Who cites «Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference» · page 4

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

Prompting for explanations improves Adversarial NLI. Is this true? \Yes\ it is \true\ because \it weakens superficial cues\ — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Pushing the Limits of ChatGPT on NLP Tasks — 2023 · arXiv:2306.09719
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Robust Natural Language Understanding with Residual Attention Debiasing — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Robust Prompt Optimization for Large Language Models Against Distribution Shifts — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
SDOH-NLI: a Dataset for Inferring Social Determinants of Health from Clinical Notes — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
SETI: Systematicity Evaluation of Textual Inference — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
SpaceNLI: Evaluating the Consistency of Predicting Inferences In Space — 2023 · Proceedings of the 4th Natural Logic Meets Machine Learning Workshop
Statistically Profiling Biases in Natural Language Reasoning Datasets and Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Stubborn Lexical Bias in Data and Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Sub-Character Tokenization for Chinese Pretrained Language Models — 2023 · Transactions of the Association for Computational Linguistics
Syntax and Geometry of Information — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests — 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP — 2023 · Proceedings of the Big Picture Workshop
The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Towards preserving word order importance through Forced Invalidation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Trained on 100 million words and still in shape: BERT meets British National Corpus — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Transformers and the Representation of Biomedical Background Knowledge — 2023 · Computational Linguistics
Translated Benchmarks Can Be Misleading: the Case of Estonian Question Answering — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
Understanding the Inner-workings of Language Models Through Representation Dissimilarity — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Unifying Large Language Models and Knowledge Graphs: A Roadmap — 2023 · arXiv:2306.08302 · IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024
What Makes Chain-of-Thought Prompting Effective? A Counterfactual Study — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
What does the Failure to Reason with ``Respectively'' in Zero/Few-Shot Settings Tell Us about Language Models? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
What's the Meaning of Superhuman Performance in Today's NLU? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
When and Why Does Bias Mitigation Work? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
WiCE: Real-World Entailment for Claims in Wikipedia — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
A Generative Approach for Mitigating Structural Biases in Natural Language Inference — 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
A Philosophically-Informed Contribution to the Generalization Problem of Neural Natural Language Inference: Shallow Heuristics, Bias, and the Varieties of Inference — 2022 · Proceedings of the 3rd Natural Logic Meets Machine Learning Workshop (NALOMA III)
A Report on the FigLang 2022 Shared Task on Understanding Figurative Language — 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)
A Survey on Automated Fact-Checking — 2022 · Transactions of the Association for Computational Linguistics
A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing — 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: Tutorial Abstracts
ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
Adaptor: Objective-Centric Adaptation Framework for Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Aligning Sentences in a Paragraph-Paraphrased Corpus with New Embedding-based Similarity Measures — 2022 · International Journal of Computational Linguistics & Chinese Language Processing, Volume 27, Number 2, December 2022
An Investigation of the (In)effectiveness of Counterfactually Augmented Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
AnaLog: Testing Analytical and Deductive Logic Learnability in Language Models — 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
Analyzing Dynamic Adversarial Training Data in the Limit — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Analyzing Multi-Task Learning for Abstractive Text Summarization — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Are Prompt-based Models Clueless? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Assessing the Limits of the Distributional Hypothesis in Semantic Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences — 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers — 2022 · Proceedings of the Natural Legal Language Processing Workshop 2022
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models — 2022 · arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj
CILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
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
Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection — 2022 · Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in NLP
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
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
DeepADA:An Attention-Based Deep Learning Framework for Augmenting Imbalanced Textual Datasets — 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)
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)
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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)
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
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