3 papers
cs.CL2026
Beyond the Needle's Illusion: Decoupled Evaluation of Evidence Access and Use under Semantic Interference at 326M-Token Scale
Tianwei Lin, Zuyi Zhou, Xinda Zhao +6
Long-context LLM agents must access the right evidence from large environments and use it faithfully. However, the popular Needle-in-a-Haystack (NIAH) evaluation mostly measures be…
cs.CL2025
TsqLoRA: Towards Sensitivity and Quality Low-Rank Adaptation for Efficient Fine-Tuning
Yu Chen, Yifei Han, Long Zhang +2
Fine-tuning large pre-trained models for downstream tasks has become a fundamental approach in natural language processing. Fully fine-tuning all model parameters is computationall…
cs.DB2025
AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines
Lixiang Chen, Yuxing Han, Yu Chen +3
Modern analytical query engines (AQEs) are essential for large-scale data analysis and processing. These systems usually provide numerous query-level tunable knobs that significant…