{"total":18,"rows":[{"id":"2508.21741","title":"Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance","created":"2025-08-29","cited_by_count":13,"area":null},{"id":"2506.17966","title":"LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation","created":"2025-06-22","cited_by_count":11,"area":null},{"id":"2406.14191","title":"Temporal Knowledge Graph Question Answering: A Survey","created":"2024-06-20","cited_by_count":9,"area":null},{"id":"2412.07220","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","created":"2024-12-10","cited_by_count":9,"area":null},{"id":"2509.02033","title":"StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching","created":"2025-09-02","cited_by_count":8,"area":null},{"id":"2604.10079","title":"Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models","created":"2026-04-11","cited_by_count":8,"area":null},{"id":"2501.04343","title":"TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs","created":"2025-01-08","cited_by_count":5,"area":null},{"id":"2601.17777","title":"DPI: Exploiting Parameter Heterogeneity for Interference-Free Fine-Tuning","created":"2026-01-25","cited_by_count":5,"area":null},{"id":"2605.10544","title":"Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing","created":"2026-05-11","cited_by_count":4,"area":null},{"id":"2604.14010","title":"Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning","created":"2026-04-15","cited_by_count":2,"area":null},{"id":"2505.06605","title":"Using External knowledge to Enhanced PLM for Semantic Matching","created":"2025-05-10","cited_by_count":0,"area":null},{"id":"2505.07509","title":"HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs","created":"2025-05-12","cited_by_count":0,"area":null},{"id":"2510.09224","title":"Tag-Enriched Multi-Attention with Large Language Models for Cross-Domain Sequential Recommendation","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2604.17051","title":"Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2604.25423","title":"Do LLMs Capture Embodied Cognition and Cultural Variation? Cross-Linguistic Evidence from Demonstratives","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2606.02170","title":"CRAFTQA: A Code-Driven Adaptive Framework for Complex Structured Data Reasoning","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.05181","title":"Multi-Granularity Reasoning for Natural Language Inference","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2607.17122","title":"Scope3Trace: Evidence-Based Identification and Extraction of Scope 3 GHG Emissions from Sustainability Reports","created":"2026-07-19","cited_by_count":0,"area":null}],"next_cursor":null}