Tianyu Gao

According to our database, Tianyu Gao authored at least 28 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly.

Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen

CoRR, 2024

How to Train Long-Context Language Models (Effectively).

Tianyu Gao, Alexander Wettig, Howard Yen, Danqi Chen

CoRR, 2024

Improving Language Understanding from Screenshots.

Tianyu Gao, Zirui Wang, Adithya Bhaskar, Danqi Chen

CoRR, 2024

Evaluating Large Language Models at Evaluating Instruction Following.

Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LitSearch: A Retrieval Benchmark for Scientific Literature Search.

Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Long-Context Language Modeling with Parallel Context Encoding.

Howard Yen, Tianyu Gao, Danqi Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Fine-Tuning Language Models with Just Forward Passes.

Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enabling Large Language Models to Generate Text with Citations.

Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Should You Mask 15% in Masked Language Modeling?

Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning.

Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Recovering Private Text in Federated Learning of Language Models.

Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models.

Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Ditch the Gold Standard: Re-evaluating Conversational Question Answering.

Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation.

Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li, Jian Tang

Trans. Assoc. Comput. Linguistics, 2021

SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Tianyu Gao, Xingcheng Yao, Danqi Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction.

Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Making Pre-trained Language Models Better Few-shot Learners.

Tianyu Gao, Adam Fisch, Danqi Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction.

Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs.

Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning from Context or Names? An Empirical Study on Neural Relation Extraction.

Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Meta-Information Guided Meta-Learning for Few-Shot Relation Classification.

Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Continual Relation Learning via Episodic Memory Activation and Reconsolidation.

Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Neural Snowball for Few-Shot Relation Learning.

Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation.

Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang

CoRR, 2019

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction.

Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification.

Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification.

Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019