🔗 Who cites «Understanding Catastrophic Forgetting in Language Models via Implicit Inference»

41 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 «Understanding Catastrophic Forgetting in Language Models via Implicit Inference»

1. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
2. MLLM-Protector: Ensuring MLLM's Safety without Hurting PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Renjie Pi, Tianyang Han, Jianshu Zhang, et al.2024 · 58 citations
3. Multi-Attribute Steering of Language Models via Targeted InterventionAnnual Meeting of the Association for Computational Linguistics (ACL)Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.2025 · 11 citations
4. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
5. RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking ServicesAnnual Meeting of the Association for Computational Linguistics (ACL)Fei zhao, Chonggang Lu, Haofu Qian, et al.2026 · 2 citations
6. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
7. Decoupling Generalization and Adaptation in Meta-Learning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitin Vetcha, Binqian Xu, Dianbo Liu2026

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

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