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cs.IR2025
Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
Pranjal A. Chitale, Bishal Santra, Yashoteja Prabhu +1
Compact dual-encoder models are widely used for retrieval owing to their efficiency and scalability. However, such models often underperform compared to their Large Language Model…
cs.LG2025
Improving Generative Methods for Causal Evaluation via Simulation-Based Inference
Pracheta Amaranath, Vinitra Muralikrishnan, Amit Sharma +1
Generating synthetic datasets that accurately reflect real-world observational data is critical for evaluating causal estimators, but it remains a challenging task. Existing genera…
cs.AR2025
AI Accelerators for Large Language Model Inference: Architecture Analysis and Scaling Strategies
Amit Sharma
The rapid growth of large-language models (LLMs) is driving a new wave of specialized hardware for inference. This paper presents the first workload-centric, cross-architectural pe…