Author

William B. Andreopoulos

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#artificial intelligence Preprint Sep 2026

Re-ranking and Late Interaction Drive Retrieval Quality: A Controlled Comparison of RAG Strategies for Scientific Question Answering

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 the trade-offs between variants are not well understood, especially on domain-specific corpora at realistic scale. In this work, we present...

Bhagyesh Rathi, Eshan Chawla, William B. Andreopoulos · 0 citations

#artificial intelligence Preprint Aug 2026

RelCheck: Dual-Evidence Spatial Grounding for VLM Hallucination Correction

Multimodal large language models (MLLMs) fre- quently generate text that is inconsistent with the input image. While object- and attribute-level hallucinations have received considerable attention, relational hallucinations (incorrect de- scriptions of spatial or interactive relationships between objects) remain largel...

Siddhi Patil, N. Saxena, William B. Andreopoulos · 0 citations

#artificial intelligence Preprint Open access Aug 2026

Query Implied Generative Engine Optimization

Query Implied Generative Engine Optimization (QI-GEO) is proposed, which approximates document's intent space and identifies content that may be missing yet relevant to answer potential user queries and suggests that document-derived approximations of user intents can improve visibility without relying on explicit quer...

S. Ramakrishna, William B. Andreopoulos · 0 citations

Conference Jul 2026

Fair Influence Maximization with Reverse Influence Sampling Boosted Multi-Objective Genetic Algorithm

Influence maximization (IM) selects a small set of seed users to maximize expected diffusion in a social network, typically under the Independent Cascade model. Optimizing only global spread can amplify pre-existing structural inequities: some groups (e.g., demographics, communities, or departments) may receive far les...

Akash Janardhan Srinivas, Petros Potikas, William B. Andreopoulos et al. · International Conference on... · 0 citations

Preprint Aug 2026

Sparse PPMI Graph Averaging for Random Indexing Embeddings

A specific sparse post-processing pipeline for Random Indexing on kinship analogies in a small fairytales corpus is studied; the results do not establish a generally effective embedding method.

S. Loganathan, Gokul Anand, A. B. Bo et al. · 0 citations

Conference Jul 2026

A Reproducible and Budget-Aware Framework for Evaluating Local Retrieval-Augmented Generation (RAG) Robustness to Perturbations

The idea of context is no longer considered secondary in the construction of language-model systems. With the use of local Retrieval-Augmented Generation, even a tiny modification of the prompt or the context might produce another set of retrievals, citations, and ultimately different answers; however, in practice, tes...

Rahul Reddy Gangapuram, William B. Andreopoulos · International Conference on... · 0 citations