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← Authors

Tianyu Gao

33 papers · 2019–2025 · 11 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸƒ Academic Marathon (6) 🀝 Dynamic Duo (17) πŸ† Grand Slam πŸ’Ž Century Club (33) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (5) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (128)

Conferences

ACL (9) EMNLP (6) IJCNLP (4) ICLR (3) AAAI (2) COLING (2) ICML (2) NIPS (2) AACL (1) EACL (1) MICCAI (1)

Top co-authors

Danqi Chen (17) Maosong Sun (13) Zhiyuan Liu (13) Xu Han (12) Jie Zhou (8) Peng Li (7) Yankai Lin (6) Howard Yen (5) Alexander Wettig (3) Yuan Yao (3)

Keywords

few-shot learning (10) relation extraction (6) language model (4) in-context learning (4) relation classification (4) text mining (3) named entity recognition (3) knowledge graph (3) neural network (3) benchmark evaluation (2) retrieval-augmented generation (2) prompt-based fine-tuning (2) domain adaptation (2) prototypical network (2) information retrieval (2) knowledge base (2) prompt engineering (2) contrastive learning (2) metric learning (2) text generation (2)

Papers

How to Train Long-Context Language Models (Effectively) ACL 2025 High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning MICCAI 2025 Metadata Conditioning Accelerates Language Model Pre-training ICML 2025 HELMET: How to Evaluate Long-context Models Effectively and Thoroughly ICLR 2025 Long-Context Language Modeling with Parallel Context Encoding ACL 2024 Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning ICLR 2024 Evaluating Large Language Models at Evaluating Instruction Following ICLR 2024 LitSearch: A Retrieval Benchmark for Scientific Literature Search EMNLP 2024 Should You Mask 15% in Masked Language Modeling? EACL 2023 Fine-Tuning Language Models with Just Forward Passes NIPS 2023 The CRINGE Loss: Learning what language not to model ACL 2023 What In-Context Learning β€œLearns” In-Context: Disentangling Task Recognition and Task Learning ACL 2023 MoQA: Benchmarking Multi-Type Open-Domain Question Answering ACL 2023 Enabling Large Language Models to Generate Text with Citations EMNLP 2023 Ditch the Gold Standard: Re-evaluating Conversational Question Answering ACL 2022 Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models COLING 2022 Recovering Private Text in Federated Learning of Language Models NIPS 2022 Making Pre-trained Language Models Better Few-shot Learners ACL 2021 SimCSE: Simple Contrastive Learning of Sentence Embeddings EMNLP 2021 Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction ACL 2021 Making Pre-trained Language Models Better Few-shot Learners IJCNLP 2021 Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction IJCNLP 2021 Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020 Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020 Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020 More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction AACL 2020 Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020 Neural Snowball for Few-Shot Relation Learning AAAI 2020 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019 FewRel 2.0: Towards More Challenging Few-Shot Relation Classification IJCNLP 2019 OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction EMNLP 2019 OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction IJCNLP 2019 FewRel 2.0: Towards More Challenging Few-Shot Relation Classification EMNLP 2019