{"total":28,"rows":[{"id":"2410.04962","title":"Activation Scaling for Steering and Interpreting Language Models","created":"2024-10-07","cited_by_count":35,"area":null},{"id":"2405.10313","title":"How Far Are We From AGI: Are LLMs All We Need?","created":"2024-05-16","cited_by_count":31,"area":null},{"id":"2504.03022","title":"The Dual-Route Model of Induction","created":"2025-04-03","cited_by_count":24,"area":null},{"id":"2510.18871","title":"How Do LLMs Use Their Depth?","created":"2025-10-21","cited_by_count":16,"area":null},{"id":"2505.17505","title":"L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models","created":"2025-05-23","cited_by_count":15,"area":null},{"id":"2504.01928","title":"Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure","created":"2025-04-02","cited_by_count":13,"area":null},{"id":"2409.06328","title":"Extracting Paragraphs from LLM Token Activations","created":"2024-09-10","cited_by_count":9,"area":null},{"id":"2407.10735","title":"Transforming Agency. On the mode of existence of Large Language Models","created":"2024-07-15","cited_by_count":7,"area":null},{"id":"2604.12493","title":"Latent Planning Emerges with Scale","created":"2026-04-14","cited_by_count":6,"area":null},{"id":"2504.11336","title":"Looking beyond the next token","created":"2025-04-15","cited_by_count":5,"area":null},{"id":"2407.14055","title":"Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers","created":"2024-07-19","cited_by_count":4,"area":null},{"id":"2410.01440","title":"Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling","created":"2024-10-02","cited_by_count":4,"area":null},{"id":"2503.10542","title":"Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More","created":"2025-03-13","cited_by_count":3,"area":null},{"id":"2504.18048","title":"Modes of Sequence Models and Learning Coefficients","created":"2025-04-25","cited_by_count":3,"area":null},{"id":"2607.01218","title":"The State-Prediction Separation Hypothesis","created":"2026-07-01","cited_by_count":3,"area":null},{"id":"2508.18098","title":"Detecting and Characterizing Planning in Language Models","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2511.00180","title":"ParaScopes: What do Language Models Activations Encode About Future Text?","created":"2025-10-31","cited_by_count":2,"area":null},{"id":"2407.11421","title":"States Hidden in Hidden States: Implicit Discrete State Representations Emerge in LLMs' Hidden States","created":"2024-07-16","cited_by_count":1,"area":null},{"id":"2509.25260","title":"Internal Planning in Language Models: Characterizing Horizon and Branch Awareness","created":"2025-09-28","cited_by_count":1,"area":null},{"id":"2605.01846","title":"Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation","created":"2026-05-03","cited_by_count":1,"area":null},{"id":"2608.09093","title":"The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora","created":"2026-08-10","cited_by_count":1,"area":null},{"id":"2505.21552","title":"Understanding the learned look-ahead behavior of chess neural networks","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2602.02991","title":"Large Language Models Can Take False First Steps at Inference-time Planning","created":"2026-02-03","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":"2603.17942","title":"Efficient Training-Free Multi-Token Prediction via Embedding-Space Probing","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2609.01386","title":"When Tokenization is Secretly Output Supervision","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2610.05597","title":"More Than Words: Compositional Tokenization for Efficient Language Models","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.18121","title":"Narrative Lookahead in LLMs: Event-Level Decodability, Predictive Advantage, and Steering","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}