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Here are the URLs for the specified papers:

1. **Locating and editing factual associations in GPT**  

   Meng, K., Bau, D., Andonian, A. & Belinkov, Y. (2022).  

   [Link to Paper](https://proceedings.neurips.cc/paper_files/paper/2022/hash/6f1d43d5a82a37e89b0665b33bf3a182-Abstract-Conference.html)

2. **Mass-editing memory in a transformer**  

   Meng, K., Sharma, A. S., Andonian, A., Belinkov, Y. & Bau, D. (2023).  

   [Link to Paper](https://arxiv.org/abs/2210.07229)

3. **Memory-Based Model Editing at Scale**  

   Mitchell, E., Lin, C., Bosselut, A., Manning, C. D. & Finn, C. (2022).  

   [Link to Paper](https://proceedings.mlr.press/v162/mitchell22a.html)

4. **Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors**  

   Hartvigsen, T., Sankaranarayanan, S., Palangi, H., Kim, Y. & Ghassemi, M. (2023).  

   [Link to Paper](https://arxiv.org/abs/2211.11031)

5. **Fast model editing at scale**  

   Mitchell, E., Lin, C., Bosselut, A., Finn, C. & Manning, C. D. (2022).  

   [Link to Paper](https://arxiv.org/abs/2110.11309)

6. **Editable Neural Networks**  

   Sinitsin, A., Plokhotnyuk, V., Pyrkin, D., Popov, S. & Babenko, A. (2020).  

   [Link to Paper](http://arxiv.org/abs/2004.00345)

7. **Editing Factual Knowledge in Language Models**  

   De Cao, N., Aziz, W. & Titov, I. (2021).  

   [Link to Paper](http://arxiv.org/abs/2104.08164)

8. **MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions**  

   Zhong, Z., Wu, Z., Manning, C. D., Potts, C. & Chen, D. (2023).  

   [Link to Paper](http://arxiv.org/abs/2305.14795)

9. **Evaluating the ripple effects of knowledge editing in language models**  

   Cohen, R., Biran, E., Yoran, O., Globerson, A. & Geva, M. (2023).  

   [Link to Paper](https://transacl.org/ojs/index.php/tacl/article/view/3736)

10. **Language Models: Problems, Methods, and Opportunities**  

    (2023).  

    [Link to Paper](http://arxiv.org/abs/2305.13172)

11. **Fundamental problems with model editing: How should rational belief revision work in LLMs?**  

    Hase, P., Hofweber, T., Zhou, X., Stengel-Eskin, E. & Bansal, M. (2024).  

    [Link to Paper](https://scholar.google.com/citations?view_op=view_citation&hl=en&citation_for_view=FO90FgMAAAAAJ:M3ejUd6NZC8C)

12. **Can We Edit Multimodal Large Language Models?**  

    Cheng, S., Tian, B., Liu, Q., Chen, X., Wang, Y., Chen, H. & Zhang, N. (2023).  

    [Link to Paper](https://arxiv.org/abs/2305.14795)

Citations:

[1] https://proceedings.neurips.cc/paper_files/paper/2022/hash/6f1d43d5a82a37e89b