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Prefill Claude’s response for greater output control. Anthropic (2025) |
Raw: 4. Anthropic: Prefill Claude’s response for greater output control. https:// web.archive.org/web/20250221204158/https://docs.anthropic.com/en/docs/12AuthorsSuppressedDue
Match: Prefill Claude’s response for greater output control
Venue: Anthropic Documentation DOI: ISBN: URL: https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/prefill-claudes-response
The citation identifies a real Anthropic documentation page. However, the provided URL was broken due to an apparent copy-paste or extraction error (the string '12AuthorsSuppressedDuetoExcessiveLength' was inserted into the URL path). The intended URL is provided.
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Guard: Role-playing to generate natural-language jailbreakings to test guideline adherence of large language models. Jin, H.; Chen, R.; Zhou, A.; Zhang, Y.; Wang, H. (2024) arXiv |
Raw: 15. Jin, H., Chen, R., Zhou, A., Zhang, Y., Wang, H.: Guard: Role-playing to generate natural-language jailbreakings to test guideline adherence of large language models. arXiv preprint arXiv:2402.03299 (2024)
Match: GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models
Venue: arXiv DOI: 10.48550/arXiv.2402.03299 ISBN: URL: https://arxiv.org/abs/2402.03299
CrossRef arxiv_static matches title/DOI (score: 1.00), but cited author identities disagree with the official list. Unmatched cited author(s): Zhang, Y.. Official authors: Haibo Jin, Ruoxi Chen, Peiyan Zhang, Andy Zhou, Haohan Wang.
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Gpt-4 technical report Achiam, J.; Adler, S.; Agarwal, S.; Ahmad, L.; Akkaya, I.; Aleman, F.L.; Almeida, D.; Altenschmidt, J.; Altman, S.; Anadkat, S.; et al. (2023) arXiv |
Raw: 1. Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F.L., Almeida, D., Altenschmidt, J., Altman, S., Anadkat, S., et al.: Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)
Match: GPT-4 Technical Report
Venue: arXiv DOI: 10.48550/arXiv.2303.08774 ISBN: URL: https://arxiv.org/abs/2303.08774
Verified via arXiv id 2303.08774.
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Sarathi: Efficient llm inference by piggybacking decodes with chunked prefills. Agrawal, A.; Panwar, A.; Mohan, J.; Kwatra, N.; Gulavani, B.S.; Ramjee, R. (2023) arXiv |
Raw: 2. Agrawal, A., Panwar, A., Mohan, J., Kwatra, N., Gulavani, B.S., Ramjee, R.: Sarathi: Efficient llm inference by piggybacking decodes with chunked prefills. arXiv preprint arXiv:2308.16369 (2023)
Match: SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
Venue: arXiv DOI: 10.48550/arXiv.2308.16369 ISBN: URL: https://arxiv.org/abs/2308.16369
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Claude 3.7 sonnet system card Anthropic (2025) Anthropic |
Raw: 3. Anthropic: Claude 3.7 sonnet system card. System card, Anthropic (2025), https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf
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Jailbreaking black box large language models in twenty queries. Chao, P.; Robey, A.; Dobriban, E.; Hassani, H.; Pappas, G.J.; Wong, E. (2023) arXiv |
Raw: 5. Chao, P., Robey, A., Dobriban, E., Hassani, H., Pappas, G.J., Wong, E.: Jailbreaking black box large language models in twenty queries. arXiv preprint arXiv:2310.08419 (2023)
Match: Jailbreaking Black Box Large Language Models in Twenty Queries
Venue: arXiv DOI: 10.48550/arXiv.2310.08419 ISBN: URL: https://arxiv.org/abs/2310.08419
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The sifo benchmark: Investigating the sequential instruction following ability of large language models. Chen, X.; Liao, B.; Qi, J.; Eustratiadis, P.; Monz, C.; Bisazza, A.; de Rijke, M. (2024) arXiv |
Raw: 7. Chen, X., Liao, B., Qi, J., Eustratiadis, P., Monz, C., Bisazza, A., de Rijke, M.: The sifo benchmark: Investigating the sequential instruction following ability of large language models. arXiv preprint arXiv:2406.19999 (2024)
Match: The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
Venue: Findings of the Association for Computational Linguistics: EMNLP 2024 DOI: 10.18653/v1/2024.findings-emnlp.92 ISBN: URL: https://doi.org/10.18653/v1/2024.findings-emnlp.92
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Chat Prefix Completion (Beta). DeepSeek (2025) |
Raw: 8. DeepSeek: Chat Prefix Completion (Beta). https://web.archive.org/web
Match: Chat Prefix Completion (Beta)
Venue: DeepSeek API Documentation DOI: ISBN: URL: https://api-docs.deepseek.com/guides/chat_prefix_completion
The citation references a real, identifiable technical guide from DeepSeek's official documentation.
