Zhilin Yang

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

Achievements

+10 more ↓

🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (9)

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🏃 Academic Marathon (9) 🌟 Keyword Trendsetter Combo (5) 🏆 Grand Slam 🤝 Dynamic Duo (12) 💎 Century Club (30) 🚀 Conference Pioneer 🗃️ 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