3 papers
cs.DL2026
Beyond Document Retrieval: Architectural Challenges When LLM Agents Query Structured Enterprise Data
Sheikh Nazib Ahmed
Retrieval-augmented generation (RAG) has become a common architecture for connecting large language models to enterprise knowledge. Most RAG systems retrieve unstructured documents…
cs.CV2026
Multi-hop Relational Contrastive Learning: Extending Spatial Contrastive Pre-training Beyond Pairwise Relations
Sheikh Tanvir Ahmed, Md. Tanvir Raihan
Understanding how objects relate to each other in space is fundamental to scene understanding, yet most contrastive pre-training approaches only model pairwise relationships, leavi…
cs.SE2026
AgentModernize: Preserving Business Logic in Legacy Modernization with Multi-Agent LLMs and Behavioral Specification Graphs
Sheikh Nazib Ahmed, Marnim Galib
Legacy modernization breaks business logic more often than most teams expect. Most tools and LLM-based approaches treat modernization as syntax translation: convert COBOL to Java,…