9 citations · 18 across the 14 of their papers we have counts for
14 papers
ASTRA - Agentic System for Ticket Resolution and Analysis
Shashidhar Reddy Javaji, Mohamed Trabelsi, Jin Cao +1
Technical operations teams resolve large volumes of incidents by synthesizing fragmented evidence from ticket text, historical cases, system logs, and technical documentation. Exis…
Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting
Shashidhar Reddy Javaji, Bhavul Gauri, Zining Zhu
Large language models (LLMs) are now used in multi-turn workflows, but we still lack a clear way to measure when iteration helps and when it hurts. We present an evaluation framewo…
VERBA: Verbalizing Model Differences Using Large Language Models
Shravan Doda, Shashidhar Reddy Javaji, Zining Zhu
In the current machine learning landscape, we face a "model lake" phenomenon: Given a task, there is a proliferation of trained models with similar performances despite different b…
Can AI Validate Science? Benchmarking LLMs for Accurate Scientific Claim Evidence Reasoning
Shashidhar Reddy Javaji, Yupeng Cao, Haohang Li +3
Large language models (LLMs) are increasingly being used for complex research tasks such as literature review, idea generation, and scientific paper analysis, yet their ability to…
FinAudio: A Benchmark for Audio Large Language Models in Financial Applications
Yupeng Cao, Haohang Li, Yangyang Yu +10
Audio Large Language Models (AudioLLMs) have received widespread attention and have significantly improved performance on audio tasks such as conversation, audio understanding, and…
INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent
Haohang Li, Yupeng Cao, Yangyang Yu +12
Recent advancements have underscored the potential of large language model (LLM)-based agents in financial decision-making. Despite this progress, the field currently encounters tw…
What Would You Ask When You First Saw ? Evaluating LLM on Curiosity-Driven Questioning
Shashidhar Reddy Javaji, Zining Zhu
Large language models (LLMs) can store a massive amount of knowledge, yet their potential to acquire new knowledge remains unknown. We propose a novel evaluation framework that eva…
LLM-Generated Black-box Explanations Can Be Adversarially Helpful
Rohan Ajwani, Shashidhar Reddy Javaji, Frank Rudzicz +1
Large Language Models (LLMs) are becoming vital tools that help us solve and understand complex problems by acting as digital assistants. LLMs can generate convincing explanations,…
A Comparative and Experimental Study on Automatic Question Answering Systems and its Robustness against Word Jumbling
Shashidhar Reddy Javaji, Haoran Hu, Sai Sameer Vennam +1
Question answer generation using Natural Language Processing models is ubiquitous in the world around us. It is used in many use cases such as the building of chat bots, suggestive…
Question-focused Summarization by Decomposing Articles into Facts and Opinions and Retrieving Entities
Krutika Sarode, Shashidhar Reddy Javaji, Vishal Kalakonnavar
This research focuses on utilizing natural language processing techniques to predict stock price fluctuations, with a specific interest in early detection of economic, political, s…
Hybrid Recommendation System using Graph Neural Network and BERT Embeddings
Shashidhar Reddy Javaji, Krutika Sarode
Recommender systems have emerged as a crucial component of the modern web ecosystem. The effectiveness and accuracy of such systems are critical for providing users with personaliz…
Hybrid Genetic Algorithm and Hill Climbing Optimization for the Neural Network
Krutika Sarode, Shashidhar Reddy Javaji
In this paper, we propose a hybrid model combining genetic algorithm and hill climbing algorithm for optimizing Convolutional Neural Networks (CNNs) on the CIFAR-100 dataset. The p…
Multi-BERT for Embeddings for Recommendation System
Shashidhar Reddy Javaji, Krutika Sarode
In this paper, we propose a novel approach for generating document embeddings using a combination of Sentence-BERT (SBERT) and RoBERTa, two state-of-the-art natural language proces…
Automated ensemble method for pediatric brain tumor segmentation
Shashidhar Reddy Javaji, Sovesh Mohapatra, Advait Gosai +1
Brain tumors remain a critical global health challenge, necessitating advancements in diagnostic techniques and treatment methodologies. A tumor or its recurrence often needs to be…