{"total":23,"rows":[{"id":"2109.06437","title":"Uncovering Implicit Gender Bias in Narratives through Commonsense Inference","created":"2021-09-14","cited_by_count":32,"area":null},{"id":"2210.12170","title":"Discovering Differences in the Representation of People using Contextualized Semantic Axes","created":"2022-10-21","cited_by_count":12,"area":null},{"id":"2104.08829","title":"Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity","created":"2021-04-18","cited_by_count":9,"area":null},{"id":"2301.04704","title":"SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings","created":"2023-01-11","cited_by_count":9,"area":null},{"id":"2408.07237","title":"A semantic embedding space based on large language models for modelling human beliefs","created":"2024-08-13","cited_by_count":9,"area":null},{"id":"2401.06112","title":"Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings","created":"2024-01-11","cited_by_count":6,"area":null},{"id":"2404.02619","title":"Adjusting Interpretable Dimensions in Embedding Space with Human Judgments","created":"2024-04-03","cited_by_count":4,"area":null},{"id":"2411.16527","title":"Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word Embeddings","created":"2024-11-25","cited_by_count":3,"area":null},{"id":"2212.04130","title":"The Ordered Matrix Dirichlet for State-Space Models","created":"2022-12-08","cited_by_count":2,"area":null},{"id":"2505.08348","title":"Geometry of Semantics in Next-Token Prediction: How Optimization Implicitly Organizes Linguistic Representations","created":"2025-05-13","cited_by_count":2,"area":null},{"id":"2212.07547","title":"Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology","created":"2022-12-14","cited_by_count":1,"area":null},{"id":"2607.27824","title":"STEREODISCO: Discovering Stereotypicality in LLMs","created":"2026-07-30","cited_by_count":1,"area":null},{"id":"2104.05928","title":"Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders","created":"2021-04-13","cited_by_count":0,"area":null},{"id":"2112.12327","title":"Making sense of electrical vehicle discussions using sentiment analysis on closely related news and user comments","created":"2021-12-23","cited_by_count":0,"area":null},{"id":"2210.02334","title":"Using Full-Text Content to Characterize and Identify Best Seller Books","created":"2022-10-05","cited_by_count":0,"area":null},{"id":"2307.07864","title":"CIDER: Context sensitive sentiment analysis for short-form text","created":"2023-07-15","cited_by_count":0,"area":null},{"id":"2310.09618","title":"Moral consensus and divergence in partisan language use","created":"2023-10-14","cited_by_count":0,"area":null},{"id":"2311.06310","title":"Labor Space: A Unifying Representation of the Labor Market via Large Language Models","created":"2023-11-09","cited_by_count":0,"area":null},{"id":"2312.05990","title":"Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Appeals","created":"2023-12-10","cited_by_count":0,"area":null},{"id":"2407.07683","title":"The Language of Weather: Social Media Reactions to Weather Accounting for Climatic and Linguistic Baselines","created":"2024-07-10","cited_by_count":0,"area":null},{"id":"2409.11170","title":"Capturing Differences in Character Representations Between Communities: An Initial Study with Fandom","created":"2024-09-17","cited_by_count":0,"area":null},{"id":"2505.08706","title":"Big Data and the Computational Social Science of Entrepreneurship and Innovation","created":"2025-05-13","cited_by_count":0,"area":null},{"id":"2610.18820","title":"Read the Room Before Your Model Generates","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}