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Granularity Meets Noise: Exploring Document–Proposition Combinations for LLM Question Answering/ Syeda Tahreem Fatima,

TextIslamabad: SEECS NUST. 2025Subject(s): MS- Data ScienceDDC classification: 200 Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CL-T-7694

Total holds: 0

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Previous	200 Transforming Human Capital Management in a Public Sector Agricultural Research Organization through Implementation of High-Performance Work System Practices./	200 Deep Learning-Driven Safer Streets: Efficient Estimation of Pedestrian Intentions/	200 Organizational Capability to Adopt Digital Transformation and its Effect on Firm’s Performance/	200 Granularity Meets Noise: Exploring Document–Proposition Combinations for LLM Question Answering/	200 Impact of Connectedness to Nature on Voluntary Pro-Environmental Behavior: Mediating Role of Employee Mindfulness and Moderating Role of Perceived Environmental Effectiveness/	200 LMBT-Net: A Lightweight MobileNet-Based Framework for Brain Tumor Classification via Knowledge Distillation and Model Compression/	200 Enhanced S-Box Classification Using Machine Learning for Cryptographic Design Optimization/	Next

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