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Papers
M3DocDep: Multi-modal, Multi-page, Multi-document Dependency Chunking with Large Vision-Language Models
CVPR 2026
Dynamic Head Selection for Neural Lexicalized Constituency Parsing
ACL 2025
Improving Proficiency and Grammar Accuracy for Chinese Language Learners with Large Language Models
IJCNLP 2025
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization
AAAI 2025
The Role of Sparsity for Length Generalization in LLMs
ICML 2025
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models
ACL 2024
Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis
Interspeech 2022
Modal Dependency Parsing via Language Model Priming
NAACL 2022
Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models
ACL 2022
Syntax-guided Contrastive Learning for Pre-trained Language Model
ACL 2022
Efficient Sampling of Dependency Structure
EMNLP 2021
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem
AAAI 2021
Implicit Generative Copulas
NeurIPS 2021
AMR Parsing with Latent Structural Information
ACL 2020
Improving Biomedical Analogical Retrieval with Embedding of Structural Dependencies
ACL 2020
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
ICML 2020
A Dependency Structure Annotation for Modality
ACL 2019
Biomedical Event Extraction based on Knowledge-driven Tree-LSTM
NAACL 2019
Contextualized Non-Local Neural Networks for Sequence Learning
AAAI 2019
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures
ICML 2019
Learning Dependency Structures for Weak Supervision Models
ICML 2019
Variational Autoencoders with Jointly Optimized Latent Dependency Structure
ICLR 2019
Learning the Structure of Generative Models without Labeled Data
ICML 2017
Sequence-to-Dependency Neural Machine Translation
ACL 2017
Bayesian Networks for Variable Groups
PGM 2016