Lanxiang Hu

According to our database, Lanxiang Hu authored at least 21 papers between 2022 and 2026.

Collaborative distances:

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

2026

AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications.

Yujie Zhao, Boqin Yuan, Junbo Huang, Haocheng Yuan, Zhongming Yu, Haozhou Xu, Lanxiang Hu, Abhilash Shankarampeta, Zimeng Huang, Wentao Ni, Yuandong Tian, Jishen Zhao

CoRR, February, 2026

d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation.

Yu-Yang Qian, Junda Su, Lanxiang Hu, Peiyuan Zhang, Zhijie Deng, Peng Zhao, Hao Zhang

CoRR, January, 2026

2025

Fast and Accurate Causal Parallel Decoding using Jacobi Forcing.

Lanxiang Hu, Siqi Kou, Yichao Fu, Samyam Rajbhandari, Tajana Rosing, Yuxiong He, Zhijie Deng, Hao Zhang

CoRR, December, 2025

Benchmarking Scientific Understanding and Reasoning for Video Generation using VideoScience-Bench.

Lanxiang Hu, Abhilash Shankarampeta, Yixin Huang, Zilin Dai, Haoyang Yu, Yujie Zhao, Haoqiang Kang, Daniel Zhao, Tajana Rosing, Hao Zhang

CoRR, December, 2025

Stronger Together: On-Policy Reinforcement Learning for Collaborative LLMs.

Yujie Zhao, Lanxiang Hu, Yang Wang, Minmin Hou, Hao Zhang, Ke Ding, Jishen Zhao

CoRR, October, 2025

Towards Interpretable and Inference-Optimal COT Reasoning with Sparse Autoencoder-Guided Generation.

Daniel Zhao, Abhilash Shankarampeta, Lanxiang Hu, Tajana Rosing, Hao Zhang

CoRR, October, 2025

SensorChat: Answering Qualitative and Quantitative Questions during Long-term Multimodal Sensor Interactions.

Xiaofan Yu, Lanxiang Hu, Benjamin Z. Reichman, Dylan Chu, Rushil Chandrupatla, Xiyuan Zhang, Larry Heck, Tajana Simunic Rosing

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2025

General Modular Harness for LLM Agents in Multi-Turn Gaming Environments.

Yuxuan Zhang, Haoyang Yu, Lanxiang Hu, Haojian Jin, Hao Zhang

CoRR, July, 2025

lmgame-Bench: How Good are LLMs at Playing Games?

Lanxiang Hu, Mingjia Huo, Yuxuan Zhang, Haoyang Yu, Eric P. Xing, Ion Stoica, Tajana Rosing, Haojian Jin, Hao Zhang

CoRR, May, 2025

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Format Restriction, and Column Exploration.

Minghang Deng, Ashwin Ramachandran, Canwen Xu, Lanxiang Hu, Zhewei Yao, Anupam Datta, Hao Zhang

CoRR, February, 2025

SensorQA: A Question Answering Benchmark for Daily-Life Monitoring.

Benjamin Z. Reichman, Xiaofan Yu, Lanxiang Hu, Jack Truxal, Atishay Jain, Rushil Chandrupatla, Tajana Rosing, Larry Heck

Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving.

Yue Pan, Zihan Xia, Po-Kai Hsu, Lanxiang Hu, Hyungyo Kim, Janak Sharda, Minxuan Zhou, Nam Sung Kim, Shimeng Yu, Tajana Rosing, Mingu Kang

Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

GameArena: Evaluating LLM Reasoning through Live Computer Games.

Lanxiang Hu, Qiyu Li, Anze Xie, Nan Jiang, Ion Stoica, Haojian Jin, Hao Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Scaling Long Context Training Data by Long-Distance Referrals.

Yonghao Zhuang, Lanxiang Hu, Longfei Yun, Souvik Kundu, Zhengzhong Liu, Eric P. Xing, Hao Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs.

Lanxiang Hu, Tajana Rosing, Hao Zhang

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

2024

Demo: A Real Time Question Answering System for Multimodal Sensors using LLMs.

Xiaofan Yu, Lanxiang Hu, Benjamin Z. Reichman, Rushil Chandrupatla, Dylan Chu, Xiyuan Zhang, Larry Heck, Tajana Rosing

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Online Speculative Decoding.

Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CLLMs: Consistency Large Language Models.

Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

PockEngine: Sparse and Efficient Fine-tuning in a Pocket.

Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

A Data-Driven and Human-Centric EV Charging Recommendation System at City-Scale.

Jingping Nie, Stephen Xia, Yanchen Liu, Shengxuan Ding, Lanxiang Hu, Minghui Zhao, Yuang Fan, Mohamed A. Abdel-Aty, Matthias Preindl, Xiaofan Jiang

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022

Human-centric data-driven optimization and recommendation in EV-interfaced grid at city scale: poster abstract.

Jingping Nie, Lanxiang Hu, Yian Liu, Yuang Fan, Matthias Preindl, Xiaofan Jiang

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022