4 papers
Re-ranking and Late Interaction Drive Retrieval Quality: A Controlled Comparison of RAG Strategies for Scientific Question Answering
Bhagyesh Rathi, Eshan Chawla, William B. Andreopoulos
Retrieval-Augmented Generation (RAG) is now the standard way to ground Large Language Models (LLMs) in external knowledge, yet the design space of retrieval pipelines is large and…
Sparse PPMI Graph Averaging for Random Indexing Embeddings
Sriram Loganathan, Gokul Anand, Aung Bo Bo +2
We study a specific sparse post-processing pipeline for Random Indexing (RI) on kinship analogies in a small fairytales corpus. The published artifacts use uniform RI context accum…
RelCheck: Dual-Evidence Spatial Grounding for VLM Hallucination Correction
Siddhi Patil, Navrati Saxena, William B. Andreopoulos
Multimodal large language models (MLLMs) fre- quently generate text that is inconsistent with the input image. While object- and attribute-level hallucinations have received consid…
Query Implied Generative Engine Optimization
Shilpa Ramakrishna, William B. Andreopoulos
The landscape of search has changed drastically with how people look for information online. Traditional search engines are being replaced by Generative Search Engines (GSEs), whic…