Publications

Working Papers

Contextual Procurement Auctions with Bandit Learning
Yiling Chen*, Shi Feng*, Sadie Zhao*
In submission to AAAI 2027

When and What to Price against Model Extraction
Shi Feng, Sadie Zhao, Tuo Zhao, Yiling Chen
In submission to ICLR 2027

MILO: Mode-wise Likelihood Optimization for Post-Training Diversity
Shi Feng, Yiling Chen, Sham M. Kakade, Hanlin Zhang
In submission to ICLR 2027

MOSAIC: Dynamic Benchmarking as Mechanism Design
Hanlin Zhang, Shi Feng, Anton Tsitsulin, Vahab Mirrokni, Yiling Chen, Sham M. Kakade
In submission to ICLR 2027

Learning When to Abort in Transformer Planning: A Mechanistic Study
Shi Feng, Qimin Zhong, Siwei Wang, Yifei Shen, Shang-Hua Teng, Hao Liao, Wei Chen
In submission to ICLR 2027

Learning Incentives, Not Utilities: Certified Selection and Steering in Extensive-Form Games
Shi Feng, Yiling Chen, Tuo Zhao
In submission to ICLR 2027

Publications

Information Elicitation by Ordinal Agreement
Yiling Chen*, Shi Feng*, Grant Schoenebeck*, Fang-Yi Yu*
International Conference on Web and Internet Economics (WINE 2026)

Peer-Predictive Self-Training for Language Model Reasoning
Shi Feng*, Hanlin Zhang*, Fan Nie, Sham Kakade, Yiling Chen
Conference on Language Modeling (COLM 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-Seventh ACM Conference on Economics and Computation (EC 2026)

Strategic Fine-Tuning: Learning from Human Feedback under Incentive Misalignment
Russell Li, Shi Feng, Safwan Hossain, Yiling Chen
Incentive-Based AI Alignment Workshop, EC 2026

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