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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

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  1. From Lemmas to Dependencies: What Signals Drive Light Verbs Classification? — 2026 · Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026)
  2. MathAdv: What Theorem Provers Know, Reason, Formalize, and Generalize — 2026 · arXiv:2608.25449
  3. Measuring and Mitigating Shortcut Reliance in Language Models with Probe-Based Representation Entanglement — 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 — 2026 · arXiv:2607.03957
  5. Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation — 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 — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  7. Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification — 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 — 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 — 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 — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  11. ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution — 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 — 2025 · arXiv:2508.08833
  13. CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  14. Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model — 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 — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  16. FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  17. Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate — 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 — 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 — 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 — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  21. LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  22. MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  23. NeoQA: Evidence-based Question Answering with Generated News Events — 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 — 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 — 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 — 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 — 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 — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  29. SCORE: Systematic COnsistency and Robustness Evaluation for Large Language Models — 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 — 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 — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  32. What Has Been Lost with Synthetic Evaluation? — 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 — 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 — 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 — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  36. A Survey on Natural Language Counterfactual Generation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  37. AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents — 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? — 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 — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  40. Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards — 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP
  41. CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification — 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 — 2024 · Proceedings of the 17th International Natural Language Generation Conference
  43. Chaining Event Spans for Temporal Relation Grounding — 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 — 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 — our card · 2024 · arXiv:2406.15444
  46. Desiderata For The Context Use Of Question Answering Systems — 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 — 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 — 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 — 2024 · arXiv:2402.19472
  50. Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation — 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 — 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 — 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? — 2024 · Transactions of the Association for Computational Linguistics
  54. Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset — 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 — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  56. LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  57. MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  58. Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  59. NevIR: Negation in Neural Information Retrieval — 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 — 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 — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  62. Optimal and efficient text counterfactuals using Graph Neural Networks — 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 — 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 — 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 — 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 — 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 — 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? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  69. SynthEval: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  70. The Art of Saying No: Contextual Noncompliance in Language Models — 2024 · arXiv:2407.12043
  71. Unsupervised Contrast-Consistent Ranking with Language Models — 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 — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  73. When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  74. Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness — 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 — 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 — 2023 · arXiv:2305.13169
  77. A State-Vector Framework for Dataset Effects — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  78. An Overview Of Temporal Commonsense Reasoning and Acquisition — 2023 · arXiv:2308.00002
  79. AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  80. Benchmarking Long-tail Generalization with Likelihood Splits — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  81. COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  82. COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective — 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 — 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? — 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 — 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 — 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 — 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 — 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 — 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 — 2023 · Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)
  91. DistillCSE: Distilled Contrastive Learning for Sentence Embeddings — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  92. Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses? — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  94. Effects of Human Adversarial and Affable Samples on BERT Generalization — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  95. Euphemistic Abuse – A New Dataset and Classification Experiments for Implicitly Abusive Language — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  97. Examining Consistency of Visual Commonsense Reasoning based on Person Grounding — 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 — 2023 · Transactions of the Association for Computational Linguistics
  99. Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases — 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 — 2023 · Findings of the Association for Computational Linguistics: ACL 2023

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