← Authors

Tianyu Gao

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

Achievements

πŸ—ΊοΈ Taxonomy Completionist (62) 🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🐣 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