---
title: "Who cites Evaluating Models' Local Decision Boundaries via…"
description: "The papers of the Elamur Research library that cite «Evaluating Models' Local Decision Boundaries via Contrast Sets», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/cited-by/"
---
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# Who cites «Evaluating Models' Local Decision Boundaries via Contrast Sets»

264 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/gardner-2020-evaluating-models-local-decision-boundaries/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/cited-by/page/3/)

1. [From Lemmas to Dependencies: What Signals Drive Light Verbs Classification?](https://aclanthology.org/2026.sigturk-1.18/) *— 2026 · Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026)*
2. [MathAdv: What Theorem Provers Know, Reason, Formalize, and Generalize](https://arxiv.org/abs/2608.25449) *— 2026 · arXiv:2608.25449*
3. [Measuring and Mitigating Shortcut Reliance in Language Models with Probe-Based Representation Entanglement](https://aclanthology.org/2026.acl-srw.59/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
4. [NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO](https://arxiv.org/abs/2607.03957) *— 2026 · arXiv:2607.03957*
5. [Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation](https://aclanthology.org/2026.acl-long.12/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [STaD: Scaffolded Task Design for Identifying Compositional Skill Gaps in LLMs](https://aclanthology.org/2026.findings-acl.1977/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
7. [Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification](https://aclanthology.org/2026.acl-srw.71/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
8. [SymPyBench: A Dynamic Benchmark for Scientific Reasoning with Executable Python Code](https://aclanthology.org/2026.eacl-industry.8/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track)*
9. [The Proxy Presumption: From Semantic Embeddings to Valid Social Measures](https://aclanthology.org/2026.acl-long.1048/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Who Benchmarks the Benchmarks? A Case Study of LLM Evaluation in Icelandic](https://aclanthology.org/2026.lrec-1.369/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
11. [ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution](https://aclanthology.org/2025.acl-long.1234/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems](https://arxiv.org/abs/2508.08833) *— 2025 · arXiv:2508.08833*
13. [CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples](https://aclanthology.org/2025.emnlp-main.520/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
14. [Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model](https://aclanthology.org/2025.acl-long.260/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language Models](https://aclanthology.org/2025.findings-acl.1087/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
16. [FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation](https://aclanthology.org/2025.findings-acl.64/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
17. [Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate](https://aclanthology.org/2025.ijcnlp-long.185/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
18. [Glider: Global and Local Instruction-Driven Expert Router](https://aclanthology.org/2025.emnlp-main.319/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
19. [GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models](https://aclanthology.org/2025.naacl-long.420/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
20. [Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes](https://aclanthology.org/2025.coling-main.529/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
21. [LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder](https://aclanthology.org/2025.emnlp-main.1433/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
22. [MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering](https://aclanthology.org/2025.findings-emnlp.167/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
23. [NeoQA: Evidence-based Question Answering with Generated News Events](https://aclanthology.org/2025.findings-acl.616/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
24. [On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs](https://aclanthology.org/2025.naacl-long.29/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
25. [On Guardrail Models' Robustness to Mutations and Adversarial Attacks](https://aclanthology.org/2025.findings-emnlp.922/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
26. [People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text](https://aclanthology.org/2025.acl-long.267/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
27. [Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE](https://aclanthology.org/2025.ijcnlp-long.81/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
28. [Revisiting Implicitly Abusive Language Detection: Evaluating LLMs in Zero-Shot and Few-Shot Settings](https://aclanthology.org/2025.coling-main.262/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
29. [SCORE: Systematic COnsistency and Robustness Evaluation for Large Language Models](https://aclanthology.org/2025.naacl-industry.39/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)*
30. [Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals](https://aclanthology.org/2025.inlg-main.5/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference*
31. [Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary](https://aclanthology.org/2025.emnlp-main.1065/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
32. [What Has Been Lost with Synthetic Evaluation?](https://aclanthology.org/2025.findings-emnlp.526/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
33. [Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above](https://aclanthology.org/2025.acl-long.169/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs](https://aclanthology.org/2025.emnlp-main.167/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
35. [A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners](https://aclanthology.org/2024.emnlp-main.272/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
36. [A Survey on Natural Language Counterfactual Generation](https://aclanthology.org/2024.findings-emnlp.276/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
37. [AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents](https://aclanthology.org/2024.acl-long.850/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?](https://aclanthology.org/2024.acl-long.555/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals](https://aclanthology.org/2024.findings-emnlp.520/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
40. [Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards](https://aclanthology.org/2024.genbench-1.8/) *— 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP*
41. [CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification](https://aclanthology.org/2024.eacl-long.181/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
42. [CEval: A Benchmark for Evaluating Counterfactual Text Generation](https://aclanthology.org/2024.inlg-main.6/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
43. [Chaining Event Spans for Temporal Relation Grounding](https://aclanthology.org/2024.eacl-long.101/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets](https://aclanthology.org/2024.lrec-main.372/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
45. [Cutting Through the Noise: Boosting LLM Performance on Math Word Problems](https://md.research.elamur.ai/free/en/papers/anantheswaran-2024-cutting-through-noise-boosting-llm/) *— our card · 2024 · arXiv:2406.15444*
46. [Desiderata For The Context Use Of Question Answering Systems](https://aclanthology.org/2024.eacl-long.47/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [Diffusion Based Counterfactual Augmentation for Dual Sentiment Classification](https://aclanthology.org/2024.lrec-main.439/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
48. [EVil-Probe - a Composite Benchmark for Extensive Visio-Linguistic Probing](https://aclanthology.org/2024.lrec-main.591/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
