---
title: "Who cites A Challenge Set Approach to Evaluating Machine…"
description: "The papers of the Elamur Research library that cite «A Challenge Set Approach to Evaluating Machine Translation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/isabelle-2017-challenge-set-approach-evaluating-machine/cited-by/"
---
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# Who cites «A Challenge Set Approach to Evaluating Machine Translation»

111 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/isabelle-2017-challenge-set-approach-evaluating-machine/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/isabelle-2017-challenge-set-approach-evaluating-machine/cited-by/page/2/)

1. [A Fine-Grained Linguistic Evaluation of Low-Resource Luxembourgish–English MT](https://aclanthology.org/2026.loresmt-1.12/) *— 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
2. [Augmenting Text to Increase Translation Difficulty](https://aclanthology.org/2026.eamt-1.21/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
3. [Benchmarking Multilingual LLM Translation Accuracy for Fuzhounese](https://aclanthology.org/2026.sigul-1.20/) *— 2026 · Proceedings of the SIGUL 2026 Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages*
4. [Do Evaluation Metrics Detect Errors in Classical Chinese to English Translations?](https://arxiv.org/abs/2608.08283) *— 2026 · arXiv:2608.08283*
5. [Generating Difficult-to-Translate Texts](https://aclanthology.org/2026.mme-main.14/) *— 2026 · Proceedings of the First Workshop on Multilingual Multicultural Evaluation*
6. [Memorisation Meets Compositionality in Natural Language Processing](https://aclanthology.org/2026.bigpicture-main.12/) *— 2026 · Proceedings of The Big Picture v2: Crafting a Research Narrative*
7. [Round-Trip Translation Reveals What Frontier Multilingual Benchmarks Miss](https://arxiv.org/abs/2604.12911) *— 2026 · arXiv:2604.12911*
8. [The Validity of Coreference-based Evaluations of Natural Language Understanding](https://arxiv.org/abs/2602.16200) *— 2026 · arXiv:2602.16200*
9. [A Large-Scale Benchmark for Vietnamese Sentence Paraphrases](https://aclanthology.org/2025.findings-naacl.59/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
10. [A Testset for Context-Aware LLM Translation in Korean-to-English Discourse Level Translation](https://aclanthology.org/2025.coling-main.110/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
11. [Enhancing Neural Machine Translation Through Target Language Data: A $k$NN-LM Approach for Domain Adaptation](https://aclanthology.org/2025.acl-long.496/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling](https://aclanthology.org/2025.findings-emnlp.1003/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
13. [GENDEROUS: Machine Translation and Cross-Linguistic Evaluation of a Gender-Ambiguous Dataset](https://aclanthology.org/2025.gebnlp-1.27/) *— 2025 · Proceedings of the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP)*
14. [MSLC25: Metric Performance on Low-Quality Machine Translation, Empty Strings, and Language Variants](https://aclanthology.org/2025.wmt-1.69/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
15. [Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets](https://aclanthology.org/2025.cl-1.4/) *— 2025 · Computational Linguistics*
16. [Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model](https://aclanthology.org/2025.findings-acl.83/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
17. [Using LLMs to Advance Idiom Corpus Construction](https://aclanthology.org/2025.mwe-1.4/) *— 2025 · Proceedings of the 21st Workshop on Multiword Expressions (MWE 2025)*
18. [A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models](https://aclanthology.org/2024.lrec-main.120/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
19. [Context-Aware Neural Machine Translation Models Analysis And Evaluation Through Attention](https://aclanthology.org/2023.tal-3.4/) *— 2024*
20. [Exploring NMT Explainability for Translators Using NMT Visualising Tools](https://aclanthology.org/2024.eamt-1.34/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
21. [GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?](https://aclanthology.org/2024.lrec-main.694/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
22. [Quality and Quantity of Machine Translation References for Automatic Metrics](https://aclanthology.org/2024.humeval-1.1/) *— 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024*
23. [Solving the Challenge Set without Solving the Task: On Winograd Schemas as a Test of Pronominal Coreference Resolution](https://aclanthology.org/2024.conll-1.38/) *— 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning*
24. [Vers la traduction automatique des néologismes scientifiques](https://aclanthology.org/2024.jeptalnrecital-taln.17/) *— 2024 · Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position*
25. [Évaluation de la Similarité Textuelle : Entre Sémantique et Surface dans les Représentations Neuronales](https://aclanthology.org/2024.jeptalnrecital-taln.6/) *— 2024 · Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position*
26. [A Multilingual Evaluation of NER Robustness to Adversarial Inputs](https://aclanthology.org/2023.repl4nlp-1.4/) *— 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)*
27. [A Research-Based Guide for the Creation and Deployment of a Low-Resource Machine Translation System](https://aclanthology.org/2023.ranlp-1.88/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
28. [ACES: Translation Accuracy Challenge Sets at WMT 2023](https://aclanthology.org/2023.wmt-1.57/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
29. [Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement](https://aclanthology.org/2023.tacl-1.2/) *— 2023 · Transactions of the Association for Computational Linguistics*
30. [Cheating to Identify Hard Problems for Neural Machine Translation](https://aclanthology.org/2023.findings-eacl.120/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
31. [Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus](https://arxiv.org/abs/2305.11142) *— 2023 · arXiv:2305.11142 · ACL 2023*
32. [Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels](https://aclanthology.org/2023.acl-long.435/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
