Publications

Peer-Predictive Self-Training for Language Models
Shi Feng*, Hanlin Zhang*, Sham Kakade, Yiling Chen
In submission to ICML 2026

Information Elicitation by Ordinal Agreement
Yiling Chen*, Shi Feng*, Grant Schoenebeck*, Fang-Yi Yu*
In submission to EC 2026

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
Siwei Wang*, Yifei Shen*, Haoran Sun*, Shi Feng*, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
The Fourteenth International Conference on Learning Representations (ICLR 2026)

Data Reliability Scoring
Yiling Chen*, Shi Feng*, Paul Kattuman*, Fang-Yi Yu*
The Twenty-Sixth ACM Conference on Economics and Computation (EC 2025) Poster Session

Carrot and Stick: Eliciting Comparison Data and Beyond
Yiling Chen*, Shi Feng*, Fang-Yi Yu*
The 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models
Siwei Wang*, Yifei Shen*, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
The 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Combinatorial Causal Bandits without Graph Skeleton
Shi Feng*, Nuoya Xiong*, Wei Chen
The 16th Asian Conference on Machine Learning (ACML 2024)

Combinatorial Causal Bandits
Shi Feng, Wei Chen
The 37th AAAI Conference on Artificial Intelligence (AAAI 2023)

Peer Prediction for Learning Agents
Shi Feng, Fang-Yi Yu, Yiling Chen
The 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Causal Inference for Influence Propagation – Identifiability of the Independent Cascade Model
Shi Feng, Wei Chen
The 10th International Conference on Computational Data and Social Networks (CSoNet 2021) | 🏆 Best Paper Award

* denotes equal contribution or alphabetical order