1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.IR2026
GRaSP: Latency-Aware Optimization for Geo-Distributed Retrieval-Augmented Generation
Hardik Ruparel, Raj Kumar Pandey, Pramod Kumar
Retrieval-Augmented Generation (RAG) is increasingly served across geo-distributed cloud and edge infrastructures, where wide-area latency, cross-region egress cost, and data-resid…
cs.SE2026
TurnCost: Turns, Not Observations: Cache-Aware Loop Engineering for Coding Agents
Pramod Kumar, Raj Kumar Pandey
AI coding agents operate in iterative loops: they modify code, run tools, inspect the results, and decide what to do next. We call the design of this process loop engineering, whic…
cs.CL2025★ 1 cited
Dynamic Context Tuning for Retrieval-Augmented Generation: Enhancing Multi-Turn Planning and Tool Adaptation
Jubin Abhishek Soni, Amit Anand, Rajesh Kumar Pandey +1
Retrieval-Augmented Generation (RAG) has significantly advanced large language models (LLMs) by grounding their outputs in external tools and knowledge sources. However, existing R…