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Masterkey: Automated jailbreaking of large language model chatbots. Deng, G.; Liu, Y.; Li, Y.; Wang, K.; Zhang, Y.; Li, Z.; Wang, H.; Zhang, T.; Liu, Y. (2024) NDSS |
Raw: 9. Deng, G., Liu, Y., Li, Y., Wang, K., Zhang, Y., Li, Z., Wang, H., Zhang, T., Liu, Y.: Masterkey: Automated jailbreaking of large language model chatbots. In: NDSS (2024)
Match: MASTERKEY: Automated Jailbreaking of Large Language Model Chatbots
Venue: Proceedings 2024 Network and Distributed System Security Symposium DOI: 10.14722/ndss.2024.24188 ISBN: URL: https://doi.org/10.14722/ndss.2024.24188
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A wolf in sheep’s clothing: Generalized nested jailbreak prompts can fool large language models easily. Ding, P.; Kuang, J.; Ma, D.; Cao, X.; Xian, Y.; Chen, J.; Huang, S. (2023) arXiv |
Raw: 10. Ding, P., Kuang, J., Ma, D., Cao, X., Xian, Y., Chen, J., Huang, S.: A wolf in sheep’s clothing: Generalized nested jailbreak prompts can fool large language models easily. arXiv preprint arXiv:2311.08268 (2023)
Match: A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily
Venue: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) DOI: 10.18653/v1/2024.naacl-long.118 ISBN: URL: https://doi.org/10.18653/v1/2024.naacl-long.118
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Do llms" know" internally when they follow instructions? Heo, J.; Heinze-Deml, C.; Elachqar, O.; Ren, S.; Nallasamy, U.; Miller, A.; Chan, K.H.R.; Narain, J. (2024) arXiv |
Raw: 11. Heo, J., Heinze-Deml, C., Elachqar, O., Ren, S., Nallasamy, U., Miller, A., Chan, K.H.R., Narain, J.: Do llms" know" internally when they follow instructions? arXiv preprint arXiv:2410.14516 (2024)
Match: Do LLMs "know" internally when they follow instructions?
Venue: arXiv DOI: 10.48550/arXiv.2410.14516 ISBN: URL: https://arxiv.org/abs/2410.14516
Verified via arXiv id 2410.14516.
