{"total":22,"rows":[{"id":"2507.07955","title":"Dynamic Chunking for End-to-End Hierarchical Sequence Modeling","created":"2025-07-10","cited_by_count":72,"area":null},{"id":"2502.12982","title":"Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs","created":"2025-02-18","cited_by_count":18,"area":null},{"id":"2510.18091","title":"Accelerating Vision Transformers with Adaptive Patch Sizes","created":"2025-10-20","cited_by_count":13,"area":null},{"id":"2509.18750","title":"False Friends Are Not Foes: Investigating Vocabulary Overlap in Multilingual Language Models","created":"2025-09-23","cited_by_count":11,"area":null},{"id":"2512.15586","title":"Bolmo: Byteifying the Next Generation of Language Models","created":"2025-12-17","cited_by_count":9,"area":null},{"id":"2604.07466","title":"Cross-Tokenizer LLM Distillation through a Byte-Level Interface","created":"2026-04-08","cited_by_count":8,"area":null},{"id":"2504.02122","title":"Overcoming Vocabulary Constraints with Pixel-level Fallback","created":"2025-04-02","cited_by_count":6,"area":null},{"id":"2504.01137","title":"Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models","created":"2025-04-01","cited_by_count":4,"area":null},{"id":"2602.04289","title":"Proxy Compression for Language Modeling","created":"2026-02-04","cited_by_count":3,"area":null},{"id":"2605.08044","title":"Fast Byte Latent Transformer","created":"2026-05-08","cited_by_count":3,"area":null},{"id":"2510.07613","title":"Vocabulary embeddings organize linguistic structure early in language model training","created":"2025-10-08","cited_by_count":2,"area":null},{"id":"2606.20993","title":"Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic Alphabet","created":"2026-06-18","cited_by_count":2,"area":null},{"id":"2506.04567","title":"StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation","created":"2025-06-05","cited_by_count":1,"area":null},{"id":"2603.03583","title":"ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer","created":"2026-03-03","cited_by_count":1,"area":null},{"id":"2507.12769","title":"Synergy: End-to-end Concept Model","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2602.17739","title":"GeneZip: Region-Aware Compression for Long Context DNA Modeling","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2602.21377","title":"Beyond Subtokens: A Rich Character Embedding for Low-resource and Morphologically Complex Languages","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2603.15953","title":"A Family of LLMs Liberated from Static Vocabularies","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2608.22760","title":"ByteAction: Byte-space Action Recognition Foundation Model","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.15991","title":"The Functionalizer: Lossless Functional Decomposition for Subword Tokenization","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2609.27233","title":"Distilling Sequential Computation in Transformer Language Models","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2610.11790","title":"Easy to anticipate, hard to compute: boundary dependence finds the computed outputs that entropy patching misses","created":"2026-10-08","cited_by_count":0,"area":null}],"next_cursor":null}