Wenlong Ji

16 papers A* 2A 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Theoretical Framework for Prompt Engineering: Approximating Smooth Functions with Transformer Prompts.
CoRR
Ryumei Nakada, Wenlong Ji, Tianxi Cai, James Zou, Linjun Zhang
2025 J jnl
An Overview of Large Language Models for Statisticians.
CoRR
Wenlong Ji, Weizhe Yuan, Emily J. Getzen, Kyunghyun Cho, Michael I. Jordan, Song Mei, Jason Aaron Edward Weston, Weijie J. Su, Jing Xu, Linjun Zhang
2025 J jnl
From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review.
CoRR
Yaohui Zhang, Haijing Zhang, Wenlong Ji, Tianyu Hua, Nick Haber, Hancheng Cao, Weixin Liang
2025 J jnl
Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards.
CoRR
Wenlong Ji, Yihan Pan, Ruihao Zhu, Lihua Lei
2025 J jnl
Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI.
CoRR
Wenlong Ji, Lihua Lei, Tijana Zrnic
2024 J jnl
Mapping the Increasing Use of LLMs in Scientific Papers.
CoRR
Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D. Manning, James Y. Zou
2024 A* conf
Scaling Laws for the Value of Individual Data Points in Machine Learning.
ICML
Ian Connick Covert, Wenlong Ji, Tatsunori Hashimoto, James Zou
2024 J jnl
Scaling Laws for the Value of Individual Data Points in Machine Learning.
CoRR
Ian Covert, Wenlong Ji, Tatsunori Hashimoto, James Zou
2023 J jnl
The Power of Contrast for Feature Learning: A Theoretical Analysis.
J. Mach. Learn. Res.
Wenlong Ji, Zhun Deng, Ryumei Nakada, James Zou, Linjun Zhang
2023 A conf
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data.
AISTATS
Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng, Wenlong Ji, James Zou, Linjun Zhang
2023 J jnl
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data.
CoRR
Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng, Wenlong Ji, James Zou, Linjun Zhang
2022 A* conf
An Unconstrained Layer-Peeled Perspective on Neural Collapse.
ICLR
Wenlong Ji, Yiping Lu, Yiliang Zhang, Zhun Deng, Weijie J. Su
2022 J jnl
Importance Tempering: Group Robustness for Overparameterized Models.
CoRR
Yiping Lu, Wenlong Ji, Zachary Izzo, Lexing Ying
2021 J jnl
An Unconstrained Layer-Peeled Perspective on Neural Collapse.
CoRR
Wenlong Ji, Yiping Lu, Yiliang Zhang, Zhun Deng, Weijie J. Su
2021 J jnl
The Power of Contrast for Feature Learning: A Theoretical Analysis.
CoRR
Wenlong Ji, Zhun Deng, Ryumei Nakada, James Zou, Linjun Zhang
2021 J jnl
Two-Stage Water Jet Landing Point Prediction Model for Intelligent Water Shooting Robot.
Sensors
Yunhan Lin, Wenlong Ji, Haowei He, Yaojie Chen