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Yubo Chen
Institutions:
Minzu University of China,
Chinese Academy of Sciences,
Institute of Automation,
University of Chinese Academy of Sciences
Observed institutions:
Minzu University of China,
Chinese Academy of Sciences,
Institute of Automation,
University of Chinese Academy of Sciences
ORCID:
0000-0002-5485-9916
Observed ORCID:
0000-0002-5485-9916
OpenAlex ID:
A5139717762
One mind, many tongues: A deep dive into language-agnostic knowledge neurons in large language models
2026
·
Pengfei Cao
, Yuheng Chen
, et al.
·
Artificial Intelligence
·
2
PDF
Legal-AP: A Framework to Enhance LLM’s Legal Reasoning via Knowledge Augmentation and Adapter-Wise Parametric Fusion
2026
·
Ao Chang
, Yubo Chen
, et al.
·
Lecture notes in computer science
MAEPS: Multi-agent Event Prediction System Based on Human Expert Team Collaboration Simulation
2026
·
Chengyuan Jin
, Tong Zhou
, et al.
·
Communications in computer and information science
Towards Explainable Diagnosis: A Self-learned Explanatory Knowledge Base Approach
2026
·
Dongqi Huang
, Tong Zhou
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
2026
·
Zhuoran Jin
, Kejian Zhu
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning
2026
·
Tianyi Men
, Zhuoran Jin
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
LANTERN in the Event Stream: Training-Free Temporal Knowledge Graph Forecasting by Balancing Inertia and Shifts
2026
·
Chengyuan Jin
, Ao Chang
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models
2026
·
Pengfei Cao
, Mingxuan Yang
, et al.
·
International Workshop on Semantic Evaluation (SemEval)
PDF
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Works count:
8
Citation count:
2
H-index:
1
I10-index:
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