{"total":62,"rows":[{"id":"2109.01247","title":"Do Prompt-Based Models Really Understand the Meaning of their Prompts?","created":"2021-09-02","cited_by_count":326,"area":null},{"id":"2104.08671","title":"When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset","created":"2021-04-18","cited_by_count":201,"area":null},{"id":"2104.06644","title":"Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little","created":"2021-04-14","cited_by_count":177,"area":null},{"id":"2108.04840","title":"Post-hoc Interpretability for Neural NLP: A Survey","created":"2021-08-10","cited_by_count":156,"area":null},{"id":"2311.11829","title":"System 2 Attention (is something you might need too)","created":"2023-11-20","cited_by_count":89,"area":null},{"id":"2109.14989","title":"Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations","created":"2021-09-30","cited_by_count":44,"area":null},{"id":"2211.00768","title":"Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality","created":"2022-11-01","cited_by_count":44,"area":null},{"id":"2203.10995","title":"Word Order Does Matter (And Shuffled Language Models Know It)","created":"2022-03-21","cited_by_count":32,"area":null},{"id":"2104.07179","title":"Does Putting a Linguist in the Loop Improve NLU Data Collection?","created":"2021-04-15","cited_by_count":29,"area":null},{"id":"2203.10326","title":"Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models","created":"2022-03-19","cited_by_count":28,"area":null},{"id":"2202.12246","title":"Neural reality of argument structure constructions","created":"2022-02-24","cited_by_count":25,"area":null},{"id":"2103.03872","title":"Rissanen Data Analysis: Examining Dataset Characteristics via Description Length","created":"2021-03-05","cited_by_count":22,"area":null},{"id":"2410.20245","title":"Improving Model Evaluation using SMART Filtering of Benchmark Datasets","created":"2024-10-26","cited_by_count":21,"area":null},{"id":"2406.11687","title":"Tokenization Falling Short: On Subword Robustness in Large Language Models","created":"2024-06-17","cited_by_count":20,"area":null},{"id":"2112.13884","title":"A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision","created":"2021-12-27","cited_by_count":19,"area":null},{"id":"2301.09071","title":"Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding","created":"2023-01-22","cited_by_count":19,"area":null},{"id":"2311.18805","title":"Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text","created":"2023-11-30","cited_by_count":19,"area":null},{"id":"2306.12213","title":"Limits for Learning with Language Models","created":"2023-06-21","cited_by_count":17,"area":null},{"id":"2210.15221","title":"TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack","created":"2022-10-27","cited_by_count":15,"area":null},{"id":"2208.04826","title":"Compositional Evaluation on Japanese Textual Entailment and Similarity","created":"2022-08-09","cited_by_count":14,"area":null},{"id":"2212.00596","title":"Language models and brains align due to more than next-word prediction and word-level information","created":"2022-12-01","cited_by_count":14,"area":null},{"id":"2401.14440","title":"Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models","created":"2024-01-25","cited_by_count":14,"area":null},{"id":"2408.09639","title":"How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments","created":"2024-08-19","cited_by_count":14,"area":null},{"id":"2210.07547","title":"Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding","created":"2022-10-14","cited_by_count":11,"area":null},{"id":"2403.00758","title":"Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training","created":"2024-03-01","cited_by_count":11,"area":null},{"id":"2107.13955","title":"Local Structure Matters Most: Perturbation Study in NLU","created":"2021-07-29","cited_by_count":10,"area":null},{"id":"2109.14017","title":"Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations","created":"2021-09-28","cited_by_count":10,"area":null},{"id":"2205.03815","title":"Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence","created":"2022-05-08","cited_by_count":10,"area":null},{"id":"2109.04867","title":"Studying word order through iterative shuffling","created":"2021-09-10","cited_by_count":9,"area":null},{"id":"2109.08207","title":"Numerical reasoning in machine reading comprehension tasks: are we there yet?","created":"2021-09-16","cited_by_count":9,"area":null},{"id":"2306.06205","title":"Morphosyntactic probing of multilingual BERT models","created":"2023-06-09","cited_by_count":8,"area":null},{"id":"2110.08887","title":"Schr\\\"odinger's Tree -- On Syntax and Neural Language