Zhilin Wang

14 papers at tracked venues · 12 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

ACL ×7 NeurIPS ×2 AAAI ×1 EMNLP ×1 ICLR ×1 ICML ×1 NAACL ×1

Frequent coauthors

Yafu Li

×6

Yi Dong

×6

Olivier Delalleau

×6

Jiaqi Zeng

×5

Oleksii Kuchaiev

×5

Daniel Egert

×4

Yue Zhang

×4

Yu Cheng

×3

Leyang Cui

×3

Alexander Bukharin

×2

Gerald Shen

×2

Hoo-Chang Shin

×2

Papers

The Best of Both Worlds: Combining Parallel and Sequential Inference Scaling via Aggregation Fine-Tuning
ACL 2026 ·
Yafu Li
, Zhilin Wang,
Tingchen Fu
,
Ganqu Cui
,
Sen Yang
,
Yu Cheng
Diverging Preferences: When do Annotators Disagree and do Models Know?
ICML 2025 ·
Michael J. Q. Zhang
, Zhilin Wang,
Jena D. Hwang
,
Yi Dong
,
Olivier Delalleau
,
Yejin Choi
,
Eunsol Choi
,
Xiang Ren
,
Valentina Pyatkin
HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models
AAAI 2025 ·
Xiongnan Jin
, Zhilin Wang,
Jinpeng Chen
,
Liu Yang
,
Byungkook Oh
,
Seung-won Hwang
,
Jianqiang Li
HelpSteer2-Preference: Complementing Ratings with Preferences
ICLR 2025 · Zhilin Wang,
Alexander Bukharin
,
Olivier Delalleau
,
Daniel Egert
,
Gerald Shen
,
Jiaqi Zeng
,
Oleksii Kuchaiev
,
Yi Dong
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages
NeurIPS 2025 · Zhilin Wang,
Jiaqi Zeng
,
Olivier Delalleau
,
Hoo-Chang Shin
,
Felipe Soares
,
Alexander Bukharin
,
Ellie Evans
,
Yi Dong
,
Oleksii Kuchaiev
HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
ACL 2025 · Zhilin Wang,
Jiaqi Zeng
,
Olivier Delalleau
,
Daniel Egert
,
Ellie Evans
,
Hoo-Chang Shin
,
Felipe Soares
,
Yi Dong
,
Oleksii Kuchaiev
Lost in Literalism: How Supervised Training Shapes Translationese in LLMs
ACL 2025 ·
Yafu Li
,
Ronghao Zhang
, Zhilin Wang,
Huajian Zhang
,
Leyang Cui
,
Yongjing Yin
,
Tong Xiao
,
Yue Zhang
SEE: Continual Fine-tuning with Sequential Ensemble of Experts
ACL 2025 · Zhilin Wang,
Yafu Li
,
Xiaoye Qu
,
Yu Cheng
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
ACL 2025 · Zhilin Wang,
Yafu Li
,
Jianhao Yan
,
Yu Cheng
,
Yue Zhang
Data, Data Everywhere: A Guide for Pretraining Dataset Construction
EMNLP 2024 ·
Jupinder Parmar
,
Shrimai Prabhumoye
,
Joseph Jennings
,
Bo Liu
,
Aastha Jhunjhunwala
, Zhilin Wang,
Mostofa Patwary
,
Mohammad Shoeybi
,
Bryan Catanzaro
HelpSteer 2: Open-source dataset for training top-performing reward models
NeurIPS 2024 · Zhilin Wang,
Yi Dong
,
Olivier Delalleau
,
Jiaqi Zeng
,
Gerald Shen
,
Daniel Egert
,
Jimmy Zhang
,
Makesh Narsimhan Sreedhar
,
Oleksii Kuchaiev
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM
NAACL 2024 · Zhilin Wang,
Yi Dong
,
Jiaqi Zeng
,
Virginia Adams
,
Makesh Narsimhan Sreedhar
,
Daniel Egert
,
Olivier Delalleau
,
Jane Polak Scowcroft
,
Neel Kant
,
Aidan Swope
,
Oleksii Kuchaiev
MAGE: Machine-generated Text Detection in the Wild
ACL 2024 ·
Yafu Li
,
Qintong Li
,
Leyang Cui
,
Wei Bi
, Zhilin Wang,
Longyue Wang
,
Linyi Yang
,
Shuming Shi
,
Yue Zhang
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text
ACL 2024 ·
Yafu Li
, Zhilin Wang,
Leyang Cui
,
Wei Bi
,
Shuming Shi
,
Yue Zhang