222 citations · 445 across the 21 of their papers we have counts for
23 papers
Adapting Feature Attenuation to NLP
Tianshuo Yang, Ryan Rabinowitz, Terrance E. Boult +1
Transformer classifiers such as BERT deliver impressive closed-set accuracy, yet they remain brittle when confronted with inputs from unseen categories--a common scenario for deplo…
Solving Math Word Problems Using Estimation Verification and Equation Generation
Mitchell Piehl, Dillon Wilson, Ananya Kalita +1
Large Language Models (LLMs) excel at various tasks, including problem-solving and question-answering. However, LLMs often find Math Word Problems (MWPs) challenging because solvin…
Linear Relational Decoding of Morphology in Language Models
Eric Xia, Jugal Kalita
A two-part affine approximation has been found to be a good approximation for transformer computations over certain subject object relations. Adapting the Bigger Analogy Test Set,…
A Novel Active Learning Approach to Label One Million Unknown Malware Variants
Ahmed Bensaoud, Jugal Kalita
Active learning for classification seeks to reduce the cost of labeling samples by finding unlabeled examples about which the current model is least certain and sending them to an…
SGNetPose+: Stepwise Goal-Driven Networks with Pose Information for Trajectory Prediction in Autonomous Driving
Akshat Ghiya, Ali K. AlShami, Jugal Kalita
Predicting pedestrian trajectories is essential for autonomous driving systems, as it significantly enhances safety and supports informed decision-making. Accurate predictions enab…
Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models
Ahmed Bensaoud, Jugal Kalita
The rapid expansion of Internet of Things (IoT) devices has increased the risk of cyber-attacks, making effective detection essential for securing IoT networks. This work introduce…
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
Melkamu Abay Mersha, Mesay Gemeda Yigezu, Jugal Kalita
The black-box nature of large language models (LLMs) necessitates the development of eXplainable AI (XAI) techniques for transparency and trustworthiness. However, evaluating these…
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision
Ali K. AlShami, Ryan Rabinowitz, Khang Lam +4
Human Action Recognition (HAR) is a challenging domain in computer vision, involving recognizing complex patterns by analyzing the spatiotemporal dynamics of individuals' movements…
Explainability in Neural Networks for Natural Language Processing Tasks
Melkamu Mersha, Mingiziem Bitewa, Tsion Abay +1
Neural networks are widely regarded as black-box models, creating significant challenges in understanding their inner workings, especially in natural language processing (NLP) appl…
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving
Ali K. AlShami, Ananya Kalita, Ryan Rabinowitz +4
As the Computer Vision community rapidly develops and advances algorithms for autonomous driving systems, the goal of safer and more efficient autonomous transportation is becoming…
Pose2Trajectory: Using Transformers on Body Pose to Predict Tennis Player's Trajectory
Ali K. AlShami, Terrance Boult, Jugal Kalita
Tracking the trajectory of tennis players can help camera operators in production. Predicting future movement enables cameras to automatically track and predict a player's future t…
Automatic Summarization of Long Documents
Naman Chhibbar, Jugal Kalita
A vast amount of textual data is added to the internet daily, making utilization and interpretation of such data difficult and cumbersome. As a result, automatic text summarization…
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI
Mesay Gemeda Yigezu, Melkamu Abay Mersha, Girma Yohannis Bade +3
The proliferation of fake news has emerged as a significant threat to the integrity of information dissemination, particularly on social media platforms. Misinformation can spread…
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms
Melkamu Abay Mersha, Mesay Gemeda yigezu, Jugal Kalita
Topic modeling is a powerful technique to discover hidden topics and patterns within a collection of documents without prior knowledge. Traditional topic modeling and clustering-ba…
Abstractive Text Summarization: State of the Art, Challenges, and Improvements
Hassan Shakil, Ahmad Farooq, Jugal Kalita
Specifically focusing on the landscape of abstractive text summarization, as opposed to extractive techniques, this survey presents a comprehensive overview, delving into state-of-…
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha, Khang Lam, Joseph Wood +2
Artificial intelligence models encounter significant challenges due to their black-box nature, particularly in safety-critical domains such as healthcare, finance, and autonomous v…
MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification
Harrison Gietz, Jugal Kalita
The improvement of language model robustness, including successful defense against adversarial attacks, remains an open problem. In computer vision settings, the stochastic noising…
CNN-LSTM and Transfer Learning Models for Malware Classification based on Opcodes and API Calls
Ahmed Bensaoud, Jugal Kalita
In this paper, we propose a novel model for a malware classification system based on Application Programming Interface (API) calls and opcodes, to improve classification accuracy.…
EthioMT: Parallel Corpus for Low-resource Ethiopian Languages
Atnafu Lambebo Tonja, Olga Kolesnikova, Alexander Gelbukh +1
Recent research in natural language processing (NLP) has achieved impressive performance in tasks such as machine translation (MT), news classification, and question-answering in h…
Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method
Joshua Zingale, Jugal Kalita
Controlled text generation (CTG) seeks to guide large language model (LLM) output to produce text that conforms to desired criteria. The current study presents a novel CTG algorith…
Action-Item-Driven Summarization of Long Meeting Transcripts
Logan Golia, Jugal Kalita
The increased prevalence of online meetings has significantly enhanced the practicality of a model that can automatically generate the summary of a given meeting. This paper introd…
First Attempt at Building Parallel Corpora for Machine Translation of Northeast India's Very Low-Resource Languages
Atnafu Lambebo Tonja, Melkamu Mersha, Ananya Kalita +2
This paper presents the creation of initial bilingual corpora for thirteen very low-resource languages of India, all from Northeast India. It also presents the results of initial t…
The Less the Merrier? Investigating Language Representation in Multilingual Models
Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Jugal Kalita
Multilingual Language Models offer a way to incorporate multiple languages in one model and utilize cross-language transfer learning to improve performance for different Natural La…