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Efficient llm jailbreak via adaptive dense-to-sparse constrained optimization. Hu, K.; Yu, W.; Li, Y.; Yao, T.; Li, X.; Liu, W.; Yu, L.; Shen, Z.; Chen, K.; Fredrikson, M. (2024) Advances in Neural Information Processing Systems |
Raw: 12. Hu, K., Yu, W., Li, Y., Yao, T., Li, X., Liu, W., Yu, L., Shen, Z., Chen, K., Fredrikson, M.: Efficient llm jailbreak via adaptive dense-to-sparse constrained optimization. Advances in Neural Information Processing Systems 37, 23224-23245 (2024)
Match: Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
Venue: Advances in Neural Information Processing Systems 37 DOI: 10.52202/079017-0731 ISBN: URL: https://doi.org/10.52202/079017-0731
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Artprompt: Ascii art-based jailbreak attacks against aligned llms. Jiang, F.; Xu, Z.; Niu, L.; Xiang, Z.; Ramasubramanian, B.; Li, B.; Poovendran, R. (2024) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) |
Raw: 13. Jiang, F., Xu, Z., Niu, L., Xiang, Z., Ramasubramanian, B., Li, B., Poovendran, R.: Artprompt: Ascii art-based jailbreak attacks against aligned llms. In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). pp. 15157-15173 (2024)
Match: ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs
Venue: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) DOI: 10.18653/v1/2024.acl-long.809 ISBN: URL: https://doi.org/10.18653/v1/2024.acl-long.809
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Followbench: A multi-level fine-grained constraints following benchmark for large language models. Jiang, Y.; Wang, Y.; Zeng, X.; Zhong, W.; Li, L.; Mi, F.; Shang, L.; Jiang, X.; Liu, Q.; Wang, W. (2023) arXiv |
Raw: 14. Jiang, Y., Wang, Y., Zeng, X., Zhong, W., Li, L., Mi, F., Shang, L., Jiang, X., Liu, Q., Wang, W.: Followbench: A multi-level fine-grained constraints following benchmark for large language models. arXiv preprint arXiv:2310.20410 (2023)
Match: FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
Venue: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) DOI: 10.18653/v1/2024.acl-long.257 ISBN: URL: https://doi.org/10.18653/v1/2024.acl-long.257
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Exploiting programmatic behavior of llms: Dual-use through standard security attacks. Kang, D.; Li, X.; Stoica, I.; Guestrin, C.; Zaharia, M.; Hashimoto, T. (2024) IEEE |
Raw: 16. Kang, D., Li, X., Stoica, I., Guestrin, C., Zaharia, M., Hashimoto, T.: Exploiting programmatic behavior of llms: Dual-use through standard security attacks. In: 2024 IEEE Security and Privacy Workshops (SPW). pp. 132-143. IEEE (2024)
Match: Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks
Venue: 2024 IEEE Security and Privacy Workshops (SPW) DOI: 10.1109/spw63631.2024.00018 ISBN: URL: https://doi.org/10.1109/spw63631.2024.00018
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False sense of security: A study on the effectivity of jailbreak detection in banking apps. Kellner, A.; Horlboge, M.; Rieck, K.; Wressnegger, C. (2019) IEEE |
Raw: 17. Kellner, A., Horlboge, M., Rieck, K., Wressnegger, C.: False sense of security: A study on the effectivity of jailbreak detection in banking apps. In: 2019 IEEE European Symposium on Security and Privacy (EuroS&P). pp. 1-14. IEEE (2019)
Match: False Sense of Security: A Study on the Effectivity of Jailbreak Detection in Banking Apps
Venue: 2019 IEEE European Symposium on Security and Privacy (EuroS&P) DOI: 10.1109/eurosp.2019.00011 ISBN: URL: https://doi.org/10.1109/eurosp.2019.00011
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Multi-step jailbreaking privacy attacks on chatgpt. Li, H.; Guo, D.; Fan, W.; Xu, M.; Huang, J.; Meng, F.; Song, Y. (2023) arXiv |
Raw: 18. Li, H., Guo, D., Fan, W., Xu, M., Huang, J., Meng, F., Song, Y.: Multi-step jailbreaking privacy attacks on chatgpt. arXiv preprint arXiv:2304.05197 (2023)
Match: Multi-step Jailbreaking Privacy Attacks on ChatGPT
