{"total":18,"rows":[{"id":"2410.03751","title":"Recent Advances in Speech Language Models: A Survey","created":"2024-10-01","cited_by_count":87,"area":null},{"id":"2406.05335","title":"Phase transition in large language models and the criticality of natural languages","created":"2024-06-08","cited_by_count":13,"area":null},{"id":"2411.06096","title":"A Systematic Assessment of Language Models with Linguistic Minimal Pairs in Chinese","created":"2024-11-09","cited_by_count":13,"area":null},{"id":"2503.03862","title":"Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions","created":"2025-03-05","cited_by_count":12,"area":null},{"id":"2412.14471","title":"Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs","created":"2024-12-19","cited_by_count":4,"area":null},{"id":"2505.15353","title":"Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2604.02102","title":"Prosodic ABX: A Language-Agnostic Method for Measuring Prosodic Contrast in Speech Representations","created":"2026-04-02","cited_by_count":3,"area":null},{"id":"2407.15828","title":"J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling","created":"2024-07-22","cited_by_count":2,"area":null},{"id":"2506.04527","title":"Grapheme-Coherent Phonemic and Prosodic Annotation of Speech by Implicit and Explicit Grapheme Conditioning","created":"2025-06-05","cited_by_count":2,"area":null},{"id":"2603.18037","title":"Adapting Methods for Domain-Specific Japanese Small LMs: Scale, Architecture, and Quantization","created":"2026-03-12","cited_by_count":2,"area":null},{"id":"2412.15907","title":"Development of a Large-scale Dataset of Chest Computed Tomography Reports in Japanese and a High-performance Finding Classification Model","created":"2024-12-20","cited_by_count":1,"area":null},{"id":"2509.20237","title":"Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models","created":"2025-09-24","cited_by_count":1,"area":null},{"id":"2602.01479","title":"Ebisu: Benchmarking Large Language Models in Japanese Finance","created":"2026-02-01","cited_by_count":1,"area":null},{"id":"2604.27468","title":"Syntactically-guided Information Maintenance in Sentence Comprehension","created":"2026-04-30","cited_by_count":1,"area":null},{"id":"2404.08262","title":"Pretraining and Updates of Domain-Specific LLM: A Case Study in the Japanese Business Domain","created":"2024-04-12","cited_by_count":0,"area":null},{"id":"2408.11349","title":"Image Score: Learning and Evaluating Human Preferences for Mercari Search","created":"2024-08-21","cited_by_count":0,"area":null},{"id":"2510.19419","title":"BLiSS 1.0: Evaluating Bilingual Learner Competence in Second Language Small Language Models","created":"2025-10-22","cited_by_count":0,"area":null},{"id":"2606.28728","title":"Improving Large-Scale Weakly Supervised ASR by Filtering and Selection","created":"2026-06-27","cited_by_count":0,"area":null}],"next_cursor":null}