🧑‍🔬 Who cites Estevam Hruschka

182 citations of their works from 182 papers of our library (of the 149,439 whose bibliographies we read) · 42 with a page here, the most cited first · ← Estevam Hruschka

1. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
2. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
3. Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey DesignTransactions of the Association for Computational Linguistics (TACL)Lindia Tjuatja, Valerie Chen, Tongshuang Wu, et al.2024 · 140 citations
4. CVQA: Culturally-diverse Multilingual Visual Question Answering BenchmarkConference on Neural Information Processing Systems (NeurIPS)David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, et al.2024 · 90 citations
5. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model EvaluatorsarXiv:2403.16950Yinhong Liu, Han Zhou, Zhijiang Guo, et al.2024 · 76 citations
6. When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model LeaderboardsarXiv:2402.01781Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay, et al.2024 · 74 citations
7. On Context Utilization in Summarization with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mathieu Ravaut, Aixin Sun, Nancy Chen, et al.2024 · 67 citations
8. Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?Annual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger2024 · 52 citations
9. Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?Language Resources and Evaluation Conference (LREC)Wangyue Li, Liangzhi Li, Tong Xiang, et al.2024 · 47 citations
10. ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanyi Ren, Haoran Ye, Hanjun Fang, et al.2024 · 43 citations
11. MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL GenerationInternational Conference on Computational Linguistics (COLING)Dongjun Lee, Choongwon Park, Jaehyuk Kim, et al.2025 · 42 citations
12. SALMON: Self-Alignment with Instructable Reward ModelsarXiv:2310.05910Zhiqing Sun, Yikang Shen, Hongxin Zhang, et al.2023 · 41 citations
13. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
14. Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM EvaluationInternational Conference on Computational Linguistics (COLING)Siyuan Wang, Zhuohan Long, Zhihao Fan, et al.2025 · 30 citations
15. 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
16. Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMsTransactions on Machine Learning ResearchAngelica Chen, Jason Phang, Alicia Parrish, et al.2023 · 25 citations
17. LLMs May Perform MCQA by Selecting the Least Incorrect OptionInternational Conference on Computational Linguistics (COLING)Haochun Wang, Sendong Zhao, Zewen Qiang, et al.2025 · 24 citations
18. Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, et al.2025 · 22 citations
19. CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-JudgesAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Qingyao Ai, et al.2025 · 15 citations
20. U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMsarXiv:2412.03205Konstantin Chernyshev, Vitaliy Polshkov, Ekaterina Artemova, et al.2024 · 13 citations
21. When2Call: When (not) to Call ToolsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hayley Ross, Ameya Sunil Mahabaleshwarkar, Yoshi Suhara2025 · 11 citations
22. Multiple LLM Agents Debate for Equitable Cultural AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Dayeon Ki, Rachel Rudinger, Tianyi Zhou, et al.2025 · 10 citations
23. 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
24. 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
25. HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained ModelsLanguage Resources and Evaluation Conference (LREC)Stephan Oepen, Nikolay Arefyev, Mikko Aulamo, et al.2026 · 1 citation
26. HumMusQA: A Human-written Music Understanding QA Benchmark DatasetWorkshop on NLP for Music and AudioBenno Weck, Pablo Puentes, Andrea Poltronieri, et al.2026 · 1 citation
27. NeCCo: Nepali Cultural Commonsense Benchmark for Large Language Model Evaluationworkshop on Challenges in Processing South Asian LanguagesSanket Shrestha, Raunak Regmi, Sadikshya Ghimire, et al.2026 · 1 citation
28. Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Priyanka Mary Mammen, Emil Joswin, Shankar Venkitachalam2026 · 1 citation
29. Assessing the Belief Consistency of Large Language Models on the Logical Conversation ProcessAnnual Meeting of the Association for Computational Linguistics (ACL)Tomoki Tsujimura, Matīss Rikters, Masaki Asada, et al.2026
30. At Your Own PACE: A Causal Framework for Evaluating EQ in LLMsFindings of the Association for Computational LinguisticsLei Lyu, Shengling Wang, Ke Chao, et al.2026
31. Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on QualityFindings of the Association for Computational LinguisticsQipeng Xie, Zi Liang, Jiafei Wu, et al.2026
32. Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order PerturbationsLanguage Resources and Evaluation Conference (LREC)Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.2026
33. Evaluating the Effect of Question Wording Variations on Answer Consistency in Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Junya Takayama, Masaya Ohagi, Tomoya Mizumoto, et al.2026
34. MHGraphBench: Knowledge Graph-Grounded Benchmarking of Mental Health Knowledge in Large Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Weixin Liu, Congning Ni, Shelagh A. Mulvaney, et al.2026
35. Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPOAnnual Meeting of the Association for Computational Linguistics (ACL)Jinquan Zheng, Jia Yuan, Jiacheng Yao, et al.2026
36. Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not StableFindings of the Association for Computational LinguisticsZhenheng Tang, Qihua Pan, Jingya Shen, et al.2026
37. Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding DataAnnual Meeting of the Association for Computational Linguistics (ACL)Shiping Yang, Jie Wu, Wenbiao Ding, et al.2026
38. R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language ModelsLanguage Resources and Evaluation Conference (LREC)Julian Schelb, Orr Borin, David Garcia, et al.2026
39. Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-TuningFindings of the Association for Computational LinguisticsMax Schaffelder, Albert Gatt2026
40. Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bolei Ma, Yong Cao, Indira Sen, et al.2026
41. U-Fold: Dynamic Intent-Aware Context Folding for User-Centric AgentsFindings of the Association for Computational LinguisticsJin Su, Runnan Fang, Yeqiu Li, et al.2026
42. When Models Decide and When They Bind: A Two-Stage Computation for Multiple-Choice Question AnsweringFindings of the Association for Computational LinguisticsHugh Mee Wong, Rick Nouwen, Albert Gatt2026

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