Tianyu Gao
Princeton University
H-index: 18
North America-United States
Top articles of Tianyu Gao
Long-Context Language Modeling with Parallel Context Encoding
arXiv preprint arXiv:2402.16617
2024/2/26
Tianyu Gao
H-Index: 8
Danqi Chen
H-Index: 18
Improving Language Understanding from Screenshots
arXiv preprint arXiv:2402.14073
2024/2/21
Fine-tuning language models with just forward passes
Advances in Neural Information Processing Systems
2024/2/13
Evaluating large language models at evaluating instruction following
arXiv preprint arXiv:2310.07641
2023/10/11
Sheared llama: Accelerating language model pre-training via structured pruning
arXiv preprint arXiv:2310.06694
2023/10/10
MoQA: Benchmarking Multi-Type Open-Domain Question Answering
2023/7
Enabling large language models to generate text with citations
arXiv preprint arXiv:2305.14627
2023/5/24
Tianyu Gao
H-Index: 8
Danqi Chen
H-Index: 18
Text sentence processing method and apparatus, computer device, and storage medium
2023/3/30
What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
2023
Recovering private text in federated learning of language models
NeurIPS 2022
2022/12/6
Automatic label sequence generation for prompting sequence-to-sequence models
arXiv preprint arXiv:2209.09401
2022/9/20
Should you mask 15% in masked language modeling?
EACL 2023
2023
Ditch the gold standard: Re-evaluating conversational question answering
arXiv preprint arXiv:2112.08812
2021/12/16
Tianyu Gao
H-Index: 8
Danqi Chen
H-Index: 18
Manual evaluation matters: reviewing test protocols of distantly supervised relation extraction
arXiv preprint arXiv:2105.09543
2021/5/20
Simcse: Simple contrastive learning of sentence embeddings
arXiv preprint arXiv:2104.08821
2021/4/18
Tianyu Gao
H-Index: 8
Danqi Chen
H-Index: 18
KEPLER: A unified model for knowledge embedding and pre-trained language representation
Transactions of the Association for Computational Linguistics
2021/2/1
Making pre-trained language models better few-shot learners
arXiv preprint arXiv:2012.15723
2020/12/31
Meta-information guided meta-learning for few-shot relation classification
2020/12
Few-shot relation extraction via bayesian meta-learning on relation graphs
ICML'20
2020/7/5
Learning from context or names? an empirical study on neural relation extraction
arXiv preprint arXiv:2010.01923
2020/10/5
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