33. [Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases](https://aclanthology.org/2023.findings-acl.833/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
34. [Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT?](https://aclanthology.org/2023.wmt-1.23/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
35. [Long to reign over us: A Case Study of Machine Translation and a New Monarch](https://aclanthology.org/2023.findings-acl.412/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
36. [Quality Fit for Purpose: Building Business Critical Errors Test Suites](https://aclanthology.org/2023.eamt-1.44/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
37. [Translating Dislocations or Parentheticals : Investigating the Role of Prosodic Boundaries for Spoken Language Translation of French into English](https://aclanthology.org/2023.mtsummit-users.11/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
38. [Utiliser les syntagmes nominaux complexes anglais pour évaluer la robustesse des systèmes de traduction anglais-français en langue de spécialité](https://aclanthology.org/2023.jeptalnrecital-rjc.4/) *— 2023 · Actes de CORIA-TALN 2023. Actes des 16e Rencontres Jeunes Chercheurs en RI (RJCRI) et 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL)*
39. [A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German–English Machine Translation Output](https://aclanthology.org/2022.lrec-1.99/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
40. [ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics](https://md.research.elamur.ai/free/en/papers/amrhein-2022-aces-translation-accuracy-challenge-sets/) *— our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
41. [Biais de genre dans un système de traduction automatique neuronale : une étude des mécanismes de transfert cross-langue Gender bias in a neural machine translation system: a study of crosslingual transfer mechanisms](https://aclanthology.org/2022.tal-1.2/) *— 2022*
42. [BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation](https://aclanthology.org/2022.naacl-main.111/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
43. [Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation](https://aclanthology.org/2022.acl-long.252/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Food for Thought: How can we exploit contextual embeddings in the translation of idiomatic expressions?](https://aclanthology.org/2022.flp-1.14/) *— 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)*
45. [HiJoNLP at SemEval-2022 Task 2: Detecting Idiomaticity of Multiword Expressions using Multilingual Pretrained Language Models](https://aclanthology.org/2022.semeval-1.23/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
46. [Investigating Failures of Automatic Translation in the Case of Unambiguous Gender](https://aclanthology.org/2022.acl-long.243/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions](https://md.research.elamur.ai/free/en/papers/macketanz-2022-linguistically-motivated-evaluation-2022-state/) *— our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
48. [Linguistically-Motivated Yorùbá-English Machine Translation](https://aclanthology.org/2022.coling-1.449/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
49. [Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets](https://aclanthology.org/2022.emnlp-main.135/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
50. [PreQuEL: Quality Estimation of Machine Translation Outputs in Advance](https://aclanthology.org/2022.emnlp-main.767/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
51. [Test Suite Evaluation: Morphological Challenges and Pronoun Translation](https://aclanthology.org/2022.wmt-1.42/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
52. [Toward a Test Set of Dislocations in Persian for Neural Machine Translation](https://aclanthology.org/2022.nsurl-1.3/) *— 2022 · Proceedings of the Third International Workshop on NLP Solutions for Under Resourced Languages (NSURL 2022) co-located with ICNLSP 2022*
53. [Biais de genre dans un système de traduction automatiqueneuronale : une étude préliminaire (Gender Bias in Neural Translation : a preliminary study )](https://aclanthology.org/2021.jeptalnrecital-taln.2/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
54. [CausaLM: Causal Model Explanation Through Counterfactual Language Models](https://aclanthology.org/2021.cl-2.13/) *— 2021 · Computational Linguistics*
55. [Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing](https://aclanthology.org/2021.cl-1.3/) *— 2021 · Computational Linguistics*
56. [Contextualized Embeddings Encode Monolingual and Cross-lingual Knowledge of Idiomaticity](https://aclanthology.org/2021.mwe-1.4/) *— 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)*
57. [Does BERT Understand Idioms? A Probing-Based Empirical Study of BERT Encodings of Idioms](https://aclanthology.org/2021.ranlp-1.156/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
58. [HateCheck: Functional Tests for Hate Speech Detection Models](https://aclanthology.org/2021.acl-long.4/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
59. [Linguistic Evaluation for the 2021 State-of-the-art Machine Translation Systems for German to English and English to German](https://aclanthology.org/2021.wmt-1.115/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
60. [NoiseQA: Challenge Set Evaluation for User-Centric Question Answering](https://aclanthology.org/2021.eacl-main.259/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
61. [On nature and causes of observed MT errors](https://aclanthology.org/2021.mtsummit-research.14/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
62. [Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?](https://aclanthology.org/2021.eacl-main.295/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
63. [Sometimes We Want Ungrammatical Translations](https://aclanthology.org/2021.findings-emnlp.275/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
64. [Tribrid: Stance Classification with Neural Inconsistency Detection](https://aclanthology.org/2021.emnlp-main.547/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
