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Career

· AI Research Scientist, Meta2025–
· Staff AI Research Scientist, Meta2022–2025
· Research Intern, Facebook AI2021–2021
· Research Intern, Microsoft2020–2021
· Applied Scientist Intern, Amazon2019–2019
· Doctor of Philosophy - PhD, Computer Science, GPA 4.0/4.0, University of Illinois at Urbana-Champaign2017–2022
· Research Assistant, University of Illinois at Urbana-Champaign2017–2022
· Research Assistant, Cornell University2016–2016
· Research Intern, Microsoft2016–2021
· Bachelor's degree, Computer Science, IEEE class, Rank 2/72, Shanghai Jiao Tong University2013–2017

Publications (69)

Llama 2: Open Foundation and Fine-Tuned Chat Models
arXiv.org · 2023
15,617
cited
The Llama 3 Herd of Models
2024
12,282
cited
LIMA: Less Is More for Alignment
Neural Information Processing Systems · 2023
1,157
cited
Towards a Unified Multi-Dimensional Evaluator for Text Generation
Conference on Empirical Methods in Natural Language Processing · 2022
335
cited
Generation-Augmented Retrieval for Open-Domain Question Answering
Annual Meeting of the Association for Computational Linguistics · 2020
296
cited
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
Annual Meeting of the Association for Computational Linguistics · 2021
219
cited
Progressive Prompts: Continual Learning for Language Models
International Conference on Learning Representations · 2023
201
cited
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
North American Chapter of the Association for Computational Linguistics · 2023
153
cited
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Annual Meeting of the Association for Computational Linguistics · 2024
119
cited
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
Conference on Empirical Methods in Natural Language Processing · 2023
105
cited
Hierarchical Text Classification with Reinforced Label Assignment
Conference on Empirical Methods in Natural Language Processing · 2019
103
cited
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
Findings · 2021
84
cited
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types
Knowledge Discovery and Data Mining · 2020
74
cited
Generating Representative Headlines for News Stories
The Web Conference · 2020
74
cited
Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization
Annual Meeting of the Association for Computational Linguistics · 2023
73
cited
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
North American Chapter of the Association for Computational Linguistics · 2021
61
cited
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning
Conference on Empirical Methods in Natural Language Processing · 2020
58
cited
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
Conference on Empirical Methods in Natural Language Processing · 2020
55
cited
End-to-End Reinforcement Learning for Automatic Taxonomy Induction
Annual Meeting of the Association for Computational Linguistics · 2018
54
cited
Taxonomy Completion via Triplet Matching Network
AAAI Conference on Artificial Intelligence · 2021
44
cited
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Yuning Mao | Researcher Profile | Sotabase | Sotabase