4 papers
Think: Grounded Metacognitive Reasoning in Large Language Models
Abraham Paul Elenjical, Vivek Hruday Kavuri, Vasudeva Varma
Large Language Models (LLMs) demonstrate strong reasoning performance, yet their ability to reliably monitor, diagnose, and correct their own errors remains limited. We introduce a…
AgenticAKM : Enroute to Agentic Architecture Knowledge Management
Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma
Architecture Knowledge Management (AKM) is crucial for maintaining current and comprehensive software Architecture Knowledge (AK) in a software project. However AKM is often a labo…
Graph-Guided Passage Retrieval for Author-Centric Structured Feedback
Maitreya Prafulla Chitale, Ketaki Mangesh Shetye, Harshit Gupta +3
Obtaining high-quality, pre-submission feedback is a critical bottleneck in the academic publication lifecycle for researchers. We introduce AutoRev, an automated author-centric fe…
DRAFT-ing Architectural Design Decisions using LLMs
Rudra Dhar, Adyansh Kakran, Amey Karan +2
Architectural Knowledge Management (AKM) is crucial for software development but remains challenging due to the lack of standardization and high manual effort. Architecture Decisio…