Revisiting the Compositional Generalization Abilities of Neural Sequence Models

14 March 2022

Papers citing "Revisiting the Compositional Generalization Abilities of Neural Sequence Models"

20 / 20 papers shown

Title
Data Distributional Properties As Inductive Bias for Systematic Generalization Felipe del-Rio Alain Raymond-Sáez Daniel Florea Rodrigo Toro Icarte Julio Hurtado Cristian B. Calderon Á. Soto AI4CE 33 0 0 27 Feb 2025
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations Paul Soulos Henry Conklin Mattia Opper P. Smolensky Jianfeng Gao Roland Fernandez 68 4 0 18 Dec 2024
LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation Yongjing Yin Jiali Zeng Yafu Li Fandong Meng Yue Zhang 39 1 0 03 Jun 2024
Towards Understanding the Relationship between In-context Learning and Compositional Generalization Sungjun Han Sebastian Padó CoGe 21 2 0 18 Mar 2024
Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies Flavio Petruzzellis Alberto Testolin A. Sperduti ELM 30 7 0 27 Feb 2024
Interpretability Illusions in the Generalization of Simplified Models Dan Friedman Andrew Kyle Lampinen Lucas Dixon Danqi Chen Asma Ghandeharioun 17 14 0 06 Dec 2023
Attribute Diversity Determines the Systematicity Gap in VQA Ian Berlot-Attwell Kumar Krishna Agrawal A. M. Carrell Yash Sharma Naomi Saphra 21 1 0 15 Nov 2023
Data Factors for Better Compositional Generalization Xiang Zhou Yichen Jiang Mohit Bansal CoGe OOD 19 3 0 08 Nov 2023
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks Kaiser Sun Adina Williams Dieuwke Hupkes CoGe 16 6 0 26 Oct 2023
Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers Osman Batur .Ince Tanin Zeraati Semih Yagcioglu Yadollah Yaghoobzadeh Erkut Erdem Aykut Erdem 19 1 0 18 Oct 2023
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations Arkil Patel S. Bhattamishra Siva Reddy Dzmitry Bahdanau 29 5 0 18 Oct 2023
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement Linlu Qiu Liwei Jiang Ximing Lu Melanie Sclar Valentina Pyatkin ... Bailin Wang Yoon Kim Yejin Choi Nouha Dziri Xiang Ren LRM ReLM 43 74 0 12 Oct 2023
Data Distribution Bottlenecks in Grounding Language Models to Knowledge Bases Yiheng Shu Zhiwei Yu 19 3 0 15 Sep 2023
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
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality Yichen Jiang Xiang Zhou Mohit Bansal 18 10 0 28 Nov 2022
Characterizing Intrinsic Compositionality in Transformers with Tree Projections Shikhar Murty Pratyusha Sharma Jacob Andreas Christopher D. Manning 9 39 0 02 Nov 2022
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks Ankur Sikarwar Arkil Patel Navin Goyal ViT 23 10 0 23 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 106 92 0 06 Oct 2022
Unveiling Transformers with LEGO: a synthetic reasoning task Yi Zhang A. Backurs Sébastien Bubeck Ronen Eldan Suriya Gunasekar Tal Wagner LRM 28 85 0 09 Jun 2022
Revisit Systematic Generalization via Meaningful Learning Ning Shi Boxin Wang Wei Wang Xiangyu Liu Zhouhan Lin 14 2 0 14 Mar 2020