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
- From Lemmas to Dependencies: What Signals Drive Light Verbs Classification? — 2026 · Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026)
- MathAdv: What Theorem Provers Know, Reason, Formalize, and Generalize — 2026 · arXiv:2608.25449
- 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)
- NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO — 2026 · arXiv:2607.03957
- 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)
- STaD: Scaffolded Task Design for Identifying Compositional Skill Gaps in LLMs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- 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)
- 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)
- 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)
- Who Benchmarks the Benchmarks? A Case Study of LLM Evaluation in Icelandic — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- 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)
- An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems — 2025 · arXiv:2508.08833
- 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
- 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)
- Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- 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
- Glider: Global and Local Instruction-Driven Expert Router — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- 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)
- Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- 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
- MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- NeoQA: Evidence-based Question Answering with Generated News Events — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- 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)
- On Guardrail Models' Robustness to Mutations and Adversarial Attacks — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- 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)
- 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
- Revisiting Implicitly Abusive Language Detection: Evaluating LLMs in Zero-Shot and Few-Shot Settings — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- 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)
- 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
- 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
- What Has Been Lost with Synthetic Evaluation? — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- 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)
- 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
- 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
- A Survey on Natural Language Counterfactual Generation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- 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)
- 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)
- 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
- Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards — 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP
- 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)
- CEval: A Benchmark for Evaluating Counterfactual Text Generation — 2024 · Proceedings of the 17th International Natural Language Generation Conference
- 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)
- 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)
- Cutting Through the Noise: Boosting LLM Performance on Math Word Problems — our card · 2024 · arXiv:2406.15444
- 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)
- 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)
- 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)
- Efficient Lifelong Model Evaluation in an Era of Rapid Progress — 2024 · arXiv:2402.19472
- 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)
- 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)
- GuardBench: A Large-Scale Benchmark for Guardrail Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? — 2024 · Transactions of the Association for Computational Linguistics
- 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)
- LJPCheck: Functional Tests for Legal Judgment Prediction — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- 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)
- 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
- 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
- Optimal and efficient text counterfactuals using Graph Neural Networks — 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
- 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)
- 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)
- RORA: Robust Free-Text Rationale Evaluation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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)
- Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders — 2024 · Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024)
- 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
- SynthEval: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- The Art of Saying No: Contextual Noncompliance in Language Models — 2024 · arXiv:2407.12043
- 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)
- 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
- 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
- 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)
- A Multilingual Evaluation of NER Robustness to Adversarial Inputs — 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)
- A Pretrainer''s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity — 2023 · arXiv:2305.13169
- A State-Vector Framework for Dataset Effects — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- An Overview Of Temporal Commonsense Reasoning and Acquisition — 2023 · arXiv:2308.00002
- 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
- Benchmarking Long-tail Generalization with Likelihood Splits — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- 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)
- 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)
- 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)
- 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
- 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)
- 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)
- 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 Curation Alone Can Stabilize In-context Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Deductive Additivity for Planning of Natural Language Proofs — 2023 · Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)
- DistillCSE: Distilled Contrastive Learning for Sentence Embeddings — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- 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
- 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
- Effects of Human Adversarial and Affable Samples on BERT Generalization — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- 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
- Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- 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)
- Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions — 2023 · Transactions of the Association for Computational Linguistics
- Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases — 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