Dylan Zhang

According to our database, Dylan Zhang authored at least 19 papers between 2023 and 2026.

Collaborative distances:

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

2026

Let the Abyss Stare Back Adaptive Falsification for Autonomous Scientific Discovery.

Peiran Li, Fangzhou Lin, Shuo Xing, Jiashuo Sun, Dylan Zhang, Siyuan Yang, Chaoqun Ni, Zhengzhong Tu

CoRR, March, 2026

Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment.

Mohamed Sobhi Jabal, Jikai Zhang, Dominic LaBella, Jessica L. Houk, Dylan Zhang, Jeffrey D. Rudie, Kirti Magudia, Maciej A. Mazurowski, Evan Calabrese

CoRR, March, 2026

Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning.

Dylan Zhang, Yufeng Xu, Haojin Wang, Qingzhi Chen, Hao Peng

CoRR, February, 2026

2025

Adaptation of Agentic AI.

Pengcheng Jiang, Jiacheng Lin, Zhiyi Shi, Zifeng Wang, Luxi He, Yichen Wu, Ming Zhong, Peiyang Song, Qizheng Zhang, Heng Wang, Xueqiang Xu, Hanwen Xu, Pengrui Han, Dylan Zhang, Jiashuo Sun, Chaoqi Yang, Kun Qian, Tian Wang, Changran Hu, Manling Li, Quanzheng Li, Hao Peng, Sheng Wang, Jingbo Shang, Chao Zhang, Jiaxuan You, Liyuan Liu, Pan Lu, Yu Zhang, Heng Ji, Yejin Choi, Dawn Song, Jimeng Sun, Jiawei Han

CoRR, December, 2025

Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarsity.

Dylan Zhang, Justin Wang, Tianran Sun

CoRR, February, 2025

The Best Instruction-Tuning Data are Those That Fit.

Dylan Zhang, Qirun Dai, Hao Peng

CoRR, February, 2025

Entropy-Regularized Process Reward Model.

Hanning Zhang, Pengcheng Wang, Shizhe Diao, Yong Lin, Rui Pan, Hanze Dong, Dylan Zhang, Pavlo Molchanov, Tong Zhang

Trans. Mach. Learn. Res., 2025

Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities.

Qirun Dai, Dylan Zhang, Jiaqi W. Ma, Hao Peng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarcity.

Dylan Zhang, Justin Wang, Tianran Sun

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Diversification Catalyzes Language Models' Instruction Generalization To Unseen Semantics.

Dylan Zhang, Justin Wang, François Charton

Proceedings of the Findings of the Association for Computational Linguistics, 2025

ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting.

Rui Pan, Dylan Zhang, Hanning Zhang, Xingyuan Pan, Minrui Xu, Jipeng Zhang, Renjie Pi, Xiaoyu Wang, Tong Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Only-IF:Revealing the Decisive Effect of Instruction Diversity on Generalization.

Dylan Zhang, Justin Wang, François Charton

CoRR, 2024

PLUM: Preference Learning Plus Test Cases Yields Better Code Language Models.

Dylan Zhang, Shizhe Diao, Xueyan Zou, Hao Peng

CoRR, 2024

From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performers.

Dylan Zhang, Justin Wang, François Charton

CoRR, 2024

Instruction Diversity Drives Generalization To Unseen Tasks.

Dylan Zhang, Justin Wang, François Charton

CoRR, 2024

LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents.

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Visual Prompting in LLMs for Enhancing Emotion Recognition.

Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Wenjia Niu, Sabrina B. Caldwell, Tom Gedeon, Yang Liu, Zhenyue Qin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis.

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

CoRR, 2023

Linking Mobility Traces of the Same User Across Different Datasets.

Dylan Zhang, Homin Park, Shili Xiang

Proceedings of the IEEE International Conference on Service Operations and Logistics, 2023