Kung-Hsiang (Steeve) Huang

Kung-Hsiang (Steeve) Huang

Member of Technical Staff · Amazon AGI SF Lab

San Francisco, California kh.huang@alumni.usc.edu

About Me

I'm a Member of Technical Staff at Amazon AGI SF Lab, where I lead tool-use post-training to enable agents to reliably complete long-horizon knowledge-work tasks across web, code, terminal, and enterprise systems.

Prior to that, I was a senior research scientist at Salesforce AI Research, where I worked on LLM/VLM post-training (ACL 2025 Findings, ACL 2025 Findings), computer use agents (TMLR), environment simulation (NAACL 2025, TMLR), deep research (ICLR 2026, EMNLP 2025 Industry Track), reasoning (ICLR 2026), and trustworthiness & alignment (NeurIPS 2024, NAACL 2025 Findings, TMLR). I earned my PhD at the University of Illinois Urbana-Champaign, advised by Prof. Heng Ji.

Recent News

  • Sep, 2026 I have three papers accepted by EMNLP 2026.
  • May, 2026 I have one paper accepted by TMLR.
  • Apr, 2026 I joined Amazon AGI SF Lab as a Member of Technical Staff.
  • Apr, 2026 I have one paper accepted by ACL 2026 and another by ACL 2026 Industry Track.
  • Feb, 2026 I was promoted to Senior Research Scientist at Salesforce AI Research.
  • Jan, 2026 I have two papers accepted by ICLR 2026 and one paper accepted by TMLR.
  • Nov, 2025 I have one paper accepted by TMLR.
  • May, 2025 I have three papers accepted by ACL 2025.
  • Jan, 2025 I have two papers accepted by NAACL 2025.
  • Nov, 2024 I have one paper accepted by COLING 2025.
  • Nov, 2024 I have one paper accepted by TKDE.
  • Nov, 2024 I am selected as a top reviewer for NeurIPS 2024.
  • Sep, 2024 I have one paper accpeted by NeurIPS 2024.

Selected Publications

* Equal Contribution. Please refer to my Google Scholar page for a complete list of publications.

2026

Seeing is Believing? Evaluating Vision-Language Model Susceptibility in Agent-to-Agent Multimodal Persuasion
Haoyi Qiu, Yilun Zhou, Pranav Narayanan Venkit, Kung-Hsiang Huang, Jiaxin Zhang, Nanyun Peng, Chien-Sheng Wu
EMNLP 2026
PDF Bibtex
MMGR: Multi-Modal Generative Reasoning Benchmark and Evaluation
Zefan Cai*, Haoyi Qiu*, Tianyi Ma*, Haozhe Zhao*, Gengze Zhou, Tingting Liao, Xinyan Velocity Yu, Kung-Hsiang Huang, Ke Wan, Shawn Lin, Parisa Kordjamshidi, Minjia Zhang, Wen Xiao, Jiuxiang Gu, Nanyun Peng, Junjie Hu
EMNLP 2026
PDF Bibtex Project Code Dataset
Agentic Uncertainty Quantification
Jiaxin Zhang, Prafulla Kumar Choubey, Kung-Hsiang Huang, Caiming Xiong, Chien-Sheng Wu
EMNLP 2026 Findings
PDF Bibtex
GUI-KV: Efficient GUI Agents via KV Cache with Spatio-Temporal Awareness
Kung-Hsiang Huang, Haoyi Qiu, Yutong Dai, Caiming Xiong, Chien-Sheng Wu
TMLR
PDF Bibtex Code
GTA: Generating Long-horizon Tasks for Web Agents at Scale
Tenghao Huang, Kung-Hsiang Huang, Prafulla Kumar Choubey, Yilun Zhou, Muhao Chen, Jonathan May, Chien-Sheng Wu
ACL 2026
Bibtex
Don’t Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination
Prafulla Kumar Choubey*, Kung-Hsiang Huang*, Pranav Narayanan Venkit*, Jiaxin Zhang*, Vaibhav Vats, Yu Li, Xiangyu Peng, Chien-Sheng Wu
ACL 2026 Industry Track
Bibtex
CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions
Kung-Hsiang Huang, Akshara Prabhakar, Onkar Thorat, Divyansh Agarwal, Prafulla Kumar Choubey, Yixin Mao, Silvio Savarese, Caiming Xiong, Chien-Sheng Wu
TMLR
PDF Bibtex Code Dataset
Nudging the Boundaries of LLM Reasoning
Justin Chih-Yao Chen, Xiangyu Peng, Prafulla Kumar Choubey, Kung-Hsiang Huang, Jiaxin Zhang, Mohit Bansal, Chien-Sheng Wu
ICLR 2026
PDF Bibtex
DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence
Pranav Narayanan Venkit, Philippe Laban, Yilun Zhou, Kung-Hsiang Huang, Yixin Mao, Chien-Sheng Wu
ICLR 2026
PDF Bibtex

2025

Benchmarking Deep Search over Heterogeneous Enterprise Data
Prafulla Kumar Choubey, Xiangyu Peng, Shilpa Bhagavath, Kung-Hsiang Huang, Caiming Xiong, Chien-Sheng Wu
EMNLP 2025 Industry Track
PDF Bibtex
Multimodal Cultural Safety: Evaluation Frameworks and Alignment Strategies
Haoyi Qiu, Kung-Hsiang Huang, Ruichen Zheng, Jiao Sun, Nanyun Peng
TMLR
PDF Bibtex
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding
Kung-Hsiang Huang, Can Qin, Haoyi Qiu, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
ACL 2025 Findings
PDF Bibtex Code Dataset
LAM Simulator: Advancing Data Generation for Large Action Models Trainings via Online Exploration and Feedback Simulation
Thai Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
ACL 2025 Findings
PDF Bibtex
M2-TabFact: Multi-Document Multi-Modal Fact Verification with Visual and Textual Representations of Tabular Data
Mingyang Zhou, Lingyu Zhang, Sophia Horng, Maximillian Chen, Kung-Hsiang Huang, Shih-Fu Chang
ACL 2025 Findings
PDF Bibtex
CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments
Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, Yixin Mao, Huan Wang, Silvio Savarese, Caiming Xiong, Philippe Laban, Chien-Sheng Wu
NAACL 2025.  
PDF Bibtex Code Dataset Leaderboard
Evaluating Cultural and Social Awareness of LLM Web Agents
Haoyi Qiu, Alexander R. Fabbri*, Divyansh Agarwal*, Kung-Hsiang Huang*, Sarah Tan, Nanyun Peng, Chien-Sheng Wu
NAACL 2025 Findings.  
PDF Bibtex

Service

ACL Rolling Review Area Chair 2024 — 2025
Reviewer
2025 2024 2023 2022 2021
ACL 
EMNLP 
NAACL 
NeurIPS 
ICLR 
ICML 
TMLR 
JAIR