176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of Texas at DallasUS27 papers
- University of North TexasUS6 papers
- The University of MelbourneAU3 papers
- University of DallasUS3 papers
- Emory UniversityUS2 papers
- Northeastern UniversityUS2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- University of Texas Health Science Center at DallasUS2 papers
- University of ToledoUS2 papers
- Acupuncture And Massage CollegeUS1 paper
- AdelardGB1 paper
- Amherst CollegeUS1 paper
41 papers
AdaptAgent: A Multi-agent, Domain-Guided Reasoning Framework for Code Adaptation
Xiaokai Rong, Hridya Dhulipala, Aashish Yadavally +1
Developers often need to adapt into their projects the code generated from LLMs or code snippets from online forums. However, integrating them into an existing repository remains c…
Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models
Nikita Soni, August Håkan Nilsson, Syeda Mahwish +3
Mental health is not a fixed trait but a dynamic process shaped by the interplay between individual dispositions and situational contexts. Building on interactionist and constructi…
Optimizing Weighted Hodge Laplacian Flows on Simplicial Complexes
Mathias Hudoba de Badyn, Tyler Summers
Simplicial complexes are generalizations of graphs that describe higher-order network interactions among nodes in the graph. Network dynamics described by graph Laplacian flows hav…
Non-linear infusion of intrinsic alignment and source clustering: impact on non-Gaussian cosmic shear statistics
J. Harnois-Déraps, N. Šarčević, L. Medina Varela +15
Intrinsic alignments (IA) of galaxies is one of the key secondary signals to cosmic shear measurements, and must be modeled to interpret weak lensing data and infer the correct cos…
Retrieval-Augmented Multi-Agent System for Rapid Statement of Work Generation
Amulya Suravarjhula, Rashi Chandrashekhar Agrawal, Sakshi Jayesh Patel +1
Drafting a Statement of Work (SOW) is a vital part of business and legal projects. It outlines key details like deliverables, timelines, responsibilities, and legal terms. However,…
Symbolic Rule Extraction from Attention-Guided Sparse Representations in Vision Transformers
Parth Padalkar, Gopal Gupta
Recent neuro-symbolic approaches have successfully extracted symbolic rule-sets from CNN-based models to enhance interpretability. However, applying similar techniques to Vision Tr…
A direct detection method of galaxy intrinsic ellipticity-gravitational shear correlation in non-linear regimes using self-calibration
Avijit Bera, Leonel Medina Varela, Vinu Sooriyaarachchi +3
Intrinsic alignment (IA) of galaxies is a challenging source of contamination in the Cosmic shear (GG) signals. The galaxy intrinsic ellipticity-gravitational shear (IG) correlatio…
Autonomous Task Completion Based on Goal-directed Answer Set Programming
Alexis R. Tudor
Task planning for autonomous agents has typically been done using deep learning models and simulation-based reinforcement learning. This research proposes combining inductive learn…
On stochastic control problems with higher-order moments
Yike Wang, Jingzhen Liu, Alain Bensoussan +2
In this paper, we focus on a class of time-inconsistent stochastic control problems, where the objective function includes the mean and several higher-order central moments of the…
Roadmap on Atomic-scale Semiconductor Devices
Steven R. Schofield, Andrew J. Fisher, Eran Ginossar +47
Spin states in semiconductors provide exceptionally stable and noise-resistant environments for qubits, positioning them as optimal candidates for reliable quantum computing techno…
Optical Coherence Elastography Measures Mechanical Tension in the Lens and Capsule
Xu Feng, Guo-yang Li, Yuxuan Jiang +2
Lens tension is essential for accommodative vision but remains difficult to measure with precision. Here, we present an optical coherence elastography (OCE) technique that quantifi…
Jailbreaking and Mitigation of Vulnerabilities in Large Language Models
Benji Peng, Hanxuan Chen, Keyu Chen +12
Large Language Models (LLMs) have transformed artificial intelligence by advancing natural language understanding and generation, enabling applications across fields beyond healthc…
Automating Semantic Analysis of System Assurance Cases using Goal-directed ASP
Anitha Murugesan, Isaac Wong, Joaquín Arias +6
Assurance cases offer a structured way to present arguments and evidence for certification of systems where safety and security are critical. However, creating and evaluating these…
Zeros of Hook Polynomials and Related Questions
Walter Bridges, William Craig, Amanda Folsom +1
We study the zero set of polynomials built from partition statistics, complementing earlier work in this direction by Boyer, Goh, Parry, and others. In particular, addressing a que…
KAT: Dependency-aware Automated API Testing with Large Language Models
Tri Le, Thien Tran, Duy Cao +3
API testing has increasing demands for software companies. Prior API testing tools were aware of certain types of dependencies that needed to be concise between operations and para…
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar Imaging
Christos Vasileiou, Josiah W. Smith, Shiva Thiagarajan +3
In this paper, we introduce an innovative super resolution approach to emerging modes of near-field synthetic aperture radar (SAR) imaging. Recent research extends convolutional ne…
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media
Yuting Guo, Swati Rajwal, Sahithi Lakamana +10
Migraine is a high-prevalence and disabling neurological disorder. However, information migraine management in real-world settings could be limited to traditional health informatio…
Seismic noise characterization at a potential gravitational wave detector site in Australia
Hamid Satari, Carl Blair, Li Ju +5
A critical consideration in the design of next generation gravitational wave detectors is the understanding of the seismic environment that can introduce coherent and incoherent no…
Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse
Maxwell Weinzierl, Sanda Harabagiu
Although billions of COVID-19 vaccines have been administered, too many people remain hesitant. Misinformation about the COVID-19 vaccines, propagating on social media, is believed…
Fault-Tolerant Performance Enhancement of DC-DC Converters with High-Speed Fault Clearing-unit based Redundant Power Switch Configurations
Tohid Rahimi, Hossein Khoun Jahan, Armin Abadifard +4
Fault detection and reconfiguration in fault-tolerant converters may complicated and necessitate using all-purpose microprocessors and high-speed sensors to guarantee the satisfact…
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation
Suraj Kothawade, Anmol Mekala, Chandra Sekhara D +4
State-of-the-art Automatic Speech Recognition (ASR) systems are known to exhibit disparate performance on varying speech accents. To improve performance on a specific target accent…
Mechanical Properties of Atomically Thin Tungsten Dichalcogenides: WS, WSe and WTe
Alexey Falin, Matthew Holwill, Haifeng Lv +10
Two-dimensional (2D) tungsten disulfide (WS), tungsten diselenide (WSe), and tungsten ditelluride (WTe) draw increasing attention due to their attractive properties der…
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators
Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque
Systolic array-based deep neural network (DNN) accelerators have recently gained prominence for their low computational cost. However, their high energy consumption poses a bottlen…
White-box Induction From SVM Models: Explainable AI with Logic Programming
Farhad Shakerin, Gopal Gupta
We focus on the problem of inducing logic programs that explain models learned by the support vector machine (SVM) algorithm. The top-down sequential covering inductive logic progr…