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Structural generalization is hard for sequence-to-sequence models

Structural generalization is hard for sequence-to-sequence models

24 October 2022
Yuekun Yao
Alexander Koller
ArXivPDFHTML

Papers citing "Structural generalization is hard for sequence-to-sequence models"

15 / 15 papers shown
Title
Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs
Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs
Xiulin Yang
Tatsuya Aoyama
Yuekun Yao
Ethan Wilcox
45
1
0
26 Feb 2025
Analyzing the Inner Workings of Transformers in Compositional Generalization
Analyzing the Inner Workings of Transformers in Compositional Generalization
Ryoma Kumon
Hitomi Yanaka
64
0
0
24 Feb 2025
Strengthening Structural Inductive Biases by Pre-training to Perform
  Syntactic Transformations
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations
Matthias Lindemann
Alexander Koller
Ivan Titov
AI4CE
NAI
25
2
0
05 Jul 2024
Scope-enhanced Compositional Semantic Parsing for DRT
Scope-enhanced Compositional Semantic Parsing for DRT
Xiulin Yang
Jonas Groschwitz
Alexander Koller
Johan Bos
23
0
0
02 Jul 2024
Evaluating Structural Generalization in Neural Machine Translation
Evaluating Structural Generalization in Neural Machine Translation
Ryoma Kumon
Daiki Matsuoka
Hitomi Yanaka
NAI
33
2
0
19 Jun 2024
Towards Compositionally Generalizable Semantic Parsing in Large Language
  Models: A Survey
Towards Compositionally Generalizable Semantic Parsing in Large Language Models: A Survey
Amogh Mannekote
LRM
33
1
0
15 Apr 2024
Leveraging Code to Improve In-context Learning for Semantic Parsing
Leveraging Code to Improve In-context Learning for Semantic Parsing
Ben Bogin
Shivanshu Gupta
Peter Clark
Ashish Sabharwal
24
7
0
16 Nov 2023
Predicting generalization performance with correctness discriminators
Predicting generalization performance with correctness discriminators
Yuekun Yao
Alexander Koller
27
0
0
15 Nov 2023
The Validity of Evaluation Results: Assessing Concurrence Across
  Compositionality Benchmarks
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks
Kaiser Sun
Adina Williams
Dieuwke Hupkes
CoGe
16
6
0
26 Oct 2023
SLOG: A Structural Generalization Benchmark for Semantic Parsing
SLOG: A Structural Generalization Benchmark for Semantic Parsing
Bingzhi Li
L. Donatelli
Alexander Koller
Tal Linzen
Yuekun Yao
Najoung Kim
29
14
0
23 Oct 2023
Layer-wise Representation Fusion for Compositional Generalization
Layer-wise Representation Fusion for Compositional Generalization
Yafang Zheng
Lei Lin
Shantao Liu
Binling Wang
Zhaohong Lai
Wenhao Rao
Biao Fu
Yidong Chen
Xiaodon Shi
AI4CE
32
2
0
20 Jul 2023
Learning to Compose Representations of Different Encoder Layers towards
  Improving Compositional Generalization
Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization
Lei Lin
Shuangtao Li
Yafang Zheng
Biao Fu
Shantao Liu
Yidong Chen
Xiaodon Shi
CoGe
23
2
0
20 May 2023
What's the Meaning of Superhuman Performance in Today's NLU?
What's the Meaning of Superhuman Performance in Today's NLU?
Simone Tedeschi
Johan Bos
T. Declerck
Jan Hajic
Daniel Hershcovich
...
Simon Krek
Steven Schockaert
Rico Sennrich
Ekaterina Shutova
Roberto Navigli
ELM
LM&MA
VLM
ReLM
LRM
32
26
0
15 May 2023
ReCOGS: How Incidental Details of a Logical Form Overshadow an
  Evaluation of Semantic Interpretation
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation
Zhengxuan Wu
Christopher D. Manning
Christopher Potts
27
22
0
24 Mar 2023
Learning Algebraic Recombination for Compositional Generalization
Learning Algebraic Recombination for Compositional Generalization
Chenyao Liu
Shengnan An
Zeqi Lin
Qian Liu
Bei Chen
Jian-Guang Lou
Lijie Wen
Nanning Zheng
Dongmei Zhang
CoGe
186
36
0
14 Jul 2021
1