1 citations · 2 across the 5 of their papers we have counts for
6 papers
Structured Decomposition for Reliable LLM-Generated Access Control Policies
Vatsal Gupta, Darshan Sreenivasamurthy
This paper presents an LLM-based system that translates natural-language access control policies (NLACPs) into executable Rego code for Open Policy Agent (OPA). It provides a modul…
Prose2Policy (P2P): A Practical LLM Pipeline for Translating Natural-Language Access Policies into Executable Rego
Vatsal Gupta, Darshan Sreenivasamurthy
Prose2Policy (P2P) is a LLM-based practical tool that translates natural-language access control policies (NLACPs) into executable Rego code (the policy language of Open Policy Age…
Formal Algorithms for Model Efficiency
Naman Tyagi, Srishti Das, Kunal +1
We introduce the Knob-Meter-Rule (KMR) framework, a unified formalism for representing and reasoning about model efficiency techniques in deep learning. By abstracting diverse meth…
NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models
Pranshu Pandya, Vatsal Gupta, Agney S Talwarr +3
Cognitive textual and visual reasoning tasks, including puzzles, series, and analogies, demand the ability to quickly reason, decipher, and evaluate patterns both textually and spa…
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts
Shubhankar Singh, Purvi Chaurasia, Yerram Varun +4
Existing benchmarks for visual question answering lack in visual grounding and complexity, particularly in evaluating spatial reasoning skills. We introduce FlowVQA, a novel benchm…
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Vatsal Gupta, Pranshu Pandya, Tushar Kataria +2
Language models, characterized by their black-box nature, often hallucinate and display sensitivity to input perturbations, causing concerns about trust. To enhance trust, it is im…