🔗 Who cites «Large Language Model Instruction Following: A Survey of Progresses and Challenges»

27 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «Large Language Model Instruction Following: A Survey of Progresses and Challenges»

1. Unveiling Language-Specific Features in Large Language Models via Sparse AutoencodersAnnual Meeting of the Association for Computational Linguistics (ACL)Boyi Deng, Yu Wan, Baosong Yang, et al.2025 · 18 citations
2. OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic CodingAnnual Meeting of the Association for Computational Linguistics (ACL)Deming Ding, Shichun Liu, Enhui Yang, et al.2026 · 4 citations
3. MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Huang, Jiaheng Liu, Yancheng He, et al.2025 · 4 citations
4. IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Bosi Wen, Yilin Niu, Cunxiang Wang, et al.2026 · 1 citation
5. Seals-NLP at SemEval-2026 Task 9: A Comparative Study of Transformer Architectures for Polarization DetectionInternational Workshop on Semantic Evaluation (SemEval)Minh Smith, Cheryl Seals2026 · 1 citation
6. Mapping the Course for Prompt-based Structured PredictionConference of the European Chapter of the Association for Computational Linguistics (EACL)Matt Pauk, Maria Leonor Pacheco2026
7. PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Rongchuan Mu, Zexin Wang, Qianyu Wang, et al.2026

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

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