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Who cites «Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference» · page 2

699 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. Neurosymbolic AI for Natural Language Inference in French : combining LLMs and theorem provers for semantic parsing and natural language reasoning — 2025 · Proceedings of the 16th International Conference on Computational Semantics
  2. Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  3. On Reference (In-)Determinacy in Natural Language Inference — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  4. On Tables with Numbers, with Numbers — 2025 · Proceedings of the 1st Workshop on Language Models for Underserved Communities (LM4UC 2025)
  5. Probing Vision-Language Understanding through the Visual Entailment Task: promises and pitfalls — 2025 · Proceedings of the 2nd LUHME Workshop
  6. Punctuation Restoration Improves Structure Understanding without Supervision — 2025 · Proceedings of the 10th Workshop on Representation Learning for NLP (RepL4NLP-2025)
  7. Research Community Perspectives on ``Intelligence'' and Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  8. Self-Rationalization in the Wild: A Large-scale Out-of-Distribution Evaluation on NLI-related tasks — 2025 · Transactions of the Association for Computational Linguistics
  9. Sneaking Syntax into Transformer Language Models with Tree Regularization — 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)
  10. Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  11. Supervised and Unsupervised Probing of Shortcut Learning: Case Study on the Emergence and Evolution of Syntactic Heuristics in BERT — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  12. TEEMIL : Towards Educational MCQ Difficulty Estimation in Indic Languages — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  13. Temporal Relation Classification: An XAI Perspective — 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
  14. Understanding Figurative Meaning through Explainable Visual Entailment — 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)
  15. Unravelling the Logic: Investigating the Generalisation of Transformers in Numerical Satisfiability Problems — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  16. When Does Meaning Backfire? Investigating the Role of AMRs in NLI — 2025 · Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025)
  17. 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
  18. A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
  19. A Primer on the Inner Workings of Transformer-based Language Models — 2024 · arXiv:2405.00208
  20. A linguistically-motivated evaluation methodology for unraveling model's abilities in reading comprehension tasks — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  21. ALVIN: Active Learning Via INterpolation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  22. AMREx: AMR for Explainable Fact Verification — 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)
  23. APPLS: Evaluating Evaluation Metrics for Plain Language Summarization — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  24. Adapting LLMs for Structured Natural Language API Integration — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track
  25. Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  26. Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs — 2024 · Transactions of the Association for Computational Linguistics
  27. Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  28. 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)
  29. Benchmark Transparency: Measuring the Impact of Data on Evaluation — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  30. Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  31. 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
  32. CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  33. Causal-Guided Active Learning for Debiasing Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  34. Cheetah: Natural Language Generation for 517 African Languages — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  35. Comparing Template-based and Template-free Language Model Probing — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  37. Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  38. DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  39. Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  40. Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  41. Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification? — 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
  42. Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  43. Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  44. Evaluating the Robustness of Adverse Drug Event Classification Models using Templates — 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
  45. Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  46. Expliquer une boîte noire sans boîte noire [Explaining a Black Box Without a Black Box] — 2024
  47. Explore Spurious Correlations at the Concept Level in Language Models for Text Classification — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. Exploring Continual Learning of Compositional Generalization in NLI — 2024 · Transactions of the Association for Computational Linguistics
  49. Exploring and Mitigating Shortcut Learning for Generative Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  50. Extending the BabyLM Initiative : Promoting Diversity in Datasets and Metrics through High-Quality Linguistic Corpora — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
  51. FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  52. Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect Evidence — 2024 · Transactions of the Association for Computational Linguistics
  53. Functionality learning through specification instructions — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  54. Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  55. Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  56. How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? — 2024 · Transactions of the Association for Computational Linguistics
  57. How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  58. ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  59. Identifying and Mitigating Annotation Bias in Natural Language Understanding using Causal Mediation Analysis — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  60. In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  61. InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  62. Inference and Verbalization Functions During In-Context Learning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  63. Investigating the Generalizability of Pretrained Language Models across Multiple Dimensions: A Case Study of NLI and MRC — 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP
  64. It is not True that Transformers are Inductive Learners: Probing NLI Models with External Negation — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  65. LLMs Are Prone to Fallacies in Causal Inference — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  66. Large Language Model Recall Uncertainty is Modulated by the Fan Effect — 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning
  67. Large Language Models are not Fair Evaluators — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  68. Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. — 2024 · Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024)
  69. Learning to Write Rationally: How Information Is Distributed in Non-native Speakers'' Essays — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  70. Linguistic Rule Induction Improves Adversarial and OOD Robustness in Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  71. LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  72. Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  73. Measuring the Robustness of NLP Models to Domain Shifts — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  74. Mitigating Shortcuts in Language Models with Soft Label Encoding — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  75. Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  76. MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models — 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP
  77. Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  78. Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  79. No Context Needed: Contextual Quandary In Idiomatic Reasoning With Pre-Trained Language Models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  80. Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding — 2024 · Transactions of the Association for Computational Linguistics
  81. OYXOY: A Modern NLP Test Suite for Modern Greek — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  82. On Retrieval Augmentation and the Limitations of Language Model Training — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  83. On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations? — 2024 · arXiv:2406.14267
  84. On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  85. 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)
  86. Plot Twist: Multimodal Models Don''t Comprehend Simple Chart Details — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  87. Pointing Out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  88. Pragmatic Norms Are All You Need – Why The Symbol Grounding Problem Does Not Apply to LLMs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  89. 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)
  90. RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting — 2024 · arXiv:2412.07675
  91. Reduce Redundancy Then Rerank: Enhancing Code Summarization with a Novel Pipeline Framework — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  92. RepMatch: Quantifying Cross-Instance Similarities in Representation Space — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  93. Representation Degeneration Problem in Prompt-based Models for Natural Language Understanding — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  94. Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  95. Self-Supervised Position Debiasing for Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  96. Self-contradictory reasoning evaluation and detection — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  97. Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  98. Sentence-Space Metrics (SSM) for the Evaluation of Sentence Comprehension — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  99. Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification — 2024 · Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
  100. Solving the Challenge Set without Solving the Task: On Winograd Schemas as a Test of Pronominal Coreference Resolution — 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning

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