Mennatallah El-Assady

schoolETH Zurichbar_chart#1292 Global Rank

Total Papers

HCI Rank

#1292

Research Areas

Years Active

Recent Publications

Latest papers from Mennatallah El-Assady

IUI '263rd AuthorBest PaperExplainable AI (XAI) +3

StepMIND: A Visual Framework for Stepwise, Multimodal, and Bidirectional Explanations of AI-Generated Data Analysis Pipeline

Artificial intelligence (AI) enables users to generate data visualizations from natural language descriptions, lowering the barrier to data exploration. However, AI-generated visualizations often present only the final output, lacking transparency and limiting users' ability to verify, interpret, or refine the results…

CHI '26CorrespondingBest PaperHuman-LLM Collaboration +2

PleaSQLarify: Visual Pragmatic Repair for Natural Language Database Querying

Natural language database interfaces broaden data access, yet they remain brittle under input ambiguity. Standard approaches often collapse uncertainty into a single query, offering little support for mismatches between user intent and system interpretation. We reframe this challenge through pragmatic inference: while…

UIST '25CorrespondingHuman-LLM Collaboration +1

DxHF: Providing High-Quality Human Feedback for LLM Alignment with Interactive Decomposition

Human preferences are widely used to align large language models (LLMs) through methods such as reinforcement learning from human feedback (RLHF). However, the current user interfaces require annotators to compare text paragraphs, which is cognitively challenging when the texts are long or unfamiliar. This paper contr…

IUI '25CorrespondingExplainable AI (XAI) +2

🌳-generAItor: Tree-in-the-loop Text Generation for Language Model Explainability and Adaptation

Large language models (LLMs) are widely deployed in various downstream tasks, e.g., auto-completion, aided writing, or chat-based text generation. However, the considered output candidates of the underlying search algorithm are under-explored and under-explained. We tackle this shortcoming by proposing a tree-in-the-l…

IUI '25CorrespondingConversational Chatbots +2

A Design Space for Intelligent Dialogue Augmentation

The use of intelligent agents in communication is a growing trend aimed at enhancing the efficiency and quality of interactions. As such, \emph{dialogue augmentation systems}---text processing systems that interactively enhance ongoing written or spoken communication---are gaining significant popularity across domain…

CHI '25CorrespondingHuman-LLM Collaboration +2

Finding Needles in Document Haystacks: Augmenting Serendipitous Claim Retrieval Workflows

Preliminary exploration of vast text corpora for generating and validating hypotheses, typical in academic inquiry, requires flexible navigation and rapid validation of claims. Navigating the corpus by titles, summaries, and abstracts might neglect information, whereas identifying the relevant context-specific claims…

CHI '24CorrespondingExplainable AI (XAI) +2

RELIC: Investigating Large Language Model Responses using Self-Consistency

Large Language Models (LLMs) are notorious for blending fact with fiction and generating non-factual content, known as hallucinations. To address this challenge, we propose an interactive system that helps users gain insight into the reliability of the generated text. Our approach is based on the idea that the self-co…

IUI '244th AuthorInteractive Data Visualization +1

Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data

We present an approach that shows all relevant subspaces of categorical data condensed in a single picture. We model the categorical values of the attributes as co-occurrences with data partitions generated from structured data using pattern mining. We show that these co-occurrences are a-priori, allowing us to greatl…

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