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Inducing Character-level Structure in Subword-based Language Models with
  Type-level Interchange Intervention Training
v1v2 (latest)

Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training

Annual Meeting of the Association for Computational Linguistics (ACL), 2022
19 December 2022
Jing-ling Huang
Zhengxuan Wu
Kyle Mahowald
Christopher Potts
ArXiv (abs)PDFHTML

Papers citing "Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training"

14 / 14 papers shown
Title
EXECUTE: A Multilingual Benchmark for LLM Token Understanding
EXECUTE: A Multilingual Benchmark for LLM Token UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Lukas Edman
Helmut Schmid
Kangyang Luo
101
0
0
23 May 2025
Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients
Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients
Ana Esponera
Giovanni Cinnà
BDLCML
133
0
0
18 Mar 2025
MrT5: Dynamic Token Merging for Efficient Byte-level Language Models
MrT5: Dynamic Token Merging for Efficient Byte-level Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Julie Kallini
Shikhar Murty
Christopher D. Manning
Christopher Potts
Róbert Csordás
276
13
0
28 Oct 2024
Retrieval Augmented Spelling Correction for E-Commerce Applications
Retrieval Augmented Spelling Correction for E-Commerce ApplicationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Xuan Guo
Rohit Patki
Dante Everaert
Christopher Potts
63
0
0
15 Oct 2024
CUTE: Measuring LLMs' Understanding of Their Tokens
CUTE: Measuring LLMs' Understanding of Their TokensConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Lukas Edman
Helmut Schmid
Kangyang Luo
207
11
0
23 Sep 2024
ReFT: Representation Finetuning for Language Models
ReFT: Representation Finetuning for Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Zhengxuan Wu
Aryaman Arora
Zheng Wang
Atticus Geiger
Daniel Jurafsky
Christopher D. Manning
Christopher Potts
OffRL
233
108
0
04 Apr 2024
Knowledge of Pretrained Language Models on Surface Information of Tokens
Knowledge of Pretrained Language Models on Surface Information of Tokens
Tatsuya Hiraoka
Naoaki Okazaki
142
5
0
15 Feb 2024
Multi-teacher Distillation for Multilingual Spelling Correction
Multi-teacher Distillation for Multilingual Spelling Correction
Jingfen Zhang
Xuan Guo
S. Bodapati
Christopher Potts
KELM
115
3
0
20 Nov 2023
Learning Mutually Informed Representations for Characters and Subwords
Learning Mutually Informed Representations for Characters and Subwords
Yilin Wang
Xinyi Hu
Matthew R. Gormley
133
0
0
14 Nov 2023
Rigorously Assessing Natural Language Explanations of Neurons
Rigorously Assessing Natural Language Explanations of NeuronsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2023
Jing-ling Huang
Atticus Geiger
Karel DÓosterlinck
Zhengxuan Wu
Christopher Potts
MILM
139
38
0
19 Sep 2023
Causal interventions expose implicit situation models for commonsense
  language understanding
Causal interventions expose implicit situation models for commonsense language understandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Takateru Yamakoshi
James L. McClelland
A. Goldberg
Robert D. Hawkins
161
6
0
06 Jun 2023
ScoNe: Benchmarking Negation Reasoning in Language Models With
  Fine-Tuning and In-Context Learning
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jingyuan Selena She
Christopher Potts
Sam Bowman
Atticus Geiger
168
22
0
30 May 2023
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
Interpretability at Scale: Identifying Causal Mechanisms in AlpacaNeural Information Processing Systems (NeurIPS), 2023
Zhengxuan Wu
Atticus Geiger
Thomas Icard
Christopher Potts
Noah D. Goodman
MILM
213
107
0
15 May 2023
Finding Alignments Between Interpretable Causal Variables and
  Distributed Neural Representations
Finding Alignments Between Interpretable Causal Variables and Distributed Neural RepresentationsCLEaR (CLEaR), 2023
Atticus Geiger
Zhengxuan Wu
Christopher Potts
Thomas Icard
Noah D. Goodman
CML
287
130
0
05 Mar 2023
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