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ORCIDTianyu Gao 0001
Person information
- affiliation: Princeton University, Department of Computer Science, Princeton Language and Intelligence (PLI), Princeton, NJ, USA
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Tianyu Gao — disambiguation page
- Tianyu Gao 0002
![[0000-0002-5722-9231]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5722-9231")
— Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin, China
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2020 – today
- 2024
[c23]Howard Yen, Tianyu Gao, Danqi Chen:
Long-Context Language Modeling with Parallel Context Encoding. ACL (1) 2024: 2588-2610- [c22]Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao:
LitSearch: A Retrieval Benchmark for Scientific Literature Search. EMNLP 2024: 15068-15083 - [c21]Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen:
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning. ICLR 2024 - [c20]Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen:
Evaluating Large Language Models at Evaluating Instruction Following. ICLR 2024 - [i24]Tianyu Gao, Zirui Wang, Adithya Bhaskar, Danqi Chen:
Improving Language Understanding from Screenshots. CoRR abs/2402.14073 (2024) - [i23]Howard Yen, Tianyu Gao, Danqi Chen:
Long-Context Language Modeling with Parallel Context Encoding. CoRR abs/2402.16617 (2024) - [i22]Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao:
LitSearch: A Retrieval Benchmark for Scientific Literature Search. CoRR abs/2407.18940 (2024) - [i21]Tianyu Gao, Alexander Wettig, Howard Yen, Danqi Chen:
How to Train Long-Context Language Models (Effectively). CoRR abs/2410.02660 (2024) - [i20]Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen:
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly. CoRR abs/2410.02694 (2024) - 2023
- [c19]Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen:
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning. ACL (Findings) 2023: 8298-8319 - [c18]Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen:
Should You Mask 15% in Masked Language Modeling? EACL 2023: 2977-2992 - [c17]Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen:
Enabling Large Language Models to Generate Text with Citations. EMNLP 2023: 6465-6488 - [c16]Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora:
Fine-Tuning Language Models with Just Forward Passes. NeurIPS 2023 - [i19]Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen:
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning. CoRR abs/2305.09731 (2023) - [i18]Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen:
Enabling Large Language Models to Generate Text with Citations. CoRR abs/2305.14627 (2023) - [i17]Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora:
Fine-Tuning Language Models with Just Forward Passes. CoRR abs/2305.17333 (2023) - [i16]Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen:
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning. CoRR abs/2310.06694 (2023) - [i15]Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen:
Evaluating Large Language Models at Evaluating Instruction Following. CoRR abs/2310.07641 (2023) - 2022
- [c15]Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen:
Ditch the Gold Standard: Re-evaluating Conversational Question Answering. ACL (1) 2022: 8074-8085 - [c14]Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. COLING 2022: 4965-4975 - [c13]Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen:
Recovering Private Text in Federated Learning of Language Models. NeurIPS 2022 - [i14]Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen:
Should You Mask 15% in Masked Language Modeling? CoRR abs/2202.08005 (2022) - [i13]Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen:
Recovering Private Text in Federated Learning of Language Models. CoRR abs/2205.08514 (2022) - [i12]Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. CoRR abs/2209.09401 (2022) - 2021
- [j1]Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li, Jian Tang:
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. Trans. Assoc. Comput. Linguistics 9: 176-194 (2021) - [c12]Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. ACL/IJCNLP (Findings) 2021: 1306-1318 - [c11]Tianyu Gao, Adam Fisch, Danqi Chen:
Making Pre-trained Language Models Better Few-shot Learners. ACL/IJCNLP (1) 2021: 3816-3830 - [c10]Tianyu Gao, Xingcheng Yao, Danqi Chen:
SimCSE: Simple Contrastive Learning of Sentence Embeddings. EMNLP (1) 2021: 6894-6910 - [i11]Tianyu Gao, Xingcheng Yao, Danqi Chen:
SimCSE: Simple Contrastive Learning of Sentence Embeddings. CoRR abs/2104.08821 (2021) - [i10]Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. CoRR abs/2105.09543 (2021) - [i9]Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen:
Ditch the Gold Standard: Re-evaluating Conversational Question Answering. CoRR abs/2112.08812 (2021) - 2020
- [c9]Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Neural Snowball for Few-Shot Relation Learning. AAAI 2020: 7772-7779 - [c8]Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Continual Relation Learning via Episodic Memory Activation and Reconsolidation. ACL 2020: 6429-6440 - [c7]Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. COLING 2020: 1594-1605 - [c6]Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. EMNLP (1) 2020: 3661-3672 - [c5]Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang:
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. ICML 2020: 7867-7876 - [c4]Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun:
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. AACL/IJCNLP 2020: 745-758 - [i8]Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. CoRR abs/2004.03186 (2020) - [i7]Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang:
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. CoRR abs/2007.02387 (2020) - [i6]Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. CoRR abs/2010.01923 (2020) - [i5]Tianyu Gao, Adam Fisch, Danqi Chen:
Making Pre-trained Language Models Better Few-shot Learners. CoRR abs/2012.15723 (2020)
2010 – 2019
- 2019
- [c3]Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun:
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification. AAAI 2019: 6407-6414 - [c2]Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun:
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction. EMNLP/IJCNLP (3) 2019: 169-174 - [c1]Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. EMNLP/IJCNLP (1) 2019: 6249-6254 - [i4]Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Neural Snowball for Few-Shot Relation Learning. CoRR abs/1908.11007 (2019) - [i3]Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun:
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction. CoRR abs/1909.13078 (2019) - [i2]Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. CoRR abs/1910.07124 (2019) - [i1]Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang:
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. CoRR abs/1911.06136 (2019)
Coauthor Index
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