Models","created":"2021-10-17","cited_by_count":6,"area":null},{"id":"2402.00149","title":"The Impact of Language Adapters in Cross-Lingual Transfer for NLU","created":"2024-01-31","cited_by_count":6,"area":null},{"id":"2407.09184","title":"Does Incomplete Syntax Influence Korean Language Model? Focusing on Word Order and Case Markers","created":"2024-07-12","cited_by_count":6,"area":null},{"id":"2503.19260","title":"Linguistic Blind Spots of Large Language Models","created":"2025-03-25","cited_by_count":6,"area":null},{"id":"2310.15541","title":"Improving Language Models Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary","created":"2023-10-24","cited_by_count":4,"area":null},{"id":"2104.07623","title":"Sometimes We Want Translationese","created":"2021-04-15","cited_by_count":3,"area":null},{"id":"2108.13602","title":"How Does Adversarial Fine-Tuning Benefit BERT?","created":"2021-08-31","cited_by_count":3,"area":null},{"id":"2209.12352","title":"Smells like Teen Spirit: An Exploration of Sensorial Style in Literary Genres","created":"2022-09-26","cited_by_count":3,"area":null},{"id":"2305.08524","title":"Measuring Consistency in Text-based Financial Forecasting Models","created":"2023-05-15","cited_by_count":3,"area":null},{"id":"2403.02009","title":"Topic Aware Probing: From Sentence Length Prediction to Idiom Identification how reliant are Neural Language Models on Topic?","created":"2024-03-04","cited_by_count":3,"area":null},{"id":"2407.12470","title":"Continual Learning for Temporal-Sensitive Question Answering","created":"2024-07-17","cited_by_count":3,"area":null},{"id":"2211.05015","title":"Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes","created":"2022-11-09","cited_by_count":2,"area":null},{"id":"2304.05221","title":"Towards preserving word order importance through Forced Invalidation","created":"2023-04-11","cited_by_count":2,"area":null},{"id":"2503.13305","title":"Computation Mechanism Behind LLM Position Generalization","created":"2025-03-17","cited_by_count":2,"area":null},{"id":"2207.02522","title":"The Role of Complex NLP in Transformers for Text Ranking?","created":"2022-07-06","cited_by_count":1,"area":null},{"id":"2211.05025","title":"Local Structure Matters Most in Most Languages","created":"2022-11-09","cited_by_count":1,"area":null},{"id":"2307.07412","title":"HuCurl: Human-induced Curriculum Discovery","created":"2023-07-14","cited_by_count":1,"area":null},{"id":"2402.18838","title":"When does word order matter and when doesn't it?","created":"2024-02-29","cited_by_count":1,"area":null},{"id":"2601.19926","title":"The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models","created":"2026-01-09","cited_by_count":1,"area":null},{"id":"2608.00991","title":"SCHEDBench: A Benchmark for Evaluating LLM Constraint Faithfulness in Natural-Language Combinatorial Scheduling","created":"2026-08-02","cited_by_count":1,"area":null},{"id":"2206.00192","title":"Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models","created":"2022-06-01","cited_by_count":0,"area":null},{"id":"2211.16093","title":"Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering","created":"2022-11-29","cited_by_count":0,"area":null},{"id":"2305.02865","title":"CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing","created":"2023-05-04","cited_by_count":0,"area":null},{"id":"2306.02302","title":"Does Character-level Information Always Improve DRS-based Semantic Parsing?","created":"2023-06-04","cited_by_count":0,"area":null},{"id":"2411.05665","title":"Exploring the Limits of Large Language Models: A Systematic Evaluation of Masked Text Processing Ability through MskQA and MskCal","created":"2024-11-08","cited_by_count":0,"area":null},{"id":"2502.09213","title":"Neuro-Symbolic Contrastive Learning for Cross-domain Inference","created":"2025-02-13","cited_by_count":0,"area":null},{"id":"2503.17632","title":"FairFlow: Mitigating Dataset Biases through Undecided Learning","created":"2025-03-22","cited_by_count":0,"area":null},{"id":"2504.09886","title":"Investigating Syntactic Biases in Multilingual Transformers with RC Attachment Ambiguities in Italian and English","created":"2025-04-14","cited_by_count":0,"area":null},{"id":"2608.00014","title":"CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2608.28283","title":"Embedding Models for Stance-Aware Argument Retrieval","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2610.16547","title":"Know Yourself and Know Your Neighbour: A Syntactically Informed Self-Supervised Compositional Sentence Representation Learning Framework using a Recursive Hypernetwork","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}