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Mrinank Sharma

17 papers hereh-index 122.1k citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author8
  • last author5

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.CR4
  • cs.LG3
  • cs.AI2
  • cs.CY1
  • stat.ML1
same name
  • Mrinank Sharma — 3 papers, h 12
  • Mrinank Sharma — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedTowards Understanding Sycophancy in Language Models

130 citations · 182 across the 16 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

4 papers · 2 filters

cs.CL2024

Best-of-N Jailbreaking

John Hughes, Sara Price, Aengus Lynch +7

We introduce Best-of-N (BoN) Jailbreaking, a simple black-box algorithm that jailbreaks frontier AI systems across modalities. BoN Jailbreaking works by repeatedly sampling variati…

cs.CL2024★ 1 cited

Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats

Jiaxin Wen, Vivek Hebbar, Caleb Larson +9

As large language models (LLMs) become increasingly capable, it is prudent to assess whether safety measures remain effective even if LLMs intentionally try to bypass them. Previou…

cs.CL2024

Rapid Response: Mitigating LLM Jailbreaks with a Few Examples

Alwin Peng, Julian Michael, Henry Sleight +2

As large language models (LLMs) grow more powerful, ensuring their safety against misuse becomes crucial. While researchers have focused on developing robust defenses, no method ha…

cs.CL2024

Failures to Find Transferable Image Jailbreaks Between Vision-Language Models

Rylan Schaeffer, Dan Valentine, Luke Bailey +12

The integration of new modalities into frontier AI systems offers exciting capabilities, but also increases the possibility such systems can be adversarially manipulated in undesir…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.