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Conghui He
Institution:
Shanghai Artificial Intelligence Laboratory
Observed institution:
Shanghai Artificial Intelligence Laboratory
ORCID:
0000-0001-8697-695X
Observed ORCID:
0000-0001-8697-695X
OpenAlex ID:
A5139736183
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
2026
·
Junbo Niu
, Zheng Liu
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
9
GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation
2025
·
Runchuan Zhu
, Xinke Jiang
, et al.
·
Findings of the Association for Computational Linguistics: NAACL
·
4
PDF
A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis
2025
·
Xin Gao
, Qizhi Pei
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
2
PDF
MoDora: A Multimodal Document AI Assistant Harness
2026
·
Yukai Wu
, Bangrui Xu
, et al.
·
Proceedings of the VLDB Endowment
Data-Efficient Online Training for Direct Alignment in LLMs
2026
·
Chi Zhang
, Jiacheng Wang
, et al.
·
Proceedings of the VLDB Endowment
From Factors to Methods: A Comprehensive Survey on Visual Instruction Tuning Data Selection
2026
·
Yun Zhu
, Xiaoran Shang
, et al.
PDF
Trustworthy Dataset Proof: Certifying the Authentic Use of Dataset in Training Models for Enhanced Trust
2026
·
Zekun Sun
, Liwei Liu
, et al.
·
IEEE Transactions on Information Forensics and Security
Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs
2026
·
Yu Li
, Xiaoran Shang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once
2026
·
Zhuoshi Pan
, Qizhi Pei
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
2026
·
Zheng Liu
, Honglin Lin
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
The Data Frontier for Large Language Models: Selection, Synthesis, and Tools
2026
·
Lijun Wu
, Wentao Zhang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
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Works count:
11
Citation count:
15
H-index:
2
I10-index:
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