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ORCIDDylan Zhang
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2020 – today
- 2026
[i16]Dylan Zhang, Yufeng Xu, Haojin Wang, Qingzhi Chen, Hao Peng:
Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning. CoRR abs/2602.01058 (2026)- [i15]Mohamed Sobhi Jabal, Jikai Zhang, Dominic LaBella, Jessica L. Houk, Dylan Zhang, Jeffrey D. Rudie, Kirti Magudia, Maciej A. Mazurowski, Evan Calabrese:
Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment. CoRR abs/2603.21494 (2026) - [i14]Peiran Li, Fangzhou Lin, Shuo Xing, Jiashuo Sun, Dylan Zhang, Siyuan Yang, Chaoqun Ni, Zhengzhong Tu:
Let the Abyss Stare Back Adaptive Falsification for Autonomous Scientific Discovery. CoRR abs/2603.29045 (2026) - [i13]Dylan Zhang, Yanshan Lin, Zhengkun Wu, Yihang Sun, Bingxuan Li, Dianqi Li, Hao Peng:
Useful Memories Become Faulty When Continuously Updated by LLMs. CoRR abs/2605.12978 (2026) - [i12]Xuying Ning, Katherine Tieu, Dongqi Fu, Tianxin Wei, Zihao Li, Yuanchen Bei, Jiaru Zou, Mengting Ai, Zhining Liu, Ting-Wei Li, Lingjie Chen, Yanjun Zhao, Ke Yang, Bingxuan Li, Cheng Qian, Gaotang Li, Xiao Lin, Zhichen Zeng, Ruizhong Qiu, Sirui Chen, Yifan Sun, Xiyuan Yang, Ruida Wang, Rui Pan, Chenyuan Yang, Dylan Zhang, Liri Fang, Zikun Cui, Yang Cao, Pan Chen, Dorothy Sun, Ren Chen, Mahesh Srinivasan, Nipun Mathur, Yinglong Xia, Hong Li, Hong Yan, Pan Lu, Lingming Zhang, Tong Zhang, Hanghang Tong, Jingrui He:
Code as Agent Harness. CoRR abs/2605.18747 (2026) - 2025
- [j1]Hanning Zhang, Pengcheng Wang, Shizhe Diao, Yong Lin, Rui Pan, Hanze Dong, Dylan Zhang, Pavlo Molchanov, Tong Zhang:
Entropy-Regularized Process Reward Model. Trans. Mach. Learn. Res. 2025 (2025) - [c7]Dylan Zhang, Justin Wang, Tianran Sun:
Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarcity. ACL (Findings) 2025: 23101-23118 - [c6]Dylan Zhang, Justin Wang, François Charton:
Diversification Catalyzes Language Models' Instruction Generalization To Unseen Semantics. ACL (Findings) 2025: 23236-23249 - [c5]Rui Pan, Dylan Zhang, Hanning Zhang, Xingyuan Pan, Minrui Xu, Jipeng Zhang, Renjie Pi, Xiaoyu Wang, Tong Zhang:
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting. ACL (1) 2025: 31959-31982 - [c4]Qirun Dai, Dylan Zhang, Jiaqi W. Ma, Hao Peng:
Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities. EMNLP (Findings) 2025: 7079-7102 - [i11]Qirun Dai, Dylan Zhang, Jiaqi W. Ma, Hao Peng:
Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities. CoRR abs/2501.12147 (2025) - [i10]Dylan Zhang, Qirun Dai, Hao Peng:
The Best Instruction-Tuning Data are Those That Fit. CoRR abs/2502.04194 (2025) - [i9]Dylan Zhang, Justin Wang, Tianran Sun:
Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarsity. CoRR abs/2502.11901 (2025) - [i8]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:
Adaptation of Agentic AI. CoRR abs/2512.16301 (2025) - 2024
- [c3]Qixuan Zhang, Zhifeng Wang
, Dylan Zhang, Wenjia Niu, Sabrina B. Caldwell, Tom Gedeon, Yang Liu, Zhenyue Qin:
Visual Prompting in LLMs for Enhancing Emotion Recognition. EMNLP 2024: 4484-4499 - [c2]Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan:
LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents. SIGSOFT FSE Companion 2024: 388-398 - [i7]Dylan Zhang, Justin Wang, François Charton:
Instruction Diversity Drives Generalization To Unseen Tasks. CoRR abs/2402.10891 (2024) - [i6]Dylan Zhang, Justin Wang, François Charton:
From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performers. CoRR abs/2405.19787 (2024) - [i5]Dylan Zhang, Shizhe Diao, Xueyan Zou, Hao Peng:
PLUM: Preference Learning Plus Test Cases Yields Better Code Language Models. CoRR abs/2406.06887 (2024) - [i4]Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Wenjia Niu, Sabrina B. Caldwell, Tom Gedeon, Yang Liu, Zhenyue Qin:
Visual Prompting in LLMs for Enhancing Emotion Recognition. CoRR abs/2410.02244 (2024) - [i3]Dylan Zhang, Justin Wang, François Charton:
Only-IF:Revealing the Decisive Effect of Instruction Diversity on Generalization. CoRR abs/2410.04717 (2024) - [i2]Hanning Zhang, Pengcheng Wang, Shizhe Diao, Yong Lin, Rui Pan, Hanze Dong, Dylan Zhang, Pavlo Molchanov, Tong Zhang:
Entropy-Regularized Process Reward Model. CoRR abs/2412.11006 (2024) - 2023
- [c1]Dylan Zhang, Homin Park, Shili Xiang:
Linking Mobility Traces of the Same User Across Different Datasets. SOLI 2023: 1-8 - [i1]Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan:
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis. CoRR abs/2309.05833 (2023)
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last updated on 2026-06-12 00:50 CEST by the dblp team
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