Honglin Lin

According to our database, Honglin Lin authored at least 28 papers between 2022 and 2026.

Collaborative distances:

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

2026

Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs.

Yu Li, Xiaoran Shang, Qizhi Pei, Yun Zhu, Xin Gao, Honglin Lin, Zhanping Zhong, Zhuoshi Pan, Zheng Liu, Xiaoyang Wang, Conghui He, Dahua Lin, Feng Zhao, Lijun Wu

CoRR, April, 2026

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning.

Juekai Lin, Yun Zhu, Honglin Lin, Sijing Li, Tianwei Lin, Zheng Liu, Xiaoyang Wang, Wenqiao Zhang, Lijun Wu

CoRR, April, 2026

Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training.

Chuxue Cao, Honglin Lin, Zhanping Zhong, Xin Gao, Mengzhang Cai, Conghui He, Sirui Han, Lijun Wu

CoRR, March, 2026

SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse Parsing.

Tong Zhang, Honglin Lin, Zhou Liu, Chong Chen, Wentao Zhang

CoRR, February, 2026

MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods.

Honglin Lin, Zheng Liu, Yun Zhu, Chonghan Qin, Juekai Lin, Xiaoran Shang, Conghui He, Wentao Zhang, Lijun Wu

CoRR, January, 2026

Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility.

Honglin Lin, Chonghan Qin, Zheng Liu, Qizhi Pei, Yu Li, Zhanping Zhong, Xin Gao, Yanfeng Wang, Conghui He, Lijun Wu

CoRR, January, 2026

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch.

Zheng Liu, Honglin Lin, Chonghan Qin, Xiaoyang Wang, Xin Gao, Yu Li, Mengzhang Cai, Yun Zhu, Zhanping Zhong, Qizhi Pei, Zhuoshi Pan, Xiaoran Shang, Bin Cui, Conghui He, Wentao Zhang, Lijun Wu

CoRR, January, 2026

2025

OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value.

Mengzhang Cai, Xin Gao, Yu Li, Honglin Lin, Zheng Liu, Zhuoshi Pan, Qizhi Pei, Xiaoran Shang, Mengyuan Sun, Zinan Tang, Xiaoyang Wang, Zhanping Zhong, Yun Zhu, Dahua Lin, Conghui He, Lijun Wu

CoRR, December, 2025

Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning.

Honglin Lin, Qizhi Pei, Xin Gao, Zhuoshi Pan, Yu Li, Juntao Li, Conghui He, Lijun Wu

CoRR, October, 2025

ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning.

Qizhi Pei, Zhuoshi Pan, Honglin Lin, Xin Gao, Yu Li, Zinan Tang, Conghui He, Rui Yan, Lijun Wu

CoRR, September, 2025

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning.

Yu Li, Zhuoshi Pan, Honglin Lin, Mengyuan Sun, Conghui He, Lijun Wu

CoRR, July, 2025

CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges.

Yu Li, Qizhi Pei, Mengyuan Sun, Honglin Lin, Chenlin Ming, Xin Gao, Jiang Wu, Conghui He, Lijun Wu

CoRR, April, 2025

A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis.

Xin Gao, Qizhi Pei, Zinan Tang, Yu Li, Honglin Lin, Jiang Wu, Lijun Wu, Conghui He

CoRR, April, 2025

MathFusion: Enhancing Mathematic Problem-solving of LLM through Instruction Fusion.

Qizhi Pei, Lijun Wu, Zhuoshi Pan, Yu Li, Honglin Lin, Chenlin Ming, Xin Gao, Conghui He, Rui Yan

CoRR, March, 2025

MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer.

Honglin Lin, Zhuoshi Pan, Yu Li, Qizhi Pei, Xin Gao, Mengzhang Cai, Conghui He, Lijun Wu

CoRR, March, 2025

LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models.

Junyan Ye, Baichuan Zhou, Zilong Huang, Junan Zhang, Tianyi Bai, Hengrui Kang, Jun He, Honglin Lin, Zihao Wang, Tong Wu, Zhizheng Wu, Yiping Chen, Dahua Lin, Conghui He, Weijia Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Where am I? Cross-View Geo-localization with Natural Language Descriptions.

Junyan Ye, Honglin Lin, Leyan Ou, Dairong Chen, Zihao Wang, Qi Zhu, Conghui He, Weijia Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer.

Honglin Lin, Zhuoshi Pan, Qizhi Pei, Xin Gao, Yu Li, Mengzhang Cai, Conghui He, Lijun Wu

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

MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion.

Qizhi Pei, Lijun Wu, Zhuoshi Pan, Yu Li, Honglin Lin, Chenlin Ming, Xin Gao, Conghui He, Rui Yan

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

LEMMA: Learning from Errors for MatheMatical Advancement in LLMs.

Zhuoshi Pan, Yu Li, Honglin Lin, Qizhi Pei, Zinan Tang, Wei Wu, Chenlin Ming, H. Vicky Zhao, Conghui He, Lijun Wu

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

A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis.

Xin Gao, Qizhi Pei, Zinan Tang, Yu Li, Honglin Lin, Jiang Wu, Lijun Wu, Conghui He

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

CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenge.

Yu Li, Qizhi Pei, Mengyuan Sun, Honglin Lin, Chenlin Ming, Xin Gao, Jiang Wu, Conghui He, Lijun Wu

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

2024

Where am I? Cross-View Geo-localization with Natural Language Descriptions.

Junyan Ye, Honglin Lin, Leyan Ou, Dairong Chen, Zihao Wang, Conghui He, Weijia Li

CoRR, 2024

ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions.

Honglin Lin, Siyu Li, Guoshun Nan, Chaoyue Tang, Xueting Wang, Jingxin Xu, Yankai Rong, Zhili Zhou, Yutong Gao, Qimei Cui, Xiaofeng Tao

CoRR, 2024

ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions.

Honglin Lin, Siyu Li, Guoshun Nan, Chaoyue Tang, Xueting Wang, Jingxin Xu, Yankai Rong, Zhouzhili Zhouzhili, Yutong Gao, Qimei Cui, Xiaofeng Tao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Correlation-based and content-enhanced network for video style transfer.

Honglin Lin, Mengmeng Wang, Yong Liu, Jiaxin Kou

Pattern Anal. Appl., February, 2023

AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer.

Tianwei Lin, Honglin Lin, Fu Li, Dongliang He, Wenhao Wu, Meiling Wang, Xin Li, Yong Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-realistic Style Transfer.

Tianwei Lin, Honglin Lin, Fu Li, Dongliang He, Wenhao Wu, Meiling Wang, Xin Li, Yong Liu

CoRR, 2022