Tianlang Chen

According to our database, Tianlang Chen authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap.

Tianlang Chen, Shirley Wu, Jure Leskovec

CoRR, May, 2026

Improving Diffusion Language Model Decoding through Joint Search in Generation Order and Token Space.

Yangyi Shen, Tianjian Feng, Jiaqi Han, Wen Wang, Tianlang Chen, Chunhua Shen, Jure Leskovec, Stefano Ermon

CoRR, January, 2026

2025

RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance.

Tianlang Chen, Minkai Xu, Jure Leskovec, Stefano Ermon

CoRR, September, 2025

Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute.

Sheng Liu, Tianlang Chen, Pan Lu, Haotian Ye, Yizheng Chen, Lei Xing, James Zou

CoRR, June, 2025

Exchangeability in Neural Network Architectures and its Application to Dynamic Pruning.

Pu Yi, Tianlang Chen, Yifan Yang, Sara Achour

CoRR, June, 2025

RelGNN: Composite Message Passing for Relational Deep Learning.

Tianlang Chen, Charilaos I. Kanatsoulis, Jure Leskovec

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning.

Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang

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

Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products.

Shengjie Luo, Tianlang Chen, Aditi S. Krishnapriyan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

One Transformer Can Understand Both 2D & 3D Molecular Data.

Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He

Proceedings of the Eleventh International Conference on Learning Representations, 2023