most citedRefining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment

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cs.CL2025★ 1 cited

Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment

Melissa Kazemi Rad, Huy Nghiem, Andy Luo +3

Large Language Models (LLMs) have demonstrated powerful capabilities that render them valuable in different applications, including conversational AI products. It is paramount to e…

cs.CL2024

LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models

Akshaj Kumar Veldanda, Shi-Xiong Zhang, Anirban Das +4

Large language models (LLMs) have revolutionized various domains, yet their utility comes with significant challenges related to outdated or problematic knowledge embedded during p…