{"total":22,"rows":[{"id":"2405.05904","title":"Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?","created":"2024-05-09","cited_by_count":232,"area":null},{"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":"2406.15720","title":"Scaling Laws for Fact Memorization of Large Language Models","created":"2024-06-22","cited_by_count":33,"area":null},{"id":"2411.11027","title":"BianCang: A Traditional Chinese Medicine Large Language Model","created":"2024-11-17","cited_by_count":12,"area":null},{"id":"2407.10804","title":"Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment","created":"2024-07-15","cited_by_count":7,"area":null},{"id":"2509.16596","title":"Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels","created":"2025-09-20","cited_by_count":7,"area":null},{"id":"2410.22944","title":"Focus On This, Not That! Steering LLMs with Adaptive Feature Specification","created":"2024-10-30","cited_by_count":5,"area":null},{"id":"2505.15480","title":"KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2409.13191","title":"Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management","created":"2024-09-20","cited_by_count":2,"area":null},{"id":"2409.15825","title":"60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering","created":"2024-09-24","cited_by_count":2,"area":null},{"id":"2412.16686","title":"NILE: Internal Consistency Alignment in Large Language Models","created":"2024-12-21","cited_by_count":2,"area":null},{"id":"2510.03528","title":"Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance","created":"2025-10-03","cited_by_count":2,"area":null},{"id":"2604.11838","title":"A Layer-wise Analysis of Supervised Fine-Tuning","created":"2026-04-12","cited_by_count":2,"area":null},{"id":"2408.09327","title":"Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs","created":"2024-08-18","cited_by_count":1,"area":null},{"id":"2503.20508","title":"Explainable ICD Coding via Entity Linking","created":"2025-03-26","cited_by_count":1,"area":null},{"id":"2505.21958","title":"Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2503.15924","title":"Towards Automatic Continual Learning: A Self-Adaptive Framework for Continual Instruction Tuning","created":"2025-03-20","cited_by_count":0,"area":null},{"id":"2509.07311","title":"Does This Look Familiar to You? Knowledge Analysis via Model Internal Representations","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2603.16245","title":"How to Utilize Complementary Vision-Text Information for 2D Structure Understanding","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2604.05779","title":"What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When to Say \"I Don't Know\"","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2606.01967","title":"Training Prompt Matters: State-Adaptive Optimization for Robust Fine-Tuning","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.19346","title":"Disentangling Linguistic Relatedness from Task Alignment in Cross-Lingual Transfer","created":"2026-04-26","cited_by_count":0,"area":null}],"next_cursor":null}