Dejiao Zhang
18 papers · 2016–2024 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (44) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Conference Pioneer
ποΈ
Keyword Collector
(90)
Top co-authors
Research topics
Machine Learning
(17)
Learning Types Β· Machine Learning
(12)
Natural Language Processing
(11)
Artificial Intelligence
(10)
Deep Learning
(9)
Core AI
(8)
Learning Types Β· Deep Learning
(8)
Core Methods
(6)
Applications
(4)
Generation
(4)
Learning Paradigms
(4)
Optimization & Theory
(4)
Resources & Methods
(4)
Application Areas
(3)
Mathematics & Optimization
(1)
Keywords
contrastive learning
(6)
code generation
(3)
continual learning
(3)
sentence representation
(2)
catastrophic forgetting
(2)
representation learning
(2)
factual consistency
(2)
instance discrimination
(2)
named entity recognition
(2)
domain adaptation
(2)
semantic similarity
(2)
large language model
(2)
self-supervised learning
(2)
knowledge distillation
(2)
abstractive summarization
(2)
language model pretraining
(2)
unsupervised learning
(2)
unsupervised clustering
(1)
text classification
(1)
zero-shot learning
(1)
Papers
CODE REPRESENTATION LEARNING AT SCALE
ICLR 2024
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
EMNLP 2024
Repoformer: Selective Retrieval for Repository-Level Code Completion
ICML 2024
ContraCLM: Contrastive Learning For Causal Language Model
ACL 2023
Exploring Continual Learning for Code Generation Models
ACL 2023
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation
ACL 2023
Learning Dialogue Representations from Consecutive Utterances
NAACL 2022
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
ACL 2022
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
NAACL 2022
Virtual Augmentation Supported Contrastive Learning of Sentence Representations
ACL 2022
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
ACL 2021
Entity-level Factual Consistency of Abstractive Text Summarization
EACL 2021
Improving Factual Consistency of Abstractive Summarization via Question Answering
ACL 2021
Pairwise Supervised Contrastive Learning of Sentence Representations
EMNLP 2021
Supporting Clustering with Contrastive Learning
NAACL 2021
Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling
EMNLP 2020
LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
ICLR 2018
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
AISTATS 2016