🧑‍🔬 Who cites Tinne Tuytelaars

262 citations of their works from 233 papers of our library (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← Tinne Tuytelaars

1. Learning multiple visual domains with residual adaptersarXiv:1705.08045Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi2017 · 694 citations
2. Transferable Multi-Domain State Generator for Task-Oriented Dialogue SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, et al.2019 · 628 citations
3. MoEL: Mixture of Empathetic ListenersConference on Empirical Methods in Natural Language Processing (EMNLP)Zhaojiang Lin, Andrea Madotto, Jamin Shin, et al.2019 · 301 citations
4. The Curse of Recursion: Training on Generated Data Makes Models ForgetarXiv:2305.17493Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.2023 · 255 citations
5. Continual Relation Learning via Episodic Memory Activation and ReconsolidationAnnual Meeting of the Association for Computational Linguistics (ACL)Xu Han, Yi Dai, Tianyu Gao, et al.2020 · 152 citations
6. Mitigating the Alignment Tax of RLHFConference on Empirical Methods in Natural Language Processing (EMNLP)Yong Lin, Hangyu Lin, Wei Xiong, et al.2024 · 83 citations
7. Self-Distillation Bridges Distribution Gap in Language Model Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaorui Yang, Tianyu Pang, Haozhe Feng, et al.2024 · 63 citations
8. InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction TuningarXiv:2305.13627Samuel Cahyawijaya, Holy Lovenia, Tiezheng Yu, et al.2023 · 22 citations
9. Investigating Forgetting in Pre-Trained Representations Through Continual LearningarXiv:2305.05968Yun Luo, Zhen Yang, Xuefeng Bai, et al.2023 · 10 citations
10. Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific NeuronsInternational Conference on Computational Linguistics (COLING)Yongqi Leng, Deyi Xiong2025 · 9 citations
11. Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Zixin Chen, Sicheng Song, KaShun Shum, et al.2025 · 9 citations
12. Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.2026 · 3 citations
13. Is this chart lying to me? Automating the detection of misleading visualizationsAnnual Meeting of the Association for Computational Linguistics (ACL)Jonathan Tonglet, Jan Zimny, Tinne Tuytelaars, et al.2026 · 1 citation
14. Sparse Adapter Fusion for Continual Learning in NLPConference of the European Chapter of the Association for Computational Linguistics (EACL)Min Zeng, Xi Chen, Haiqin Yang, et al.2026 · 1 citation
15. Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning ModelsFindings of the Association for Computational LinguisticsHoang Phan, Xianjun Yang, Yuanshun Yao, et al.2026

218 more citing papers of our library have no page here yet.

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