Bodun Hu

According to our database, Bodun Hu authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

CUCo: An Agentic Framework for Compute and Communication Co-design.

Bodun Hu, Yoga Sri Varshan V, Saurabh Agarwal, Aditya Akella

CoRR, March, 2026

CARE-RFT: Confidence-Anchored Reinforcement Finetuning for Reliable Reasoning in Large Language Models.

Shuozhe Li, Jincheng Cao, Bodun Hu, Aryan Mokhtari, Leqi Liu, Amy Zhang

CoRR, February, 2026

SYMPHONY: Enabling Compute-Memory Disaggregation in LLM Serving Systems.

Saurabh Agarwal, Bodun Hu, Anyong Mao, Aditya Akella, Shivaram Venkataraman

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

2025

Patchwork: A Unified Framework for RAG Serving.

Bodun Hu, Luis Pabon, Saurabh Agarwal, Aditya Akella

CoRR, May, 2025

ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models.

Liyan Tang, Grace Kim, Xinyu Zhao, Thom Lake, Wenxuan Ding, Fangcong Yin, Prasann Singhal, Manya Wadhwa, Zeyu Leo Liu, Zayne Sprague, Ramya Namuduri, Bodun Hu, Juan Diego Rodriguez, Puyuan Peng, Greg Durrett

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

StitchLLM: Serving LLMs, One Block at a Time.

Bodun Hu, Shuozhe Li, Saurabh Agarwal, Myungjin Lee, Akshay Jajoo, Jiamin Li, Le Xu, Geon-Woo Kim, Donghyun Kim, Hong Xu, Amy Zhang, Aditya Akella

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping.

Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MOSEL: Inference Serving Using Dynamic Modality Selection.

Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J. Yadwadkar, Aditya Akella

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Towards a Machine Learning-Assisted Kernel with LAKE.

Henrique Fingler, Isha Tarte, Hangchen Yu, Ariel Szekely, Bodun Hu, Aditya Akella, Christopher J. Rossbach

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2020

Altis: Modernizing GPGPU Benchmarks.

Bodun Hu, Christopher J. Rossbach

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

2019

Mirovia: A Benchmarking Suite for Modern Heterogeneous Computing.

Bodun Hu, Christopher J. Rossbach

CoRR, 2019