{"total":16,"rows":[{"id":"2411.17501","title":"The Limits of Inference Scaling Through Resampling","created":"2024-11-26","cited_by_count":53,"area":null},{"id":"2312.07622","title":"Mathematical Language Models: A Survey","created":"2023-12-12","cited_by_count":24,"area":null},{"id":"2405.01964","title":"Position: Understanding LLMs Requires More Than Statistical Generalization","created":"2024-05-03","cited_by_count":21,"area":null},{"id":"2405.17830","title":"More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs","created":"2024-05-28","cited_by_count":21,"area":null},{"id":"2311.16254","title":"Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models","created":"2023-11-27","cited_by_count":12,"area":null},{"id":"2410.15580","title":"Language Models are Symbolic Learners in Arithmetic","created":"2024-10-21","cited_by_count":11,"area":null},{"id":"2509.03057","title":"Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models","created":"2025-09-03","cited_by_count":9,"area":null},{"id":"2402.10979","title":"SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs","created":"2024-02-15","cited_by_count":8,"area":null},{"id":"2508.00180","title":"EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes","created":"2025-07-31","cited_by_count":3,"area":null},{"id":"2410.13029","title":"When Not to Answer: Evaluating Prompts on GPT Models for Effective Abstention in Unanswerable Math Word Problems","created":"2024-10-16","cited_by_count":2,"area":null},{"id":"2503.00035","title":"Constraining Sequential Model Editing with Editing Anchor Compression","created":"2025-02-25","cited_by_count":2,"area":null},{"id":"2507.08425","title":"A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities","created":"2025-07-11","cited_by_count":2,"area":null},{"id":"2503.03960","title":"Performance Comparison of Large Language Models on Advanced Calculus Problems","created":"2025-03-05","cited_by_count":1,"area":null},{"id":"2602.00034","title":"Synthetic Student Responses: LLM-Extracted Features for IRT Difficulty Parameter Estimation","created":"2026-01-18","cited_by_count":1,"area":null},{"id":"2405.12100","title":"DOP: Diagnostic-Oriented Prompting for Large Language Models in Mathematical Correction","created":"2024-05-20","cited_by_count":0,"area":null},{"id":"2412.03446","title":"From Words to Workflows: Automating Business Processes","created":"2024-12-04","cited_by_count":0,"area":null}],"next_cursor":null}