Sotabase

Career

· Research Scientist, Meta2024–
· Research Intern, Google DeepMind2023–2023
· Student Researcher, Google DeepMind2022–2023
· Visiting Researcher, Facebook AI2020–2021
· Summer Research Intern, Alibaba Group2018–2018
· Graduate Student Researcher, Berkeley RISE Lab2018–2024
· Public Replation Chair, 2017 Michigan China Forum2017–2017
· Co-presidents, SJTU Student & Alumni Association2017–2018
· Undergraduate Student Researcher, 美国密歇根大学2016–2018

Publications (0)

The Llama 3 Herd of Models
2024
12,282
cited
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
International Conference on Learning Representations · 2024
1,068
cited
Gorilla: Large Language Model Connected with Massive APIs
Neural Information Processing Systems · 2023
914
cited
AgentBench: Evaluating LLMs as Agents
International Conference on Learning Representations · 2023
531
cited
RAFT: Adapting Language Model to Domain Specific RAG
arXiv.org · 2024
307
cited
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Neural Information Processing Systems · 2022
216
cited
Contrastive Code Representation Learning
Conference on Empirical Methods in Natural Language Processing · 2020
171
cited
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs
Symposium on Field Programmable Gate Arrays · 2018
122
cited
GenAx: A Genome Sequencing Accelerator
International Symposium on Computer Architecture · 2018
100
cited
NovelD: A Simple yet Effective Exploration Criterion
Neural Information Processing Systems · 2021
89
cited
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Neural Information Processing Systems · 2024
84
cited
Multitask Vision-Language Prompt Tuning
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2022
78
cited
Controllable Text-to-Image Generation with GPT-4
arXiv.org · 2023
61
cited
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
International Conference on Machine Learning · 2023
61
cited
ANODEV2: A Coupled Neural ODE Framework
Neural Information Processing Systems · 2019
58
cited
Efficient Planning in a Compact Latent Action Space
International Conference on Learning Representations · 2022
56
cited
Making Linear MDPs Practical via Contrastive Representation Learning
International Conference on Machine Learning · 2022
54
cited
MADE: Exploration via Maximizing Deviation from Explored Regions
Neural Information Processing Systems · 2021
49
cited
Multi-Agent Collaboration via Reward Attribution Decomposition
arXiv.org · 2020
46
cited
TEMPERA: Test-Time Prompting via Reinforcement Learning
International Conference on Learning Representations · 2022
45
cited
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