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

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

1,729 vs. 1729: The Effect of Scripts and Formats on LLM Numeracy — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
Chinese Live-Streaming E-Commerce Morph Resolution: Datasets and Methods — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Compositional Meaning Representations in LLMs: a Critical Review of Probing Studies — 2026 · Proceedings of the 15th Joint Conference on Lexical and Computational Semantics (*SEM 2026)
CxMP: A Linguistic Minimal-Pair Benchmark for Evaluating Constructional Understanding in Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Dataset Cartography for Implicit Discourse Relation Recognition: Promises and Pitfalls — 2026 · Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026)
Debiasing Reward Models via Causally Motivated Inference-Time Intervention — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Different types of syntactic agreement recruit the same units within large language models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine Translation — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
Faithful Autoformalization via Roundtrip Verification and Repair — 2026 · arXiv:2604.25031
HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
Identifying the Achilles'' Heel: An Iterative Method for Uncovering Factual Errors in Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Large Language Models Are Still Misled by Simple Bias Ensembles — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
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)
Moneyball with LLMs: Analyzing Tabular Summarization in Sports Narratives — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Multi-Legal-Bench: When the Answer Is in the Input. Label Leakage in Legal Benchmarks Built from Court Registries — 2026 · arXiv:2605.29738
Out-Of-Tune rather than Fine-Tuned: How Pre-training, Fine-tuning and Tokenization Affect Semantic Similarity in a Historical, Non-Standardized Domain — 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
Position: Correct Answer, Wrong Mechanism -- When AI Scientists Defend General Claims Their Own Data Contradicts — 2026 · arXiv:2606.23175
Privacy Washing: Detecting Internal Contradictions in Privacy Policies — 2026 · arXiv:2609.02055
Qomhrá: A Bilingual Irish and English Large Language Model — 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
Shortcut Learning in Legal Judgment Prediction: Empirical Evidence from the UK Employment Tribunal — 2026 · arXiv:2607.04261
Stylistic Evolution and LLM Neutrality in Singlish Language — 2026 · arXiv:2601.06580
The Imperfective Paradox in Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
The Validity of Coreference-based Evaluations of Natural Language Understanding — 2026 · arXiv:2602.16200
There Is No Spoon: Existential Presupposition in Large Language Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human Data — 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics
An Empirical Analysis of Machine Translation for Expanding Multilingual Benchmarks — 2025 · Proceedings of the Tenth Conference on Machine Translation
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Characterizing the Role of Similarity in the Property Inferences of 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)
Construction Identification and Disambiguation Using BERT: A Case Study of NPN — 2025 · Proceedings of the 29th Conference on Computational Natural Language Learning
Constructions are Revealed in Word Distributions — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Elements of World Knowledge ( EWoK ): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models — 2025
Evaluating Syntactic Generalization in Transformer-Based Models Using Korean Honorific Agreement — 2025 · Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
LingGym: How Far Are LLMs from Thinking Like Field Linguists? — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Linguistic Generalizations are not Rules: Impacts on Evaluation of LMs — 2025 · Proceedings of the Second International Workshop on Construction Grammars and NLP
Lost in Inference: Rediscovering the Role of Natural Language Inference 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 1: Long Papers)
NeoQA: Evidence-based Question Answering with Generated News Events — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
On Reference (In-)Determinacy in Natural Language Inference — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
On Tables with Numbers, with Numbers — 2025 · Proceedings of the 1st Workshop on Language Models for Underserved Communities (LM4UC 2025)
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)
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)
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)
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)
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 Primer on the Inner Workings of Transformer-based Language Models — 2024 · arXiv:2405.00208
ALVIN: Active Learning Via INterpolation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
AMREx: AMR for Explainable Fact Verification — 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
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)
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
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
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)
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)
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
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
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
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)
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)
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)
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)
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
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
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)
Exploring Continual Learning of Compositional Generalization in NLI — 2024 · Transactions of the Association for Computational Linguistics
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)
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
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect Evidence — 2024 · Transactions of the Association for Computational Linguistics
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? — 2024 · Transactions of the Association for Computational Linguistics
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)
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)
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)
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)
LLMs Are Prone to Fallacies in Causal Inference — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Large Language Models are not Fair Evaluators — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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)
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)
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Measuring the Robustness of NLP Models to Domain Shifts — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models — 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP
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)
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
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)
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
On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations? — 2024 · arXiv:2406.14267
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)
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
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)
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting — 2024 · arXiv:2412.07675
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)
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)
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
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)
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

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