Venue: Findings of the Association for Computational Linguistics: EMNLP 2023 DOI: 10.18653/v1/2023.findings-emnlp.272 ISBN: URL: https://doi.org/10.18653/v1/2023.findings-emnlp.272
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Deepseek-v3 technical report. Liu, A.; Feng, B.; Xue, B.; Wang, B.; Wu, B.; Lu, C.; Zhao, C.; Deng, C.; Zhang, C.; Ruan, C.; et al. (2024) arXiv |
Raw: 19. Liu, A., Feng, B., Xue, B., Wang, B., Wu, B., Lu, C., Zhao, C., Deng, C., Zhang, C., Ruan, C., et al.: Deepseek-v3 technical report. arXiv preprint arXiv:2412.19437 (2024)
Match: DeepSeek-V3 Technical Report
Venue: arXiv DOI: 10.48550/arXiv.2412.19437 ISBN: URL: https://arxiv.org/abs/2412.19437
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Chatcounselor: A large language models for mental health support. Liu, J.M.; Li, D.; Cao, H.; Ren, T.; Liao, Z.; Wu, J. (2023) arXiv |
Raw: 20. Liu, J.M., Li, D., Cao, H., Ren, T., Liao, Z., Wu, J.: Chatcounselor: A large language models for mental health support. arXiv preprint arXiv:2309.15461 (2023)
Match: ChatCounselor: A Large Language Models for Mental Health Support
Venue: arXiv DOI: 10.48550/arXiv.2309.15461 ISBN: URL: https://arxiv.org/abs/2309.15461
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Autodan: Generating stealthy jailbreak prompts on aligned large language models. Liu, X.; Xu, N.; Chen, M.; Xiao, C. (2023) arXiv |
Raw: 21. Liu, X., Xu, N., Chen, M., Xiao, C.: Autodan: Generating stealthy jailbreak prompts on aligned large language models. arXiv preprint arXiv:2310.04451 (2023)
Match: AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
Venue: arXiv DOI: 10.48550/arXiv.2310.04451 ISBN: URL: https://arxiv.org/abs/2310.04451
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Flipattack: Jailbreak llms via flipping. Liu, Y.; He, X.; Xiong, M.; Fu, J.; Deng, S.; Hooi, B. (2024) arXiv |
Raw: 22. Liu, Y., He, X., Xiong, M., Fu, J., Deng, S., Hooi, B.: Flipattack: Jailbreak llms via flipping. arXiv preprint arXiv:2410.02832 (2024)
Match: FlipAttack: Jailbreak LLMs via Flipping
Venue: arXiv DOI: 10.48550/arXiv.2410.02832 ISBN: URL: https://arxiv.org/abs/2410.02832
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Autoregressive text generation beyond feedback loops Schmidt, F.; Mandt, S.; Hofmann, T. (2019) arXiv |
Raw: 23. Schmidt, F., Mandt, S., Hofmann, T.: Autoregressive text generation beyond feedback loops. arXiv preprint arXiv:1908.11658 (2019)
Match: Autoregressive Text Generation Beyond Feedback Loops
Venue: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) DOI: 10.18653/v1/d19-1338 ISBN: URL: https://doi.org/10.18653/v1/d19-1338
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Scalable and transferable black-box jailbreaks for language models via persona modulation Shah, R.; Pour, S.; Tagade, A.; Casper, S.; Rando, J.; et al. (2023) arXiv |
Raw: 24. Shah, R., Pour, S., Tagade, A., Casper, S., Rando, J., et al.: Scalable and transferable black-box jailbreaks for language models via persona modulation. arXiv preprint arXiv:2311.03348 (2023)
Match: Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation
Venue: arXiv DOI: 10.48550/arXiv.2311.03348 ISBN: URL: https://arxiv.org/abs/2311.03348
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Multilingual instruction tuning with just a pinch of multilinguality Shaham, U.; Herzig, J.; Aharoni, R.; Szpektor, I.; Tsarfaty, R.; Eyal, M. (2024) arXiv |
Raw: 25. Shaham, U., Herzig, J., Aharoni, R., Szpektor, I., Tsarfaty, R., Eyal, M.: Multilingual instruction tuning with just a pinch of multilinguality. arXiv preprint arXiv:2401.01854 (2024)
Match: Multilingual Instruction Tuning With Just a Pinch of Multilinguality
Venue: Findings of the Association for Computational Linguistics ACL 2024 DOI: 10.18653/v1/2024.findings-acl.136 ISBN: URL: https://doi.org/10.18653/v1/2024.findings-acl.136
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" do anything now": Characterizing and evaluating in-the-wild jailbreak prompts on large language models. Shen, X.; Chen, Z.; Backes, M.; Shen, Y.; Zhang, Y. (2024) Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security |