49. [Efficient Lifelong Model Evaluation in an Era of Rapid Progress](https://arxiv.org/abs/2402.19472) *— 2024 · arXiv:2402.19472*
50. [Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation](https://aclanthology.org/2024.lrec-main.525/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
51. [Evaluating ChatGPT against Functionality Tests for Hate Speech Detection](https://aclanthology.org/2024.lrec-main.564/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
52. [GuardBench: A Large-Scale Benchmark for Guardrail Models](https://aclanthology.org/2024.emnlp-main.1022/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
53. [How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?](https://aclanthology.org/2024.tacl-1.63/) *— 2024 · Transactions of the Association for Computational Linguistics*
54. [Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset](https://aclanthology.org/2024.naacl-long.248/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
55. [LJPCheck: Functional Tests for Legal Judgment Prediction](https://aclanthology.org/2024.findings-acl.350/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
56. [LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study](https://aclanthology.org/2024.findings-emnlp.870/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
57. [MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula](https://aclanthology.org/2024.findings-emnlp.323/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
58. [Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals](https://aclanthology.org/2024.findings-emnlp.205/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
59. [NevIR: Negation in Neural Information Retrieval](https://aclanthology.org/2024.eacl-long.139/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
60. [Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm](https://aclanthology.org/2024.emnlp-main.132/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
61. [One Thousand and One Pairs: A “novel” challenge for long-context language models](https://aclanthology.org/2024.emnlp-main.948/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
62. [Optimal and efficient text counterfactuals using Graph Neural Networks](https://aclanthology.org/2024.blackboxnlp-1.1/) *— 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
63. [PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning](https://aclanthology.org/2024.acl-long.646/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
64. [Principles from Clinical Research for NLP Model Generalization](https://aclanthology.org/2024.naacl-long.127/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
65. [RORA: Robust Free-Text Rationale Evaluation](https://aclanthology.org/2024.acl-long.60/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [Rainbow - A Benchmark for Systematic Testing of How Sensitive Visio-Linguistic Models are to Color Naming](https://aclanthology.org/2024.eacl-long.112/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
67. [Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders](https://aclanthology.org/2024.knowllm-1.13/) *— 2024 · Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024)*
68. [Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?](https://aclanthology.org/2024.emnlp-main.147/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
69. [SynthEval: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists](https://aclanthology.org/2024.findings-emnlp.412/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
70. [The Art of Saying No: Contextual Noncompliance in Language Models](https://arxiv.org/abs/2407.12043) *— 2024 · arXiv:2407.12043*
71. [Unsupervised Contrast-Consistent Ranking with Language Models](https://aclanthology.org/2024.eacl-long.54/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization](https://aclanthology.org/2024.findings-emnlp.775/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
73. [When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models](https://aclanthology.org/2024.emnlp-main.574/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
74. [Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness](https://aclanthology.org/2024.naacl-long.310/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
75. [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)*
76. [A Pretrainer”s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity](https://arxiv.org/abs/2305.13169) *— 2023 · arXiv:2305.13169*
77. [A State-Vector Framework for Dataset Effects](https://aclanthology.org/2023.emnlp-main.942/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
78. [An Overview Of Temporal Commonsense Reasoning and Acquisition](https://arxiv.org/abs/2308.00002) *— 2023 · arXiv:2308.00002*
79. [AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction](https://aclanthology.org/2023.eacl-main.219/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
80. [Benchmarking Long-tail Generalization with Likelihood Splits](https://aclanthology.org/2023.findings-eacl.71/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
81. [COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements](https://aclanthology.org/2023.findings-acl.392/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
82. [COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective](https://aclanthology.org/2023.acl-long.288/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [CREST: A Joint Framework for Rationalization and Counterfactual Text Generation](https://aclanthology.org/2023.acl-long.842/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
84. [Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?](https://aclanthology.org/2023.acl-long.138/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering](https://aclanthology.org/2023.emnlp-main.547/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
86. [Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach](https://aclanthology.org/2023.acl-long.141/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [Counterfactual Active Learning for Out-of-Distribution Generalization](https://aclanthology.org/2023.acl-long.636/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [DISCO: Distilling Counterfactuals with Large Language Models](https://aclanthology.org/2023.acl-long.302/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Data Curation Alone Can Stabilize In-context Learning](https://aclanthology.org/2023.acl-long.452/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [Deductive Additivity for Planning of Natural Language Proofs](https://aclanthology.org/2023.nlrse-1.11/) *— 2023 · Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)*
91. [DistillCSE: Distilled Contrastive Learning for Sentence Embeddings](https://aclanthology.org/2023.findings-emnlp.547/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
92. [Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?](https://md.research.elamur.ai/free/en/papers/eacl-2023-shmidman-do-pretrained-contextual-language-models/) *— our card · 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
93. [EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification](https://aclanthology.org/2023.emnlp-main.826/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
94. [Effects of Human Adversarial and Affable Samples on BERT Generalization](https://aclanthology.org/2023.findings-emnlp.512/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
95. [Euphemistic Abuse – A New Dataset and Classification Experiments for Implicitly Abusive Language](https://aclanthology.org/2023.emnlp-main.1012/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
96. [Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension](https://aclanthology.org/2023.emnlp-main.9/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
97. [Examining Consistency of Visual Commonsense Reasoning based on Person Grounding](https://aclanthology.org/2023.ijcnlp-main.66/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions](https://aclanthology.org/2023.tacl-1.61/) *— 2023 · Transactions of the Association for Computational Linguistics*
99. [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*
100. [GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective](https://aclanthology.org/2023.findings-acl.806/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*

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