Zhilin Yang
30 papers · 2016–2025 · 8 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
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πΊοΈ Taxonomy Completionist (61) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
π§
Keyword Pioneer
π€
Dynamic Duo
(12)
π§¬
Topic Evolution
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Keyword Trendsetter Combo
(5)
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Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(129)
Top co-authors
Research topics
Machine Learning
(17)
Deep Learning
(16)
Natural Language Processing
(16)
Learning Types Β· Machine Learning
(13)
Artificial Intelligence
(9)
Learning Types Β· Deep Learning
(9)
Core Methods
(8)
Core AI
(7)
Generation
(6)
Models
(6)
Resources & Methods
(6)
Applications
(5)
Architectures
(5)
Learning Paradigms
(5)
Application Areas
(3)
Keywords
text classification
(5)
few-shot learning
(5)
language model
(4)
transfer learning
(4)
natural language understanding
(3)
zero-shot learning
(3)
semi-supervised learning
(3)
pre-trained language model
(3)
question answering
(3)
recurrent neural network
(3)
language modeling
(3)
large language model
(2)
prompt tuning
(2)
softmax bottleneck
(2)
generative model
(2)
named entity recognition
(2)
attention mechanism
(2)
matrix factorization
(1)
feature extraction
(1)
metric learning
(1)
Papers
Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
ICLR 2025
A Universal Discriminator for Zero-Shot Generalization
ACL 2023
Compositional Task Representations for Large Language Models
ICLR 2023
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization
ICLR 2023
Prompt-Based Metric Learning for Few-Shot NER
ACL 2023
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
ACL 2022
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning
ACL 2022
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
ACL 2022
GPS: Genetic Prompt Search for Efficient Few-Shot Learning
EMNLP 2022
Learning to Detect Noisy Labels Using Model-Based Features
EMNLP 2022
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
ICML 2022
P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks
ACL 2022
ZeroPrompt: Scaling Prompt-Based Pretraining to 1,000 Tasks Improves Zero-Shot Generalization
EMNLP 2022
Distribution Matching for Rationalization
AAAI 2021
Mixtape: Breaking the Softmax Bottleneck Efficiently
NeurIPS 2019
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
ACL 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
NeurIPS 2019
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
ICLR 2018
GLoMo: Unsupervised Learning of Transferable Relational Graphs
NeurIPS 2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
EMNLP 2018
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent
ICLR 2018
Neural Cross-Lingual Named Entity Recognition with Minimal Resources
EMNLP 2018
Neural Models for Reasoning over Multiple Mentions Using Coreference
NAACL 2018
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
NeurIPS 2017
Gated-Attention Readers for Text Comprehension
ACL 2017
Good Semi-supervised Learning That Requires a Bad GAN
NeurIPS 2017
Semi-Supervised QA with Generative Domain-Adaptive Nets
ACL 2017
Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs
IJCAI 2016
Review Networks for Caption Generation
NeurIPS 2016
Revisiting Semi-Supervised Learning with Graph Embeddings
ICML 2016