3 citations · 3 across the 8 of their papers we have counts for
9 papers
RSAT: Structured Attribution Makes Small Language Models Faithful Table Reasoners
Jugal Gajjar, Kamalasankari Subramaniakuppusamy
When a language model answers a table question, users have no way to verify which cells informed which reasoning steps. We introduce RSAT, a method that trains small language model…
Verify Before You Fix: Agentic Execution Grounding for Trustworthy Cross-Language Code Analysis
Jugal Gajjar
Learned classifiers deployed in agentic pipelines face a fundamental reliability problem: predictions are probabilistic inferences, not verified conclusions, and acting on them wit…
Feature Attribution Stability Suite: How Stable Are Post-Hoc Attributions?
Kamalasankari Subramaniakuppusamy, Jugal Gajjar
Post-hoc feature attribution methods are widely deployed in safety-critical vision systems, yet their stability under realistic input perturbations remains poorly characterized. Ex…
HyperComplEx: Adaptive Multi-Space Knowledge Graph Embeddings
Jugal Gajjar, Kaustik Ranaware, Kamalasankari Subramaniakuppusamy +1
Knowledge graphs have emerged as fundamental structures for representing complex relational data across scientific and enterprise domains. However, existing embedding methods face…
MLCPD: A Unified Multi-Language Code Parsing Dataset with Universal AST Schema
Jugal Gajjar, Kamalasankari Subramaniakuppusamy
We introduce the MultiLang Code Parser Dataset (MLCPD), a large-scale, language-agnostic dataset unifying syntactic and structural representations of code across ten major programm…
Bridging Semantics & Structure for Software Vulnerability Detection using Hybrid Network Models
Jugal Gajjar, Kaustik Ranaware, Kamalasankari Subramaniakuppusamy
Software vulnerabilities remain a persistent risk, yet static and dynamic analyses often overlook structural dependencies that shape insecure behaviors. Viewing programs as heterog…
SecureFixAgent: A Hybrid LLM Agent for Automated Python Static Vulnerability Repair
Jugal Gajjar, Kamalasankari Subramaniakuppusamy, Relsy Puthal +1
Modern software development pipelines face growing challenges in securing large codebases with extensive dependencies. Static analysis tools like Bandit are effective at vulnerabil…
MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning
Jugal Gajjar, Kamalasankari Subramaniakuppusamy, Noha El Kachach
The growing complexity of cyber threats and the limitations of traditional vulnerability detection tools necessitate novel approaches for securing software systems. We introduce Ma…
Multimodal Sentiment Analysis on CMU-MOSEI Dataset using Transformer-based Models
Jugal Gajjar, Kaustik Ranaware
This project performs multimodal sentiment analysis using the CMU-MOSEI dataset, using transformer-based models with early fusion to integrate text, audio, and visual modalities. W…