Research
Multilingual semantic retrieval, multimodal RAG, and reranking — published at IEEE INISTA, UBMK, and SIU.
See publicationsLatest publications
All publications →- Evidence-First RAG with Claim Repair for Security Operations Center WorkflowsYılmaz, R. E. — International Conference on Holography, Optical Recording, and Processing of Information (ICHORA 2026), IEEE, 2026LinkRAGClaim RepairSecurity Operations
- Efficient Semantic Retrieval via Multilingual Embeddings and RerankingYılmaz, R. E., Taysi, M. A., Özmen, A. İ. , İnce, G. — International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2025), IEEE, 2025
- Grounded Answer Generation over Multimodal Financial Records via Semantic IndexingYılmaz, R. E., Taysi, M. A., Özmen, A. İ. , İnce, G. — 10th International Conference on Computer Science and Engineering (UBMK 2025), IEEE, 2025
From the blog
All posts →- Nov 17, 2025How AI Learns to See and Read Together with Multimodal LLMs?
A deep dive into how multimodal LLMs merge vision and language to automate document processing, enhance reasoning, and transform enterprise workflows.
multimodal-aillmcomputer-vision - Oct 9, 2025How to Build High-Performance LLM Systems?
A practical, end-to-end guide to making LLMs feel instant: what to measure (TTFT, TPOT, P99), where the time goes (prefill vs. decode, KV cache), and which optimizations actually move the needle (PagedAttention, FlashAttention, quantization, batching, caching) — with a chatbot-style pipeline as the running example.
LLM InferencePerformanceLatency - Oct 9, 2025Mastering Multi-Vector Embeddings: Beyond Traditional Semantic Search
Multi-vector embeddings represent a paradigm shift in semantic retrieval — moving from single compressed vectors to fine-grained token-level understanding. This article explains the architecture, math, and practical optimizations behind modern multi-vector systems.
Information RetrievalEmbeddingsColBERT
Let’s collaborate
Enterprise search, multilingual retrieval, and multimodal/RAG systems. I’m open to projects and research partnerships.