Challenges in Guardrailing Large Language Models for Science Article Swipe
Nishan Pantha
,
Muthukumaran Ramasubramanian
,
Iksha Gurung
,
Manil Maskey
,
Rahul Ramachandran
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2411.08181
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2411.08181
The rapid development in large language models (LLMs) has transformed the landscape of natural language processing and understanding (NLP/NLU), offering significant benefits across various domains. However, when applied to scientific research, these powerful models exhibit critical failure modes related to scientific integrity and trustworthiness. Existing general-purpose LLM guardrails are insufficient to address these unique challenges in the scientific domain. We provide comprehensive guidelines for deploying LLM guardrails in the scientific domain. We identify specific challenges -- including time sensitivity, knowledge contextualization, conflict resolution, and intellectual property concerns -- and propose a guideline framework for the guardrails that can align with scientific needs. These guardrail dimensions include trustworthiness, ethics & bias, safety, and legal aspects. We also outline in detail the implementation strategies that employ white-box, black-box, and gray-box methodologies that can be enforced within scientific contexts.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2411.08181
- https://arxiv.org/pdf/2411.08181
- OA Status
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- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4404407063Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2411.08181Digital Object Identifier
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Challenges in Guardrailing Large Language Models for ScienceWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-11-12Full publication date if available
- Authors
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Nishan Pantha, Muthukumaran Ramasubramanian, Iksha Gurung, Manil Maskey, Rahul RamachandranList of authors in order
- Landing page
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https://arxiv.org/abs/2411.08181Publisher landing page
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https://arxiv.org/pdf/2411.08181Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2411.08181Direct OA link when available
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Computer science, Linguistics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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