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

The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
The Overlooked Repetitive Lengthening Form in Sentiment Analysis — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Toward Compositional Behavior in Neural Models: A Survey of Current Views — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates — 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
Towards Faithful Model Explanation in NLP: A Survey — 2024 · Computational Linguistics
Towards a Framework for Evaluating Explanations in Automated Fact Verification — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
TüDuo at SemEval-2024 Task 2: Flan-T5 and Data Augmentation for Biomedical NLI — 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
Unveiling Vulnerability of Self-Attention — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Using Natural Language Explanations to Improve Robustness of In-context Learning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
What Factors Influence LLMs' Judgments? A Case Study on Question Answering — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
What Makes Language Models Good-enough? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
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)
XNLIeu: a dataset for cross-lingual NLI in Basque — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
A Close Look into the Calibration of Pre-trained Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Comprehensive Overview of Large Language Models — 2023 · arXiv:2307.06435
A fine-grained comparison of pragmatic language understanding in humans and language models — our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP — 2023 · Transactions of the Association for Computational Linguistics
Analyzing Pre-trained and Fine-tuned Language Models — 2023 · Proceedings of the Big Picture Workshop
Are Sample-Efficient NLP Models More Robust? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Assessing Monotonicity Reasoning in Dutch through Natural Language Inference — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Assessing Out-of-Domain Language Model Performance from Few Examples — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
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
Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Being Right for Whose Right Reasons? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Beyond Testers'' Biases: Guiding Model Testing with Knowledge Bases using LLMs — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Can You Follow Me? Testing Situational Understanding for ChatGPT — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Can current NLI systems handle German word order? Investigating language model performance on a new German challenge set of minimal pairs — 2023 · Proceedings of the 15th International Conference on Computational Semantics
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
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)
Counterfactual Adversarial Training for Improving Robustness of Pre-trained Language Models — 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
Cross-functional Analysis of Generalization in Behavioral Learning — 2023 · Transactions of the Association for Computational Linguistics
Curing the SICK and Other NLI Maladies — 2023 · Computational Linguistics
DISCO: Distilling Counterfactuals with Large Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Data Contamination Through the Lens of Time — 2023 · arXiv:2310.10628
Debias NLU Datasets via Training-free Perturbations — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models — 2023 · arXiv:2306.11698
Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Dissociating language and thought in large language models — 2023 · arXiv:2301.06627
Do large language models resemble humans in language use? — 2023 · arXiv:2303.08014
EconBERTa: Towards Robust Extraction of Named Entities in Economics — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Effects of Human Adversarial and Affable Samples on BERT Generalization — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve — 2023 · arXiv:2309.13638
Empirical Investigation of Neural Symbolic Reasoning Strategies — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Empower Nested Boolean Logic via Self-Supervised Curriculum Learning — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Empowering Cross-lingual Behavioral Testing of NLP Models with Typological Features — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Explanation-based Finetuning Makes Models More Robust to Spurious Cues — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
GPT-4 Can't Reason — 2023 · arXiv:2308.03762
GQG: Generalized Quantifier Generalization - A Dataset for Evaluating Quantifier Semantics Understanding in Language Models — 2023 · Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP
Generative Models as a Complex Systems Science: How can we make sense of large language model behavior? — 2023 · arXiv:2308.00189
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
How Well Do Text Embedding Models Understand Syntax? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases — 2023 · arXiv:2305.19905
HuaSLIM: Human Attention Motivated Shortcut Learning Identification and Mitigation for Large Language models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Identifying the limits of transformers when performing model-checking with natural language — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Impact of Co-occurrence on Factual Knowledge of Large Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Implications of Annotation Artifacts in Edge Probing Test Datasets — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
Improving Bias Mitigation through Bias Experts in Natural Language Understanding — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Improving the robustness of NLI models with minimax training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Investigating UD Treebanks via Dataset Difficulty Measures — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
LEXPLAIN: Improving Model Explanations via Lexicon Supervision — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
LMentry: A Language Model Benchmark of Elementary Language Tasks — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study — 2023 · Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP
Learning to translate by learning to communicate — 2023 · Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL)
Making Pre-trained Language Models both Task-solvers and Self-calibrators — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Mitigating Biases in Hate Speech Detection from A Causal Perspective — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation — 2023 · Northern European Journal of Language Technology
NLMs: Augmenting Negation in Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
On Degrees of Freedom in Defining and Testing Natural Language Understanding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
On Evaluation of Document Classification with RVL-CDIP — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
PICK: Polished & Informed Candidate Scoring for Knowledge-Grounded Dialogue Systems — 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)
PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing