🔗 Who cites «Instruction Pre-Training: Language Models are Supervised Multitask Learners»

40 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «Instruction Pre-Training: Language Models are Supervised Multitask Learners»

1. Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Su, Kezhi Kong, Ying Lin, et al.2025 · 65 citations
2. Time-MQA: Time Series Multi-Task Question Answering with Context EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, et al.2025 · 21 citations
3. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
4. Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras2026 · 1 citation
5. FinCall-Surprise: A Large Scale Multi-modal Benchmark for Earning Surprise PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Dong Shu, Yanguang Liu, Huopu Zhang, et al.2026 · 1 citation
6. Tracing Multilingual Knowledge Acquisition Dynamics in Domain Adaptation: A Case Study of Biomedical AdaptationConference of the European Chapter of the Association for Computational Linguistics (EACL)Xin Zhao, Naoki Yoshinaga, Yuma Tsuta, et al.2026 · 1 citation
7. Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and BottlenecksConference of the European Chapter of the Association for Computational Linguistics (EACL)Masaya Tsunokake, Yuta Koreeda, Terufumi Morishita, et al.2026
8. Large-Scale Diverse Synthesis for Mid-TrainingFindings of the Association for Computational LinguisticsXuemiao Zhang, Chengying Tu, Can Ren, et al.2026
9. LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge PointsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuemiao Zhang, Can Ren, Chengying Tu, et al.2026
10. Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in FinanceLanguage Resources and Evaluation Conference (LREC)Kentaro Ueda, François Portet, Hirohiko Suwa, et al.2026
11. PropGenie: A Multi-Agent Conversational Framework for Real Estate AssistanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Chang Shen, Shaozu Yuan, Kuizong Wu, et al.2026
12. RADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijie Tan, Xu Chu, Guanyu Wang, et al.2026
13. Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-TrainingarXiv:2608.30609Lukas Borggren, Jenny Kunz, Marco Kuhlmann2026

27 more papers of our library cite it; they have no page here yet.

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