---
title: "Who cites Aounon Kumar"
description: "226 papers of the Elamur Research library cite the works of Aounon Kumar, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/aounon-kumar/cited-by/"
---
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# Who cites Aounon Kumar

228 citations of their works from 226 papers of our library (of the 140 884 whose bibliographies we read) · 21 with a page here, the most cited first · [← Aounon Kumar](https://md.research.elamur.ai/free/en/authors/aounon-kumar/)

- [Survey of Hallucination in Natural Language Generation](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/) — Ziwei Ji, Nayeon Lee, Rita Frieske, et al. · 2022 · 5 947 citations
- [A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-hallucination-large-language-models/) — Lei Huang, Weijiang Yu, Weitao Ma, et al. · 2023 · 3 221 citations
- [DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature](https://md.research.elamur.ai/free/en/papers/mitchell-2023-detectgpt-zero-shot-machine-generated/) — Eric Mitchell, Yoonho Lee, Alexander Khazatsky, et al. · 2023 · 474 citations
- [Security and Privacy Challenges of Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/das-2024-security-privacy-challenges-large-language/) — Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu · 2024 · 422 citations
- [Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense](https://md.research.elamur.ai/free/en/papers/krishna-2023-paraphrasing-evades-detectors-ai-generated/) — Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al. · 2023 · 304 citations
- [Challenges and Applications of Large Language Models](https://md.research.elamur.ai/free/en/papers/kaddour-2023-challenges-applications-large-language-models/) — Jean Kaddour, Joshua Harris, Maximilian Mozes, et al. · 2023 · 300 citations
- [A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions](https://md.research.elamur.ai/free/en/papers/wu-2025-survey-llm-generated-text-detection/) — Junchao Wu, Shu Yang, Runzhe Zhan, et al. · 2025 · 276 citations
- [JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models](https://md.research.elamur.ai/free/en/papers/chao-2024-jailbreakbench-open-robustness-benchmark-jailbreaking/) — Patrick Chao, Edoardo Debenedetti, Alexander Robey, et al. · 2024 · 273 citations
- [Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/) — Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al. · 2024 · 245 citations
- [TrustLLM: Trustworthiness in Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/) — Yue Huang, Lichao Sun, Haoran Wang, et al. · 2024 · 226 citations
- [How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2024-how-johnny-can-persuade-llms/) — Yi Zeng, Hongpeng Lin, Jingwen Zhang, et al. · 2024 · 202 citations
- [On the Risk of Misinformation Pollution with Large Language Models](https://md.research.elamur.ai/free/en/papers/pan-2023-risk-misinformation-pollution-large-language/) — Yikang Pan, Liangming Pan, Wenhu Chen, et al. · 2023 · 177 citations
- [DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text](https://md.research.elamur.ai/free/en/papers/su-2023-detectllm-leveraging-log-rank-information/) — Jinyan Su, Terry Zhuo, Di Wang, et al. · 2023 · 172 citations
- [SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks](https://md.research.elamur.ai/free/en/papers/robey-2023-smoothllm-defending-large-language-models/) — Alexander Robey, Eric Wong, Hamed Hassani, et al. · 2023 · 157 citations
- [Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature](https://md.research.elamur.ai/free/en/papers/bao-2023-fast-detectgpt-efficient-zero-shot/) — Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al. · 2023 · 146 citations
- [Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations](https://md.research.elamur.ai/free/en/papers/wei-2023-jailbreak-guard-aligned-language-models/) — Zeming Wei, Yifei Wang, Ang Li, et al. · 2023 · 125 citations
- [SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-salad-bench-hierarchical-comprehensive-safety/) — Lijun Li, Bowen Dong, Ruohui Wang, et al. · 2024 · 114 citations
- [GPT detectors are biased against non-native English writers](https://md.research.elamur.ai/free/en/papers/liang-2023-gpt-detectors-biased-against-non/) — Weixin Liang, Mert Yuksekgonul, Yining Mao, et al. · 2023 · 106 citations
- [from Benign import Toxic: Jailbreaking the Language Model via Adversarial Metaphors](https://md.research.elamur.ai/free/en/papers/yan-2025-benign-import-toxic-jailbreaking-language/) — Yu Yan, Sheng Sun, Zenghao Duan, et al. · 2025 · 12 citations
- [R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language Models](https://md.research.elamur.ai/free/en/papers/schelb-2026-r-u-psycho-framework-robust/) — Julian Schelb, Orr Borin, David Garcia, et al. · 2026
- [The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks](https://md.research.elamur.ai/free/en/papers/zhao-2026-mark-fades-adaptive-evolutionary-paraphrase/) — Yusheng Zhao, Jian Zhao, Tianle Zhang, et al. · 2026

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