activity
20232025
most citedThe Prompt Report: A Systematic Survey of Prompt Engineering Techniques

97 citations · 101 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2025

Speech-Based Prioritization for Schizophrenia Intervention

Gowtham Premananth, Philip Resnik, Sonia Bansal +2

Millions of people suffer from mental health conditions, yet many remain undiagnosed or receive delayed care due to limited clinical resources and labor-intensive assessment method…

cs.CL2025

ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering

Alexander Hoyle, Lorena Calvo-Bartolomé, Jordan Boyd-Graber +1

Topic model and document-clustering evaluations either use automated metrics that align poorly with human preferences or require expert labels that are intractable to scale. We des…

eess.AS2025

Multimodal Biomarkers for Schizophrenia: Towards Individual Symptom Severity Estimation

Gowtham Premananth, Philip Resnik, Sonia Bansal +2

Studies on schizophrenia assessments using deep learning typically treat it as a classification task to detect the presence or absence of the disorder, oversimplifying the conditio…

eess.AS2024★ 3 cited

A Multimodal Framework for the Assessment of the Schizophrenia Spectrum

Gowtham Premananth, Yashish M. Siriwardena, Philip Resnik +3

This paper presents a novel multimodal framework to distinguish between different symptom classes of subjects in the schizophrenia spectrum and healthy controls using audio, video,…

cs.CL2024★ 97 cited

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Sander Schulhoff, Michael Ilie, Nishant Balepur +28

Generative Artificial Intelligence (GenAI) systems are increasingly being deployed across diverse industries and research domains. Developers and end-users interact with these syst…

cs.CL2023★ 1 cited

Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship?

Sathvik Nair, Philip Resnik

An important assumption that comes with using LLMs on psycholinguistic data has gone unverified. LLM-based predictions are based on subword tokenization, not decomposition of words…

eess.SP2023

A multi-modal approach for identifying schizophrenia using cross-modal attention

Gowtham Premananth, Yashish M. Siriwardena, Philip Resnik +1

This study focuses on how different modalities of human communication can be used to distinguish between healthy controls and subjects with schizophrenia who exhibit strong positiv…