--- title: "Mirac Suzgun — papers" description: "Mirac Suzgun: 5 papers in the Elamur Research library (2022–2024) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/mirac-suzgun/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mirac-suzgun/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mirac Suzgun # Mirac Suzgun 5 papers on this site (2022–2024) [OpenAlex](https://openalex.org/A5009980324) · h-index 14 · 26 works · 2914 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools](https://md.research.elamur.ai/free/en/papers/magesh-2024-hallucination-free-assessing-reliability-leading/) — Varun Magesh, Faiz Surani, Matthew Dahl, et al. · 2024 - [Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models](https://md.research.elamur.ai/free/en/papers/dahl-2024-large-legal-fictions-profiling-legal/) — Matthew Dahl, Varun Magesh, Mirac Suzgun, et al. · 2024 - [Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them](https://md.research.elamur.ai/free/en/papers/suzgun-2023-challenging-big-bench-tasks-whether/) — Mirac Suzgun, Nathan Scales, Nathanael Schärli, et al. · 2023 - [Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions](https://md.research.elamur.ai/free/en/papers/bianchi-2023-safety-tuned-llamas-lessons-improving/) — Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al. · 2023 - [Language Models are Multilingual Chain-of-Thought Reasoners](https://md.research.elamur.ai/free/en/papers/shi-2022-language-models-multilingual-chain-thought/) — Freda Shi, Mirac Suzgun, Markus Freitag, et al. · 2022