Why Machine Reading Comprehension Models Learn Shortcuts? - Yuxuan Lai; Chen Zhang 019; Yansong Feng 002; Quzhe Huang; Dongyan Zhao 001 (ACL/IJCNLP (Findings), 2021)

Extract, Integrate, Compete: Towards Verification Style Reading Comprehension. - Chen Zhang 019; Yuxuan Lai; Yansong Feng 002; Dongyan Zhao 001 (EMNLP (Findings), 2021)

A review of deep learning in question answering over knowledge bases. - Chen Zhang 019; Yuxuan Lai; Yansong Feng 002; Dongyan Zhao 001 (AI Open, 2021)

Knowledge-Enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering. - Haowei Du; Quzhe Huang; Chen Zhang 019; Dongyan Zhao 001 (NLPCC (1), 2022)

The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code. - Xiao Liu 032; Da Yin; Chen Zhang 019; Yansong Feng 002; Dongyan Zhao 001 (ACL (Findings), 2023)

How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension. - Chen Zhang 019; Jiuheng Lin; Xiao Liu 032; Yuxuan Lai; Yansong Feng 002; Dongyan Zhao 001 (ACL (Findings), 2023)

UnifEE: Unified Evidence Extraction for Fact Verification. - Nan Hu; Zirui Wu; Yuxuan Lai; Chen Zhang 019; Yansong Feng 002 (EACL, 2023)

Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension. - Chen Zhang 019; Yuxuan Lai; Yansong Feng 002; Xingyu Shen; Haowei Du; Dongyan Zhao 001 (EACL (Findings), 2023)

Relation-Aware Question Answering for Heterogeneous Knowledge Graphs. - Haowei Du; Quzhe Huang; Chen Li; Chen Zhang 019; Yang Li; Dongyan Zhao 001 (EMNLP (Findings), 2023)

Lawyer LLaMA Technical Report. - Quzhe Huang; Mingxu Tao; Zhenwei An; Chen Zhang 019; Cong Jiang; Zhibin Chen; Zirui Wu; Yansong Feng 002 (CoRR, 2023)

MC^2: A Multilingual Corpus of Minority Languages in China. - Chen Zhang 019; Mingxu Tao; Quzhe Huang; Jiuheng Lin; Zhibin Chen; Yansong Feng 002 (CoRR, 2023)

Teaching Large Language Models an Unseen Language on the Fly. - Chen Zhang 019; Xiao Liu 032; Jiuheng Lin; Yansong Feng 002 (ACL (Findings), 2024)

Harder Task Needs More Experts: Dynamic Routing in MoE Models. - Quzhe Huang; Zhenwei An; Nan Zhuang; Mingxu Tao; Chen Zhang 019; Yang Jin; Kun Xu 005; Liwei Chen; Songfang Huang; Yansong Feng 002 (ACL (1), 2024)

MC²: Towards Transparent and Culturally-Aware NLP for Minority Languages in China. - Chen Zhang 019; Mingxu Tao; Quzhe Huang; Jiuheng Lin; Zhibin Chen; Yansong Feng 002 (ACL (1), 2024)

Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding? - Yutong Hu 002; Quzhe Huang; Mingxu Tao; Chen Zhang 019; Yansong Feng 002 (Tiny Papers @ ICLR, 2024)

Can LLMs Learn a New Language on the Fly? A Case Study on Zhuang. - Chen Zhang 019; Mingxu Tao; Quzhe Huang; Zhibin Chen; Yansong Feng 002 (Tiny Papers @ ICLR, 2024)

Harder Tasks Need More Experts: Dynamic Routing in MoE Models. - Quzhe Huang; Zhenwei An; Nan Zhuang; Mingxu Tao; Chen Zhang 019; Yang Jin; Kun Xu 005; Liwei Chen; Songfang Huang; Yansong Feng 002 (CoRR, 2024)

Unlocking the Potential of Model Merging for Low-Resource Languages. - Mingxu Tao; Chen Zhang 019; Quzhe Huang; Tianyao Ma; Songfang Huang; Dongyan Zhao 001; Yansong Feng 002 (CoRR, 2024)

MiLiC-Eval: Benchmarking Multilingual LLMs for China's Minority Languages. - Chen Zhang 019; Mingxu Tao; Zhiyuan Liao; Yansong Feng 002 (ACL (Findings), 2025)