{"total":19,"rows":[{"id":"2407.15017","title":"Knowledge Mechanisms in Large Language Models: A Survey and Perspective","created":"2024-07-22","cited_by_count":51,"area":null},{"id":"2402.16998","title":"What Do Language Models Hear? Probing for Auditory Representations in Language Models","created":"2024-02-26","cited_by_count":15,"area":null},{"id":"2402.11005","title":"A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive","created":"2024-02-16","cited_by_count":8,"area":null},{"id":"2410.01779","title":"Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets","created":"2024-10-02","cited_by_count":6,"area":null},{"id":"2402.19350","title":"Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process","created":"2024-02-29","cited_by_count":4,"area":null},{"id":"2506.01042","title":"Probing Neural Topology of Large Language Models","created":"2025-06-01","cited_by_count":4,"area":null},{"id":"2603.06603","title":"Scale Dependent Data Duplication","created":"2026-02-18","cited_by_count":4,"area":null},{"id":"2306.11943","title":"Towards Understanding What Code Language Models Learned","created":"2023-06-20","cited_by_count":3,"area":null},{"id":"2510.16815","title":"Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities","created":"2025-10-19","cited_by_count":2,"area":null},{"id":"2407.13765","title":"Latent Causal Probing: A Formal Perspective on Probing with Causal Models of Data","created":"2024-07-18","cited_by_count":1,"area":null},{"id":"2505.20874","title":"Can LLMs Learn to Map the World from Local Descriptions?","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2605.09693","title":"Do multimodal models imagine electric sheep?","created":"2026-05-10","cited_by_count":1,"area":null},{"id":"2608.08266","title":"On the Robustness of LLMs' Internal Representation of Code Correctness","created":"2026-08-08","cited_by_count":1,"area":null},{"id":"2410.18160","title":"Future Token Prediction -- Causal Language Modelling with Per-Token Semantic State Vector for Multi-Token Prediction","created":"2024-10-23","cited_by_count":0,"area":null},{"id":"2603.14087","title":"Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors","created":"2026-03-14","cited_by_count":0,"area":null},{"id":"2607.11953","title":"When Does Reward Teach State? A Hidden-Automaton Instrument and a Group-Language Warning Signal","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2608.23248","title":"Future Querying: Can LLMs Serve as Implicit Medical World Models?","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.36952","title":"ER-JEPA: Experience Replay Improves Joint-Embedding Predictive Learning in Language Models","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.19238","title":"LLMs program using Reusable and Composable Abstract Representations","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}