activity
20202026
most cited"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision

9 citations · 22 across the 15 of their papers we have counts for

collaborators

15 papers

cs.AI2026

SAAG: Structured Agent Assessment and Grounding

Ritvik Garimella, Vedant Khandelwal, Anvi Kohli +1

Exact-match evaluation of agent-calling obscures qualitatively different failure modes: a model may select the right function yet hallucinate argument values, or satisfy a schema w…

cs.IR2026

Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds

Prateek Biswas, Dhaval Patel, Vedant Khandelwal +2

Multiple-choice QA benchmarks usually evaluate small language models (SLMs) as direct answerers, but deployed language-model systems increasingly rely on external scaffolds such as…

cs.AI2025

Language Models Coupled with Metacognition Can Outperform Reasoning Models

Vedant Khandelwal, Francesca Rossi, Keerthiram Murugesan +4

Large language models (LLMs) excel in speed and adaptability across various reasoning tasks, but they often struggle when strict logic or constraint enforcement is required. In con…

cs.CY2025

NeuroLit Navigator: A Neurosymbolic Approach to Scholarly Article Searches for Systematic Reviews

Vedant Khandelwal, Kaushik Roy, Valerie Lookingbill +4

The introduction of Large Language Models (LLMs) has significantly impacted various fields, including education, for example, by enabling the creation of personalized learning mate…

cs.AI2024

A Neurosymbolic Fast and Slow Architecture for Graph Coloring

Vedant Khandelwal, Vishal Pallagani, Biplav Srivastava +1

Constraint Satisfaction Problems (CSPs) present significant challenges to artificial intelligence due to their intricate constraints and the necessity for precise solutions. Existi…

cs.AI2024

PDDLFuse: A Tool for Generating Diverse Planning Domains

Vedant Khandelwal, Amit Sheth, Forest Agostinelli

Various real-world challenges require planning algorithms that can adapt to a broad range of domains. Traditionally, the creation of planning domains has relied heavily on human im…

cs.AI2024★ 2 cited

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19

Vedant Khandelwal, Manas Gaur, Ugur Kursuncu +2

Monitoring public sentiment via social media is potentially helpful during health crises such as the COVID-19 pandemic. However, traditional frequency-based, data-driven neural net…

cs.LG2024

Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems

Vedant Khandelwal, Amit Sheth, Forest Agostinelli

Pathfinding problems are found throughout robotics, computational science, and natural sciences. Traditional methods to solve these require training deep neural networks (DNNs) for…

cs.CY2024★ 1 cited

Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube

Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava +6

Artificial intelligence (AI) has the potential to transform education with its power of uncovering insights from massive data about student learning patterns. However, ethical and…

cs.IR2023★ 1 cited

GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews

Kaushik Roy, Vedant Khandelwal, Harshul Surana +3

Systematic reviews (SRs) - the librarian-assisted literature survey of scholarly articles takes time and requires significant human resources. Given the ever-increasing volume of p…

cs.CL2023★ 1 cited

Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case

Kaushik Roy, Vedant Khandelwal, Raxit Goswami +3

After the pandemic, artificial intelligence (AI) powered support for mental health care has become increasingly important. The breadth and complexity of significant challenges requ…

cs.AI2022

Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety

Amit Sheth, Manas Gaur, Kaushik Roy +2

AI systems have been widely adopted across various domains in the real world. However, in high-value, sensitive, or safety-critical applications such as self-management for persona…

cs.AI2022★ 2 cited

A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process

Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal +4

Food is not only a basic human necessity but also a key factor driving a society's health and economic well-being. As a result, the cooking domain is a popular use-case to demonstr…

cs.CL2021★ 9 cited

"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision

Kaushik Roy, Usha Lokala, Vedant Khandelwal +1

With strong marketing advocacy of the benefits of cannabis use for improved mental health, cannabis legalization is a priority among legislators. However, preliminary scientific re…

eess.SP2020★ 6 cited

sCrop: A Internet-of-Agro-Things (IoAT) Enabled Solar Powered Smart Device for Automatic Plant Disease Prediction

Venkanna Udutalapally, Saraju P. Mohanty, Vishal Pallagani +1

Internet-of-Things (IoT) is omnipresent, ranging from home solutions to turning wheels for the fourth industrial revolution. This article presents the novel concept of Internet-of-…