🔗 Who cites «Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment»

1. ART: Adaptive Reasoning Trees for Explainable Claim VerificationFindings of the Association for Computational LinguisticsSahil Wadhwa, Himanshu Kumar, Guanqun Yang, et al.2026 · 1 citation
2. SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Huy Nghiem, Advik Sachdeva, Hal Daumé Iii2026 · 1 citation
3. Choose Your Lens: Multi-Perspective Value Alignment of Chain-of-Thought ReasoningFindings of the Association for Computational LinguisticsGejian Zhao, Hanzhou Wu, Xinpeng Zhang2026

5 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/rad-2025-refining-input-guardrails-enhancing-llm/cited-by/