Chen Zhang

Affiliations:
  • Peking University, Wangxuan Institute of Computer Technology, Beijing, China


According to our database1, Chen Zhang authored at least 18 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Unlocking the Potential of Model Merging for Low-Resource Languages.
CoRR, 2024

Harder Tasks Need More Experts: Dynamic Routing in MoE Models.
CoRR, 2024

Can LLMs Learn a New Language on the Fly? A Case Study on Zhuang.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

MC²: Towards Transparent and Culturally-Aware NLP for Minority Languages in China.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Harder Task Needs More Experts: Dynamic Routing in MoE Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Teaching Large Language Models an Unseen Language on the Fly.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
MC^2: A Multilingual Corpus of Minority Languages in China.
CoRR, 2023

Lawyer LLaMA Technical Report.
CoRR, 2023

Relation-Aware Question Answering for Heterogeneous Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

UnifEE: Unified Evidence Extraction for Fact Verification.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Knowledge-Enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

2021
A review of deep learning in question answering over knowledge bases.
AI Open, 2021

Extract, Integrate, Compete: Towards Verification Style Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Why Machine Reading Comprehension Models Learn Shortcuts?
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021


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