Kewei Tu
115 papers · 2012–2026 · 16 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
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Cross-Pollinator
(13)
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
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Conference Loyalist
(38)
πΊ
Lone Wolf
(3)
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Deep Specialist
(24)
π±
Topic Pioneer
π§¬
Topic Evolution
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Keyword Champion
π
Grand Slam
π€
Dynamic Duo
(50)
β
The Questioner
(2)
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Trend Setter
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Conference Pioneer
π₯
Unstoppable
(11)
β‘
Prolific Year
(7)
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Century Club
(113)
ποΈ
Keyword Collector
(58)
Conferences
ACL (39)
EMNLP (31)
IJCNLP (12)
NAACL (8)
AAAI (4)
COLING (4)
AACL (3)
EACL (3)
CONLL (2)
ICLR (2)
SEMEVAL (2)
ACML (1)
ICCV (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
dependency parsing
(19)
named entity recognition
(15)
neural network
(13)
grammar induction
(12)
structured prediction
(11)
syntactic parsing
(10)
constituency parsing
(9)
sequence labeling
(9)
unsupervised learning
(8)
variational inference
(8)
conditional random field
(8)
unsupervised parsing
(7)
language modeling
(6)
semi-supervised learning
(6)
relation extraction
(5)
cross-lingual transfer
(5)
zero-shot learning
(4)
language model
(4)
probabilistic context-free grammar
(4)
knowledge base
(4)
Papers
MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents
EACL 2026
GiLT: Augmenting Transformer Language Models with Dependency Graphs
ACL 2026
A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference
NAACL 2025
Look Both Ways and No Sink: Converting LLMs into Text Encoders without Training
ACL 2025
A Systematic Study of Compositional Syntactic Transformer Language Models
ACL 2025
Parallel Continuous Chain-of-Thought with Jacobi Iteration
EMNLP 2025
EvolveSearch: An Iterative Self-Evolving Search Agent
EMNLP 2025
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
EMNLP 2025
Tree-Structured Non-Autoregressive Decoding for Sequence-to-Sequence Text Generation
EMNLP 2025
Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling
ICML 2025
Unsupervised Morphological Tree Tokenizer
ACL 2025
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale
ACL 2024
Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields
AAAI 2024
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding
AAAI 2024
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models
ACL 2024
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
ACL 2024
Layer-Condensed KV Cache for Efficient Inference of Large Language Models
ACL 2024
Augmenting Transformers with Recursively Composed Multi-grained Representations
ICLR 2024
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints
ACL 2023
Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation
ACL 2023
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition
ACL 2023
Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset
EMNLP 2023
Improving Span Representation by Efficient Span-Level Attention
EMNLP 2023
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
ICLR 2023
COMBO: A Complete Benchmark for Open KG Canonicalization
EACL 2023
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition
SEMEVAL 2023
Using Interpretation Methods for Model Enhancement
EMNLP 2023
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks
EMNLP 2023
AMR Parsing with Causal Hierarchical Attention and Pointers
EMNLP 2023
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions
EMNLP 2023
Do PLMs Know and Understand Ontological Knowledge?
ACL 2023
Donβt Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span Selection
ACL 2023
Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing
ACL 2023
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field
ACL 2023
Improving Low-resource Named Entity Recognition with Graph Propagated Data Augmentation
ACL 2023
Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role Labeling
ACL 2023
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition
NAACL 2022
Semantic Dependency Parsing with Edge GNNs
EMNLP 2022
Headed-Span-Based Projective Dependency Parsing
ACL 2022
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks
ACL 2022
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing
ACL 2022
Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing
ACL 2022
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
NAACL 2022
Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing
AACL 2022
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
SEMEVAL 2022
SHARP: Search-Based Adversarial Attack for Structured Prediction
NAACL 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs
NAACL 2022
Named Entity and Relation Extraction with Multi-Modal Retrieval
EMNLP 2022
Improving Constituent Representation with Hypertree Neural Networks
NAACL 2022
An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction
IJCNLP 2022
Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference
AAAI 2022
An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction
AACL 2022
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
EMNLP 2022
Unsupervised Natural Language Parsing (Introductory Tutorial)
EACL 2021
Automated Concatenation of Embeddings for Structured Prediction
ACL 2021
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor
IJCNLP 2021
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
IJCNLP 2021
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols
NAACL 2021
Neuralizing Regular Expressions for Slot Filling
EMNLP 2021
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings
IJCNLP 2021
Generalized Supervised Attention for Text Generation
IJCNLP 2021
Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing
IJCNLP 2021
Risk Minimization for Zero-shot Sequence Labeling
IJCNLP 2021
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings
ACL 2021
Generalized Supervised Attention for Text Generation
ACL 2021
Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing
ACL 2021
Risk Minimization for Zero-shot Sequence Labeling
ACL 2021
Neural Bi-Lexicalized PCFG Induction
IJCNLP 2021
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision
IJCNLP 2021
Neural Bi-Lexicalized PCFG Induction
ACL 2021
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision
ACL 2021
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
ACL 2021
Automated Concatenation of Embeddings for Structured Prediction
IJCNLP 2021
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor
ACL 2021
More Embeddings, Better Sequence Labelers?
EMNLP 2020
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training
AACL 2020
An Empirical Comparison of Unsupervised Constituency Parsing Methods
ACL 2020
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
ACL 2020
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
ACL 2020
Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders
ACL 2020
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data
ACL 2020
Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding
COLING 2020
A Survey of Unsupervised Dependency Parsing
COLING 2020
Deep Inside-outside Recursive Autoencoder with All-span Objective
COLING 2020
Second-Order Unsupervised Neural Dependency Parsing
COLING 2020
Adversarial Attack and Defense of Structured Prediction Models
EMNLP 2020
Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks
EMNLP 2020
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network
EMNLP 2020
Unsupervised Cross-Lingual Adaptation of Dependency Parsers Using CRF Autoencoders
EMNLP 2020
Learning Numeral Embedding
EMNLP 2020
An Investigation of Potential Function Designs for Neural CRF
EMNLP 2020
A Regularization-based Framework for Bilingual Grammar Induction
IJCNLP 2019
Multilingual Grammar Induction with Continuous Language Identification
IJCNLP 2019
Multilingual Grammar Induction with Continuous Language Identification
EMNLP 2019
A Regularization-based Framework for Bilingual Grammar Induction
EMNLP 2019
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing
CONLL 2019
Enhancing Unsupervised Generative Dependency Parser with Contextual Information
ACL 2019
Latent Variable Sentiment Grammar
ACL 2019
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
ACL 2019
Bidirectional Transition-Based Dependency Parsing
AAAI 2019
Gaussian Mixture Latent Vector Grammars
ACL 2018
CRF Autoencoder for Unsupervised Dependency Parsing
EMNLP 2017
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition
EMNLP 2017
Structured Attentions for Visual Question Answering
ICCV 2017
Semi-supervised Structured Prediction with Neural CRF Autoencoder
EMNLP 2017
Dependency Grammar Induction with Neural Lexicalization and Big Training Data
EMNLP 2017
Unsupervised Neural Dependency Parsing
EMNLP 2016
Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity
EMNLP 2016
Stochastic and-or Grammars: A Unified Framework and Logic Perspective
IJCAI 2016
Context-Dependent Sense Embedding
EMNLP 2016
Curriculum Learning of Bayesian Network Structures
ACML 2015
Unsupervised Structure Learning of Stochastic And-Or Grammars
NIPS 2013
Combining the Sparsity and Unambiguity Biases for Grammar Induction
NAACL 2012
Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars
CONLL 2012
Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars
EMNLP 2012