Tianyu Guo

11 papers A* 3Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
GSM-Agent: Understanding Agentic Reasoning Using Controllable Environments.
CoRR
Hanlin Zhu, Tianyu Guo, Song Mei, Stuart Russell, Nikhil Ghosh, Alberto Bietti, Jiantao Jiao
2025 J jnl
Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers.
CoRR
Yixiao Huang, Hanlin Zhu, Tianyu Guo, Jiantao Jiao, Somayeh Sojoudi, Michael I. Jordan, Stuart Russell, Song Mei
2025 J jnl
How Do LLMs Perform Two-Hop Reasoning in Context?
CoRR
Tianyu Guo, Hanlin Zhu, Ruiqi Zhang, Jiantao Jiao, Song Mei, Michael I. Jordan, Stuart Russell
2025 J jnl
IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis.
CoRR
Hanyu Li, Haoyu Liu, Tingyu Zhu, Tianyu Guo, Zeyu Zheng, Xiaotie Deng, Michael I. Jordan
2024 J jnl
Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs.
CoRR
Tianyu Guo, Druv Pai, Yu Bai, Jiantao Jiao, Michael I. Jordan, Song Mei
2024 A* conf
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis.
ICML
Tianyu Guo, Sai Praneeth Karimireddy, Michael I. Jordan
2024 J jnl
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis.
CoRR
Tianyu Guo, Sai Praneeth Karimireddy, Michael I. Jordan
2024 A* conf
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations.
ICLR
Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai
2023 J jnl
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations.
CoRR
Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai
2023 A* conf
What can a Single Attention Layer Learn? A Study Through the Random Features Lens.
NeurIPS
Hengyu Fu, Tianyu Guo, Yu Bai, Song Mei
2023 J jnl
What can a Single Attention Layer Learn? A Study Through the Random Features Lens.
CoRR
Hengyu Fu, Tianyu Guo, Yu Bai, Song Mei