🔗 Who cites «TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation»

29 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation»

1. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
2. Checklists Are Better Than Reward Models For Aligning Language ModelsConference on Neural Information Processing Systems (NeurIPS)Vijay Viswanathan, Yanchao Sun, Shuang Ma, et al.2025 · 37 citations
3. 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
4. The Limits of Inference Scaling Through ResamplingarXiv:2411.17501Benedikt Stroebl, Sayash Kapoor, Arvind Narayanan2024 · 21 citations
5. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningarXiv:2504.01005Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
6. LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaodong Wu, Minhao Wang, Yichen Liu, et al.2025 · 11 citations
7. When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Ammar Khairi, Daniel D'souza, Ye Shen, et al.2025 · 6 citations
8. RubricBench: Aligning Model-Generated Rubrics with Human StandardsAnnual Meeting of the Association for Computational Linguistics (ACL)Junyi Zhou, Qiyuan Zhang, Yufei Wang, et al.2026 · 3 citations
9. Graders Should Cheat: Privileged Information Enables Expert-Level Automated EvaluationsConference on Empirical Methods in Natural Language Processing (EMNLP)Jin Peng Zhou, Séb Arnold, Nan Ding, et al.2025 · 3 citations
10. Training AI Scientists to Replicate ResearcharXiv:2608.13331Damon Falck, Samer Sabri, Anja Surina, et al.2026 · 2 citations
11. AutoChecklist: Composable Pipelines for Checklist Generation and Scoring with LLM-as-a-JudgeAnnual Meeting of the Association for Computational Linguistics (ACL)Karen Zhou, Chenhao Tan2026
12. Judging Instruction Responses in a Low-Resource Language: A Case Study on BasqueLanguage Resources and Evaluation Conference (LREC)David Ponce, Harritxu Gete, Thierry Etchegoyhen, et al.2026

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

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