← Authors

Zhilin Yang

30 papers · 2016–2025 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (60) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸƒ Academic Marathon (9) 🌟 Keyword Trendsetter Combo (5) πŸ† Grand Slam 🀝 Dynamic Duo (12) πŸ’Ž Century Club (30) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (115) ⚑ Prolific Year (6)

Conferences

ACL (9) NIPS (6) EMNLP (5) ICLR (5) ICML (2) AAAI (1) IJCAI (1) NAACL (1)

Top co-authors

Ruslan Salakhutdinov (12) Yanan Zheng (7) William Cohen (6) Jie Tang (5) William W. Cohen (5) Jing Zhou (4) Yujun Chen (4) Zihang Dai (4) Nan Shao (3) Bhuwan Dhingra (3)

Keywords

few-shot learning (5) text classification (5) transfer learning (4) language model (4) zero-shot learning (3) question answering (3) semi-supervised learning (3) pretrained language model (3) natural language understanding (3) attention mechanism (2) generative model (2) prompt tuning (2) recurrent neural network (2) named entity recognition (2) language modeling (2) metric learning (1) feature extraction (1) domain adaptation (1) transformer architecture (1) reinforcement learning (1)

Papers

Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving ICLR 2025
Compositional Task Representations for Large Language Models ICLR 2023
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization ICLR 2023
A Universal Discriminator for Zero-Shot Generalization ACL 2023
Prompt-Based Metric Learning for Few-Shot NER ACL 2023
ZeroPrompt: Scaling Prompt-Based Pretraining to 1,000 Tasks Improves Zero-Shot Generalization EMNLP 2022
Learning to Detect Noisy Labels Using Model-Based Features EMNLP 2022
GPS: Genetic Prompt Search for Efficient Few-Shot Learning 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
GLM: General Language Model Pretraining with Autoregressive Blank Infilling ACL 2022
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
Distribution Matching for Rationalization AAAI 2021
Mixtape: Breaking the Softmax Bottleneck Efficiently NIPS 2019
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context ACL 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding NIPS 2019
Neural Models for Reasoning over Multiple Mentions Using Coreference NAACL 2018
GLoMo: Unsupervised Learning of Transferable Relational Graphs NIPS 2018
Neural Cross-Lingual Named Entity Recognition with Minimal Resources EMNLP 2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering EMNLP 2018
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model ICLR 2018
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent ICLR 2018
Differentiable Learning of Logical Rules for Knowledge Base Reasoning NIPS 2017
Semi-Supervised QA with Generative Domain-Adaptive Nets ACL 2017
Good Semi-supervised Learning That Requires a Bad GAN NIPS 2017
Gated-Attention Readers for Text Comprehension ACL 2017
Revisiting Semi-Supervised Learning with Graph Embeddings ICML 2016
Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs IJCAI 2016
Review Networks for Caption Generation NIPS 2016