{"total":20,"rows":[{"id":"2102.01017","title":"Measuring and Improving Consistency in Pretrained Language Models","created":"2021-02-01","cited_by_count":364,"area":null},{"id":"2106.07139","title":"Pre-Trained Models: Past, Present and Future","created":"2021-06-14","cited_by_count":319,"area":null},{"id":"2110.08182","title":"The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color","created":"2021-10-15","cited_by_count":32,"area":null},{"id":"2104.05837","title":"Relational World Knowledge Representation in Contextual Language Models: A Review","created":"2021-04-12","cited_by_count":31,"area":null},{"id":"2101.12294","title":"Combining pre-trained language models and structured knowledge","created":"2021-01-28","cited_by_count":25,"area":null},{"id":"2210.01963","title":"COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models","created":"2022-10-05","cited_by_count":15,"area":null},{"id":"2104.09400","title":"Probing for Bridging Inference in Transformer Language Models","created":"2021-04-19","cited_by_count":14,"area":null},{"id":"2407.11015","title":"Does ChatGPT Have a Mind?","created":"2024-06-27","cited_by_count":14,"area":null},{"id":"2104.10833","title":"Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations","created":"2021-04-22","cited_by_count":13,"area":null},{"id":"2205.06910","title":"A Property Induction Framework for Neural Language Models","created":"2022-05-13","cited_by_count":9,"area":null},{"id":"2202.09166","title":"Evaluating the Construct Validity of Text Embeddings with Application to Survey Questions","created":"2022-02-18","cited_by_count":7,"area":null},{"id":"2104.08410","title":"Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models","created":"2021-04-17","cited_by_count":2,"area":null},{"id":"2109.09309","title":"Commonsense Knowledge in Word Associations and ConceptNet","created":"2021-09-20","cited_by_count":2,"area":null},{"id":"2208.11981","title":"On Reality and the Limits of Language Data: Aligning LLMs with Human Norms","created":"2022-08-25","cited_by_count":2,"area":null},{"id":"2302.05406","title":"Adversarial Transformer Language Models for Contextual Commonsense Inference","created":"2023-02-10","cited_by_count":2,"area":null},{"id":"2102.00924","title":"Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge","created":"2021-02-01","cited_by_count":1,"area":null},{"id":"2305.14630","title":"Testing Causal Models of Word Meaning in GPT-3 and -4","created":"2023-05-24","cited_by_count":1,"area":null},{"id":"2410.02202","title":"Can Language Models Take A Hint? Prompting for Controllable Contextualized Commonsense Inference","created":"2024-10-03","cited_by_count":1,"area":null},{"id":"2101.06573","title":"Understanding in Artificial Intelligence","created":"2021-01-17","cited_by_count":0,"area":null},{"id":"2404.01992","title":"Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models","created":"2024-04-02","cited_by_count":0,"area":null}],"next_cursor":null}