65. [What Can a Generative Language Model Answer About a Passage?](https://aclanthology.org/2021.mrqa-1.7/) *— 2021 · Proceedings of the 3rd Workshop on Machine Reading for Question Answering*
66. [An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil](https://aclanthology.org/2020.wat-1.22/) *— 2020 · Proceedings of the 7th Workshop on Asian Translation*
67. [Cross-Linguistic Syntactic Evaluation of Word Prediction Models](https://aclanthology.org/2020.acl-main.490/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
68. [Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale](https://aclanthology.org/2020.coling-main.210/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
69. [Disambiguation of Potentially Idiomatic Expressions with Contextual Embeddings](https://aclanthology.org/2020.mwe-1.11/) *— 2020 · Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons*
70. [Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation](https://aclanthology.org/2020.blackboxnlp-1.19/) *— 2020 · Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
71. [Evaluating Models' Local Decision Boundaries via Contrast Sets](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
72. [Fine-grained linguistic evaluation for state-of-the-art Machine Translation](https://aclanthology.org/2020.wmt-1.38/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
73. [No more rage against the machine: how the corpus-based identification of machine-translationese can lead to student empowerment](https://www.jostrans.org/article/view/7910) *— 2020 · The Journal of Specialised Translation (JoSTrans)*
74. [Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English](https://aclanthology.org/2020.coling-main.443/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
75. [PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents](https://aclanthology.org/2020.coling-main.521/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
76. [Quantitative Analysis of Post-Editing Effort Indicators for NMT](https://aclanthology.org/2020.eamt-1.44/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
77. [Stance Detection Benchmark: How Robust Is Your Stance Detection?](https://arxiv.org/abs/2001.01565) *— 2020 · arXiv:2001.01565*
78. [Analysis Methods in Neural Language Processing: A Survey](https://aclanthology.org/Q19-1004/) *— 2019 · Transactions of the Association for Computational Linguistics*
79. [Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation](https://aclanthology.org/K19-1028/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
80. [Context in Neural Machine Translation: A Review of Models and Evaluations](https://arxiv.org/abs/1901.09115) *— 2019 · arXiv:1901.09115*
81. [Does NMT make a difference when post-editing closely related languages? The case of Spanish-Catalan](https://aclanthology.org/W19-6708/) *— 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks*
82. [Evaluating Gender Bias in Machine Translation](https://aclanthology.org/P19-1164/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
83. [Evaluating adversarial attacks against multiple fact verification systems](https://aclanthology.org/D19-1292/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
84. [Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation](https://aclanthology.org/N19-1120/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
85. [Human Evaluation of Neural Machine Translation: The Case of Deep Learning](https://aclanthology.org/W19-8705/) *— 2019 · Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019)*
86. [Neural Machine Translation: A Review and Survey](https://arxiv.org/abs/1912.02047) *— 2019 · arXiv:1912.02047*
87. [Non-Parametric Adaptation for Neural Machine Translation](https://aclanthology.org/N19-1191/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
88. [Semantic Neural Machine Translation Using AMR](https://md.research.elamur.ai/free/en/papers/song-2019-semantic-neural-machine-translation-amr/) *— our card · 2019 · Transactions of the Association for Computational Linguistics*
89. [The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation](https://aclanthology.org/W19-5354/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
90. [compare-mt: A Tool for Holistic Comparison of Language Generation Systems](https://aclanthology.org/N19-4007/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)*
91. [A fine-grained error analysis of NMT, SMT and RBMT output for English-to-Dutch](https://aclanthology.org/L18-1600/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
92. [Analyzing Uncertainty in Neural Machine Translation](https://arxiv.org/abs/1803.00047) *— 2018 · arXiv:1803.00047*
93. [Automatic Evaluation of English-to-Korean and Korean-to-English Neural Machine Translation Systems by Linguistic Test Points](https://aclanthology.org/Y18-1013/) *— 2018 · Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation*
94. [Construction of a Multilingual Corpus Annotated with Translation Relations](https://aclanthology.org/W18-3814/) *— 2018 · Proceedings of the First Workshop on Linguistic Resources for Natural Language Processing*
95. [Detecting context-dependent sentences in parallel corpora](https://aclanthology.org/2018.jeptalnrecital-court.22/) *— 2018 · Actes de la Conférence TALN. Volume 1 - Articles longs, articles courts de TALN*
96. [Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method](https://aclanthology.org/L18-1005/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
97. [Examining the Tip of the Iceberg: A Data Set for Idiom Translation](https://aclanthology.org/L18-1148/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
98. [Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks](https://aclanthology.org/N18-2078/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
99. [Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically motivated Test Suite](https://aclanthology.org/W18-2107/) *— 2018 · Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and Automatic Post-Editing*
100. [MTNT: A Testbed for Machine Translation of Noisy Text](https://aclanthology.org/D18-1050/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/isabelle-2017-challenge-set-approach-evaluating-machine/cited-by/page/2/)