🔗 Who cites «Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?»

42 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?»

1. Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training LabelsarXiv:2406.17633Nicholas Pangakis, Samuel Wolken2024 · 42 citations
2. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
3. Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User PersonasAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Vishakh Padmakumar, Fumeng Yang, et al.2025 · 12 citations
4. WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More ChallengingAnnual Meeting of the Association for Computational Linguistics (ACL)Ahmed Elhady, Eneko Agirre, Mikel Artetxe2025 · 7 citations
5. Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?Annual Meeting of the Association for Computational Linguistics (ACL)Lorenzo Molfetta, Alessio Cocchieri, Luca Ragazzi, et al.2026 · 2 citations
6. QuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative AI Solutions on Quranic Linguistic KnowledgearXiv:2609.22038 · Arabic NLP 2026Rawan El Ghali; Umm Kulsoom; Anas Madkoor; Dima Faris Alsaudi; Roaa Abdelmagid; Roaa Ibrahim; Raghad Mousa; Hamza Aljaji; Abdullah Khanafer; Abdallah Alkanani; Salah Feras Alali; Rawan Khaled Mohamed;, Ehsaneddin Asgari2026

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

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