Jie Zhou

Affiliations:
  • ModelBest Inc.
  • OpenBMB, MiniCPM-V Team (former)
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China (former)


According to our database1, Jie Zhou authored at least 23 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Omni-DuplexEval: Evaluating Real-time Duplex Omni-modal Interaction.
CoRR, May, 2026

MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction.
CoRR, April, 2026

FactNet: A Billion-Scale Knowledge Graph for Multilingual Factual Grounding.
CoRR, February, 2026

2025
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe.
CoRR, September, 2025

MiniCPM4: Ultra-Efficient LLMs on End Devices.
CoRR, June, 2025

Ultra-FineWeb: Efficient Data Filtering and Verification for High-Quality LLM Training Data.
CoRR, May, 2025

LLM×MapReduce-V3: Enabling Interactive In-Depth Survey Generation through a MCP-Driven Hierarchically Modular Agent System.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Densing Law of LLMs.
CoRR, 2024

MiniCPM-V: A GPT-4V Level MLLM on Your Phone.
CoRR, 2024

UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs.
CoRR, 2024

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.
CoRR, 2024

DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024

2023
WebCPM: Interactive Web Search for Chinese Long-form Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
BMInf: An Efficient Toolkit for Big Model Inference and Tuning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
Evaluating Modules in Graph Contrastive Learning.
CoRR, 2021

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Introduction to Graph Neural Networks
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01587-8, 2020

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion.
CoRR, 2020

Graph neural networks: A review of methods and applications.
AI Open, 2020

Adaptive Graph Encoder for Attributed Graph Embedding.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Graph Neural Networks: A Review of Methods and Applications.
CoRR, 2018


  Loading...