Who cites «Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference» · page 3

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

CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Can Explanations Be Useful for Calibrating Black Box Models? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory — 2022 · Proceedings of the Third Workshop on Insights from Negative Results in NLP
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Combining Feature and Instance Attribution to Detect Artifacts — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey — 2022 · arXiv:2201.12438
Compositional Evaluation on Japanese Textual Entailment and Similarity — 2022 · Transactions of the Association for Computational Linguistics
Context Matters: A Pragmatic Study of PLMs'' Negation Understanding — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
DRLK: Dynamic Hierarchical Reasoning with Language Model and Knowledge Graph for Question Answering — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation — 2022 · Transactions of the Association for Computational Linguistics
DataLab: A Platform for Data Analysis and Intervention — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Decomposing Natural Logic Inferences for Neural NLI — 2022 · Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Discovering Language Model Behaviors with Model-Written Evaluations — 2022 · arXiv:2212.09251
Distributionally Robust Finetuning BERT for Covariate Drift in Spoken Language Understanding — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Do Prompt-Based Models Really Understand the Meaning of Their Prompts? — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Does Self-Rationalization Improve Robustness to Spurious Correlations? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
ER-Test: Evaluating Explanation Regularization Methods for Language Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5 — 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)
Enhancing Tabular Reasoning with Pattern Exploiting Training — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Enhancing the Transformer Decoder with Transition-based Syntax — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
Entailment Relation Aware Paraphrase Generation — 2022 · arXiv:2203.10483
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark — 2022 · Transactions of the Association for Computational Linguistics
Event knowledge in large language models: the gap between the impossible and the unlikely — 2022 · arXiv:2212.01488
Exploring Length Generalization in Large Language Models — 2022 · arXiv:2207.04901
Exposing the Limits of Video-Text Models through Contrast Sets — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
FLUTE: Figurative Language Understanding through Textual Explanations — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Holistic Evaluation of Language Models — 2022 · arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
IMPLI: Investigating NLI Models'' Performance on Figurative Language — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Instruction Induction: From Few Examples to Natural Language Task Descriptions — 2022 · arXiv:2205.10782
Interventional Training for Out-Of-Distribution Natural Language Understanding — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Investigating Reasons for Disagreement in Natural Language Inference — 2022 · Transactions of the Association for Computational Linguistics
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Is Character Trigram Overlapping Ratio Still the Best Similarity Measure for Aligning Sentences in a Paraphrased Corpus? — 2022 · Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
KoBEST: Korean Balanced Evaluation of Significant Tasks — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Language Models Are Poor Learners of Directional Inference — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations — 2022 · arXiv:2204.02937
Legal Prompt Engineering for Multilingual Legal Judgement Prediction — 2022 · arXiv:2212.02199
Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Lexical Generalization Improves with Larger Models and Longer Training — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Life after BERT: What do Other Muppets Understand about Language? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering — 2022 · Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Machine Reading, Fast and Slow: When Do Models ``Understand'''' Language? — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Measure and Improve Robustness in NLP Models: A Survey — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Mitigating Dataset Artifacts in Natural Language Inference Through Automatic Contextual Data Augmentation and Learning Optimization — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
Mitigating Spurious Correlation in Natural Language Understanding with Counterfactual Inference — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
On Length Divergence Bias in Textual Matching Models — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
On the data requirements of probing — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
One Wug, Two Wug+s Transformer Inflection Models Hallucinate Affixes — 2022 · Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages
Partial-input baselines show that NLI models can ignore context, but they don't. — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Predicting Fine-Tuning Performance with Probing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Probing for targeted syntactic knowledge through grammatical error detection — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Prompting GPT-3 To Be Reliable — 2022 · arXiv:2210.09150
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text — 2022 · arXiv:2202.06935
Retrieval-guided Counterfactual Generation for QA — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
SEAL: Interactive Tool for Systematic Error Analysis and Labeling — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Semantically Distributed Robust Optimization for Vision-and-Language Inference — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Shortcut Learning of Large Language Models in Natural Language Understanding — 2022 · arXiv:2208.11857
Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
State-of-the-art generalisation research in NLP: A taxonomy and review — 2022 · arXiv:2210.03050 · Nat Mach Intell 5, 1161-1174 (2023)
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations — 2022 · Transactions of the Association for Computational Linguistics
Tailor: Generating and Perturbing Text with Semantic Controls — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Text Characterization Toolkit (TCT) — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
The Chinese Causative-Passive Homonymy Disambiguation: an adversarial Dataset for NLI and a Probing Task — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
The Grammar-Learning Trajectories of Neural Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Towards Better Characterization of Paraphrases — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns — 2022 · arXiv:2201.07614
Unveiling Transformers with LEGO: a synthetic reasoning task — 2022 · arXiv:2206.04301

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