Jin, Tian

8 publications

AAAI 2025 EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar Pengyu Zhang, Xieyuanli Chen, Yuwei Chen, Beizhen Bi, Zhuo Xu, Tian Jin, Xiaotao Huang, Liang Shen

NeurIPS 2025 GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments Enjun Du, Xunkai Li, Tian Jin, Zhihan Zhang, Rong-Hua Li, Guoren Wang

ICML 2025 Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding Tian Jin, Ellie Y Cheng, Zachary Ankner, Nikunj Saunshi, Blake M Elias, Amir Yazdanbakhsh, Jonathan Ragan-Kelley, Suvinay Subramanian, Michael Carbin

ICLR 2025 The Journey Matters: Average Parameter Count over Pre-Training Unifies Sparse and Dense Scaling Laws Tian Jin, Ahmed Imtiaz Humayun, Utku Evci, Suvinay Subramanian, Amir Yazdanbakhsh, Dan Alistarh, Gintare Karolina Dziugaite

ICLRW 2024 Expressing and Exploiting Parallelism in Language Model Decoding Tian Jin, Ellie Y Cheng, Michael Carbin

ICLR 2024 The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory Before In-Context Learning Tian Jin, Nolan Clement, Xin Dong, Vaishnavh Nagarajan, Michael Carbin, Jonathan Ragan-Kelley, Gintare Karolina Dziugaite

NeurIPS 2022 Pruning’s Effect on Generalization Through the Lens of Training and Regularization Tian Jin, Michael Carbin, Dan Roy, Jonathan Frankle, Gintare Karolina Dziugaite

NeurIPSW 2022 The Effect of Data Dimensionality on Neural Network Prunability Zachary Ankner, Alex Renda, Gintare Karolina Dziugaite, Jonathan Frankle, Tian Jin