad Izadi
M. Baghshah
MILM
161
1
0
21 Nov 2025
Provable Benefits of In-Tool Learning for Large Language Models
Sam Houliston
Ambroise Odonnat
Charles Arnal
Vivien A. Cabannes
RALM
177
2
0
28 Aug 2025
More Expressive Attention with Negative Weights
Ang Lv
Ruobing Xie
Shuaipeng Li
Jiayi Liao
Xingwu Sun
Zhanhui Kang
Di Wang
Rui Yan
527
6
0
11 Nov 2024
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
5.2K
32,979
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
2.7K
21,359
0
16 Feb 2016
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