Deep Mask Memory Network with Semantic Dependency and Context Moment for Aspect Level Sentiment Classification. - Peiqin Lin; Meng Yang 001; Jianhuang Lai (IJCAI, 2019)

Hierarchical Attention Network with Pairwise Loss for Chinese Zero Pronoun Resolution. - Peiqin Lin; Meng Yang 001 (AAAI, 2020)

A Shared-Private Representation Model with Coarse-to-Fine Extraction for Target Sentiment Analysis. - Peiqin Lin; Meng Yang 001 (EMNLP (Findings), 2020)

Lightweight Multiple Perspective Fusion with Information Enriching for BERT-Based Answer Selection. - Yu Gu; Meng Yang 001; Peiqin Lin (NLPCC (1), 2020)

A Hierarchical Inter-Clause Interaction Network for Emotion Cause Extraction. - Peiqin Lin; Meng Yang 001; Yu Gu (IJCNN, 2021)

Utilization of Question Categories in Multi-Document Machine Reading Comprehension. - Shaomin Zheng; Meng Yang 001; Yongjie Huang; Peiqin Lin (IJCNN, 2021)

Empathetic Response Generation through Graph-based Multi-hop Reasoning on Emotional Causality. - Jiashuo Wang; Wenjie Li 002; Peiqin Lin; Feiteng Mu (Knowl. Based Syst., 2021)

Deep Selective Memory Network With Selective Attention and Inter-Aspect Modeling for Aspect Level Sentiment Classification. - Peiqin Lin; Meng Yang 001; Jianhuang Lai (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Modeling Content-Emotion Duality via Disentanglement for Empathetic Conversation. - Peiqin Lin; Jiashuo Wang; Hinrich Schütze; Wenjie Li 002 (CoRR, 2022)

Hierarchical Interactive Network for joint aspect extraction and sentiment classification. - Wei Chen; Peiqin Lin; Wanqi Zhang; Jinglong Du; Zhongshi He (Knowl. Based Syst., 2022)

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. - Ayyoob Imani; Peiqin Lin; Amir Hossein Kargaran; Silvia Severini; Masoud Jalili Sabet; Nora Kassner; Chunlan Ma; Helmut Schmid; André F. T. Martins; François Yvon; Hinrich Schütze (ACL (1), 2023)

mPLM-Sim: Unveiling Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models. - Peiqin Lin; Chengzhi Hu; Zheyu Zhang 007; André F. T. Martins; Hinrich Schütze (CoRR, 2023)

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark. - Stephen Mayhew 002; Terra Blevins; Shuheng Liu 002; Marek Suppa; Hila Gonen; Joseph Marvin Imperial; Börje F. Karlsson; Peiqin Lin; Nikola Ljubesic; LJ Miranda; Barbara Plank; Arij Riabi; et al. (CoRR, 2023)

mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models. - Peiqin Lin; Chengzhi Hu; Zheyu Zhang 007; André F. T. Martins; Hinrich Schütze (EACL (Findings), 2024)

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark. - Stephen Mayhew 002; Terra Blevins; Shuheng Liu 002; Marek Suppa; Hila Gonen; Joseph Marvin Imperial; Börje Karlsson 001; Peiqin Lin; Nikola Ljubesic; Lester James V. Miranda; Barbara Plank; Arij Riabi; et al. (NAACL-HLT, 2024)

OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining. - Yihong Liu 001; Peiqin Lin; Mingyang Wang 003; Hinrich Schütze (NAACL-HLT (Findings), 2024)

MaLA-500: Massive Language Adaptation of Large Language Models. - Peiqin Lin; Shaoxiong Ji; Jörg Tiedemann; André F. T. Martins; Hinrich Schütze (CoRR, 2024)

EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models. - Shaoxiong Ji; Zihao Li; Indraneil Paul; Jaakko Paavola; Peiqin Lin; Pinzhen Chen; Dayyán O'Brien; Hengyu Luo; Hinrich Schütze; Jörg Tiedemann; Barry Haddow (CoRR, 2024)

Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu. - Renhao Pei; Yihong Liu 001; Peiqin Lin; François Yvon; Hinrich Schütze (ACL (1), 2025)

XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples. - Peiqin Lin; André F. T. Martins; Hinrich Schütze (NAACL (Findings), 2025)

A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models. - Peiqin Lin; André F. T. Martins; Hinrich Schütze (NAACL (Findings), 2025)

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model. - Jiayang Yu; Yihang Zhang; Bin Wang; Peiqin Lin; Yongkang Liu; Shi Feng (NAACL (Long Papers), 2025)

SolEval: Benchmarking Large Language Models for Repository-level Solidity Code Generation. - Zhiyuan Peng; Xin Yin; Rui Qian; Peiqin Lin; Yongkang Liu; Chenhao Ying 001; Yuan Luo 003 (CoRR, 2025)

GlotEval: A Test Suite for Massively Multilingual Evaluation of Large Language Models. - Hengyu Luo; Zihao Li; Joseph Attieh; Sawal Devkota; Ona de Gibert; Shaoxiong Ji; Peiqin Lin; Bhavani Sai Praneeth Varma Mantina; Ananda Sreenidhi; Raúl Vázquez; Mengjie Wang; Samea Yusofi; et al. (CoRR, 2025)

Why Do More Experts Fail? A Theoretical Analysis of Model Merging. - Zijing Wang; Xingle Xu; Yongkang Liu 002; Yiqun Zhang; Peiqin Lin; Shi Feng 001; Xiaocui Yang; Daling Wang; Hinrich Schütze (CoRR, 2025)