Tianyu Gao

54 papers A* 12A 1B 2Journal 28Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs?
CoRR
Adithya Bhaskar, Alexander Wettig, Tianyu Gao, Yihe Dong, Danqi Chen
2025 A* conf
HELMET: How to Evaluate Long-context Models Effectively and Thoroughly.
ICLR
Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen
2025 — conf
How to Train Long-Context Language Models (Effectively).
ACL (1)
Tianyu Gao, Alexander Wettig, Howard Yen, Danqi Chen
2025 J jnl
LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation.
CoRR
Xi Ye, Fangcong Yin, Yinghui He, Joie Zhang, Howard Yen, Tianyu Gao, Greg Durrett, Danqi Chen
2025 A* conf
Metadata Conditioning Accelerates Language Model Pre-training.
ICML
Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen
2025 J jnl
Metadata Conditioning Accelerates Language Model Pre-training.
CoRR
Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen
2024 A* conf
Evaluating Large Language Models at Evaluating Instruction Following.
ICLR
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen
2024 J jnl
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly.
CoRR
Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen
2024 J jnl
How to Train Long-Context Language Models (Effectively).
CoRR
Tianyu Gao, Alexander Wettig, Howard Yen, Danqi Chen
2024 J jnl
Improving Language Understanding from Screenshots.
CoRR
Tianyu Gao, Zirui Wang, Adithya Bhaskar, Danqi Chen
2024 A* conf
LitSearch: A Retrieval Benchmark for Scientific Literature Search.
EMNLP
Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao
2024 J jnl
LitSearch: A Retrieval Benchmark for Scientific Literature Search.
CoRR
Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao
2024 — conf
Long-Context Language Modeling with Parallel Context Encoding.
ACL (1)
Howard Yen, Tianyu Gao, Danqi Chen
2024 J jnl
Long-Context Language Modeling with Parallel Context Encoding.
CoRR
Howard Yen, Tianyu Gao, Danqi Chen
2024 A* conf
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.
ICLR
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen
2023 A* conf
Enabling Large Language Models to Generate Text with Citations.
EMNLP
Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen
2023 J jnl
Enabling Large Language Models to Generate Text with Citations.
CoRR
Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen
2023 J jnl
Evaluating Large Language Models at Evaluating Instruction Following.
CoRR
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen
2023 A* conf
Fine-Tuning Language Models with Just Forward Passes.
NeurIPS
Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora
2023 J jnl
Fine-Tuning Language Models with Just Forward Passes.
CoRR
Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora
2023 J jnl
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.
CoRR
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen
2023 A conf
Should You Mask 15% in Masked Language Modeling?
EACL
Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen
2023 — conf
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning.
ACL (Findings)
Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen
2023 J jnl
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning.
CoRR
Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen
2022 B conf
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models.
COLING
Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou
2022 J jnl
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models.
CoRR
Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou
2022 — conf
Ditch the Gold Standard: Re-evaluating Conversational Question Answering.
ACL (1)
Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen
2022 A* conf
Recovering Private Text in Federated Learning of Language Models.
NeurIPS
Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen
2022 J jnl
Recovering Private Text in Federated Learning of Language Models.
CoRR
Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen
2022 J jnl
Should You Mask 15% in Masked Language Modeling?
CoRR
Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen
2021 J jnl
Ditch the Gold Standard: Re-evaluating Conversational Question Answering.
CoRR
Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen
2021 J jnl
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation.
Trans. Assoc. Comput. Linguistics
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li, Jian Tang
2021 — conf
Making Pre-trained Language Models Better Few-shot Learners.
ACL/IJCNLP (1)
Tianyu Gao, Adam Fisch, Danqi Chen
2021 — conf
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction.
ACL/IJCNLP (Findings)
Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
2021 J jnl
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction.
CoRR
Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
2021 — conf
SimCSE: Simple Contrastive Learning of Sentence Embeddings.
EMNLP (1)
Tianyu Gao, Xingcheng Yao, Danqi Chen
2021 J jnl
SimCSE: Simple Contrastive Learning of Sentence Embeddings.
CoRR
Tianyu Gao, Xingcheng Yao, Danqi Chen
2020 A* conf
Continual Relation Learning via Episodic Memory Activation and Reconsolidation.
ACL
Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
2020 A* conf
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs.
ICML
Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang
2020 J jnl
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs.
CoRR
Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang
2020 — conf
Learning from Context or Names? An Empirical Study on Neural Relation Extraction.
EMNLP (1)
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou
2020 J jnl
Learning from Context or Names? An Empirical Study on Neural Relation Extraction.
CoRR
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou
2020 J jnl
Making Pre-trained Language Models Better Few-shot Learners.
CoRR
Tianyu Gao, Adam Fisch, Danqi Chen
2020 B conf
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification.
COLING
Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
2020 — conf
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction.
AACL/IJCNLP
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun
2020 J jnl
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction.
CoRR
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
2020 A* conf
Neural Snowball for Few-Shot Relation Learning.
AAAI
Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
2019 — conf
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification.
EMNLP/IJCNLP (1)
Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
2019 J jnl
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification.
CoRR
Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
2019 A* conf
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification.
AAAI
Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun
2019 J jnl
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation.
CoRR
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang
2019 J jnl
Neural Snowball for Few-Shot Relation Learning.
CoRR
Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
2019 — conf
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction.
EMNLP/IJCNLP (3)
Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun
2019 J jnl
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction.
CoRR
Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun