🧑‍🔬 Who cites Niloofar Mireshghallah

266 citations of their works from 266 papers of our library (of the 141,840 whose bibliographies we read) · 12 with a page here, the most cited first · ← Niloofar Mireshghallah

1. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 379 citations
2. Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferencearXiv:2412.13663Benjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.2024 · 355 citations
   WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsConference on Neural Information Processing Systems (NeurIPS)Seungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 155 citations
3. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
4. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsarXiv:2410.18451Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 104 citations
5. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the WildarXiv:2406.04770Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, et al.2024 · 95 citations
   Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the ArtTransactions of the Association for Computational Linguistics (TACL)Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen2025 · 89 citations
   Machine Unlearning of Pre-trained Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Yao, Eli Chien, Minxin Du, et al.2024 · 84 citations
6. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 73 citations
   German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM StudiesLanguage Resources and Evaluation Conference (LREC)Jens Rupprecht, Leon Froehling, Claudia Wagner, et al.2026 · 1 citation
   EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMsLanguage Resources and Evaluation Conference (LREC)Ali Satvaty, Suzan Verberne, Fatih Turkmen2026
7. Obscuring Data Contamination Through Translation: Evidence from Arabic CorporaarXiv:2601.14994Chaymaa Abbas, Nour Shamaa, Mariette Awad2026

254 more citing papers of our library have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/niloofar-mireshghallah/cited-by/