Sid Wang

According to our database, Sid Wang authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training.

Bo Wu, Sid Wang, Yunhao Tang, Jia Ding, Eryk Helenowski, Liang Tan, Tengyu Xu, Tushar Gowda, Zhengxing Chen, Chen Zhu, Xiaocheng Tang, Yundi Qian, Beibei Zhu, Rui Hou

CoRR, May, 2025

Learning to chain-of-thought with Jensen's evidence lower bound.

Yunhao Tang, Sid Wang, Rémi Munos

CoRR, March, 2025

2024

Now It Sounds Like You: Learning Personalized Vocabulary On Device.

Ashish Shenoy, Sid Wang, Pierce Chuang, John Nguyen

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

READ: Recurrent Adaptation of Large Transformers.

Sid Wang, John Nguyen, Ke Li, Carole-Jean Wu

CoRR, 2023

TreePiece: Faster Semantic Parsing via Tree Tokenization.

Sid Wang, Akshat Shrivastava, Sasha Livshits

CoRR, 2023

Privately Customizing Prefinetuning to Better Match User Data in Federated Learning.

Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar

CoRR, 2023

Treepiece: Faster Semantic Parsing via Tree Tokenization.

Sid Wang, Akshat Shrivastava, Aleksandr Livshits

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023