ELIOT

Interactively Exploring Fast-Changing Scientific Literature Trends

ELIOT helps researchers move beyond keyword search by retrieving arXiv papers from explicit queries and filters, grouping papers into coherent themes, labeling clusters with representative keywords, and visualizing how those themes change over time.

SN-YE

Surya Namaskar Yoga Explorer

SN-YE helps beginners explore Surya Namaskar (SN) variants, breathing patterns, utterances, and mantras using the SN Yoga Ontology (SN-YO), supporting personalized Yoga (SN) learning and practice in 28 languages (6 recognized by the United Nations and 22 recognized by India - the origin of Yoga).

ARC

A Tool to Rate AI Models for Robustness Through a Causal Lens for Enabling Trustworthy Model Selection

AI models are widely used in web applications and data-driven services that rely on continuously collected and evolving online data. Their decisions can be affected by bias, noise, and shifts in the underlying data. This paper presents ARC, an interactive web-based tool for rating AI models for robustness using causality-based methods. ARC quantifies robustness, encompassing fairness and stability, through causal metrics that measure how predictions vary with perturbations and protected attributes, and allows users to explore trade-offs between robustness and accuracy.

OMEGA

An Ontology-Driven Tool for Explaining Multi-Agent Path Finding

OMEGA links MAPF execution traces to a planning ontology to produce transparent, queryable explanations of agent actions, conflicts, and resolutions—supporting SPARQL-based “why/why not” queries and traceability across plans and runs.

GAICo

GenAI Results Comparator

A Python library providing multi-modal evaluation metrics to compare generative AI outputs, often against references. Features streamlined workflows for model comparison and visualization.

LLM Planning Visualization

An interactive tool to centralize and categorize the exponentially growing literature on LLMs and Automated Planning.

ElectionBot-SC

A Tool to Understand and Compare Chatbot Behavior for Safe Election Information in South Carolina

We present ElectionBot-SC, a tool designed to provide reliable and accessible election information, featuring three response engines: SafeChat (explained below), Google Search, and a free-tier Large Language Model (LLM): Mixtral 8x7b.

Election-related Questions Around the World

This website organizes election-related questions by country, highlighting diverse geopolitical contexts and allowing users to submit questions specific to their nation.

Traffic Data Analysis

We analyze traffic accidents over time and across various regions, focusing on economic impact, road conditions, and incident hotspots. The insights provided help in understanding patterns and mitigating future risks.

Solving the Rubik's Cube with a PDDL Planner

In this demonstration, we introduce the first PDDL formulation for the 3-dimension RC and solve it with an off-the-shelf Fast-Downward planner. We also create a plan executor and visualizer to show how the plan achieves the intended goal.

ULTRA

University-Lead Team Builder from RFPs and Analysis

We introduce ULTRA, a novel AI-based system for assisting team formation when researchers respond to calls for proposals from funding agencies.

Plansformer Tool

Demonstrating Generation of Symbolic Plans using Transformers

We introduce Plansformer; an LLM fine-tuned on planning problems and capable of generating plans with favorable behavior in terms of correctness and length with reduced knowledge-engineering efforts.

ElectionBot for South Carolina

Here, we demonstrate how a chatbot built with the SafeChat architecture and using official FAQs (questions and their answers) from South Carolina will answer to any user question. The chatbot should only answer when it is confident of the question. The chatbot can make answers consumable but will not cook up (hallucinate) new answers.

ElectionBot for Mississippi

Here, we demonstrate how a chatbot built with the SafeChat architecture and using official FAQs (questions and their answers) from Mississippi will answer to any user question. The chatbot should only answer when it is confident of the question. The chatbot can make answers consumable but will not cook up (hallucinate) new answers.

ALLURE

A Multi-modal Guided Environment for Helping Children Learn to Solve a Rubik’s Cube

We demonstrate ALLURE, an educational AI system for learning to solve the Rubik’s cube that is designed to help students improve their problem solving skills.

KITE

An Unsupervised, Effective and Inclusive Approach for Textual Content Exploration

We present an unsupervised system, called KITE, for exploring textual data which can generate insights from a general as well as domaindependent perspective consisting of holistic views, entity-centric view, events view, domain-specific interpretation using industry taxonomies and a detailed full-text view transparently connecting the document to insight elements.

ROSE

Tool and Data ResOurces to Explore the Instability of SEntiment Analysis Systems

Sentiment Analysis Systems (SASs) are data-driven Artificial Intelligence (AI) systems that assign a score conveying the sentiment and emotion intensity when a piece of text is given as input. Like other AI, and especially machine learning (ML) based systems, they have also exhibited instability in their values when inputs are perturbed with respect to gender and race, which can be interpreted as biased behavior. In this demonstration paper, we present ROSE, a resource for understanding the behavior of SAS systems with respect to gender. It consists of data consisting of input text and output sentiment scores and a visualization tool to explore the behavior of SAS. We calculated the output sentiment scores using off-the-shelf SASs and our deep-learning-based implementations based on published architectures.

PRUDENT

A Generic Dialog Agent for Information Retrieval Based on Automated Planning Within a Reinforcement Learning Platform

We present a generic approach for dialogs for information retrieval based on automated planning within a reinforcement learning (RL)-based platform, ParlAI.