Raw: 26. Shen, X., Chen, Z., Backes, M., Shen, Y., Zhang, Y.: " do anything now": Characterizing and evaluating in-the-wild jailbreak prompts on large language models. In: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security. pp. 1671-1685 (2024)
Match: "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
Venue: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security DOI: 10.1145/3658644.3670388 ISBN: URL: https://doi.org/10.1145/3658644.3670388
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None user4262 (2022) |
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Fundamental limitations of alignment in large language models Wolf, Y.; Wies, N.; Avnery, O.; Levine, Y.; Shashua, A. (2023) arXiv |
Raw: 28. Wolf, Y., Wies, N., Avnery, O., Levine, Y., Shashua, A.: Fundamental limitations of alignment in large language models. arXiv preprint arXiv:2304.11082 (2023)
Match: Fundamental Limitations of Alignment in Large Language Models
Venue: arXiv DOI: 10.48550/arXiv.2304.11082 ISBN: URL: https://arxiv.org/abs/2304.11082
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A systematic study of cross-layer kv sharing for efficient llm inference Wu, Y.; Wu, H.; Tu, K. (2024) arXiv |
Raw: 29. Wu, Y., Wu, H., Tu, K.: A systematic study of cross-layer kv sharing for efficient llm inference. arXiv preprint arXiv:2410.14442 (2024)
Match: A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference
Venue: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) DOI: 10.18653/v1/2025.naacl-short.34 ISBN: URL: https://doi.org/10.18653/v1/2025.naacl-short.34
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Don’t listen to me: Understanding and exploring jailbreak prompts of large language models Yu, Z.; Liu, X.; Liang, S.; Cameron, Z.; Xiao, C.; Zhang, N. (2024) USENIX Association |
Raw: 30. Yu, Z., Liu, X., Liang, S., Cameron, Z., Xiao, C., Zhang, N.: Don’t listen to me: Understanding and exploring jailbreak prompts of large language models. In: 33rd USENIX Security Symposium (USENIX Security 24). pp. 4675-4692. USENIX Association, Philadelphia, PA (Aug 2024)
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Prepacking: A simple method for fast prefilling and increased throughput in large language models Zhao, S.; Israel, D.; Broeck, G.V.d.; Grover, A. (2024) arXiv |
Raw: 31. Zhao, S., Israel, D., Broeck, G.V.d., Grover, A.: Prepacking: A simple method for fast prefilling and increased throughput in large language models. arXiv preprint arXiv:2404.09529 (2024)
Match: Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
Venue: arXiv DOI: 10.48550/arXiv.2404.09529 ISBN: URL: https://arxiv.org/abs/2404.09529
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Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x Zheng, Q.; Xia, X.; Zou, X.; Dong, Y.; Wang, S.; Xue, Y.; Shen, L.; Wang, Z.; Wang, A.; Li, Y.; et al. (2023) ACM |
Raw: 32. Zheng, Q., Xia, X., Zou, X., Dong, Y., Wang, S., Xue, Y., Shen, L., Wang, Z., Wang, A., Li, Y., et al.: Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x. In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. pp. 5673-5684 (2023)
Match: CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
Venue: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining DOI: 10.1145/3580305.3599790 ISBN: URL: https://doi.org/10.1145/3580305.3599790
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Universal and transferable adversarial attacks on aligned language models Zou, A.; Wang, Z.; Carlini, N.; Nasr, M.; Kolter, J.Z.; Fredrikson, M. (2023) arXiv |
Raw: 33. Zou, A., Wang, Z., Carlini, N., Nasr, M., Kolter, J.Z., Fredrikson, M.: Universal and transferable adversarial attacks on aligned language models. arXiv preprint arXiv:2307.15043 (2023)
Match: Universal and Transferable Adversarial Attacks on Aligned Language Models
Venue: arXiv DOI: 10.48550/arXiv.2307.15043 ISBN: URL: https://arxiv.org/abs/2307.15043
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