From the 1 of 7 linked papers with an AI index.
7 papers
Stop Thinking, Start Looking: Efficient Post-Training for Multimodal Document Question Answering via Reasoning-Free Alignment
Harikrishnan P M, Goutham Vignesh, Ganesh Parab +4
The paper proposes Perception-RFT, a post‑training framework that uses Group Relative Policy Optimization to align visual features with grounding outputs for multimodal document qu…
Surrogate-Guided Quantum Discovery in Black-Box Landscapes with Latent-Quadratic Interaction Embedding Transformers
Saisubramaniam Gopalakrishnan, Dagnachew Birru
Discovering configurations that are both high-utility and structurally diverse under expensive black-box evaluation and strict query budgets remains a central challenge in data-dri…
Search-Based Risk Feature Discovery in Document Structure Spaces under a Constrained Budget
Saisubramaniam Gopalakrishnan, Harikrishnan P M, Dagnachew Birru
Enterprise-grade Intelligent Document Processing (IDP) systems support high-stakes workflows across finance, insurance, and healthcare. Early-phase system validation under limited…
Intelligent Human-Machine Partnership for Manufacturing: Enhancing Warehouse Planning through Simulation-Driven Knowledge Graphs and LLM Collaboration
Himabindu Thogaru, Saisubramaniam Gopalakrishnan, Zishan Ahmad +1
Manufacturing planners face complex operational challenges that require seamless collaboration between human expertise and intelligent systems to achieve optimal performance in mod…
Thinking in Many Modes: How Composite Reasoning Elevates Large Language Model Performance with Limited Data
Zishan Ahmad, Saisubramaniam Gopalakrishnan
Large Language Models (LLMs), despite their remarkable capabilities, rely on singular, pre-dominant reasoning paradigms, hindering their performance on intricate problems that dema…
Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance
Rishi Parekh, Saisubramaniam Gopalakrishnan, Zishan Ahmad +1
Analyzing large, complex output datasets from Discrete Event Simulations (DES) of warehouse operations to identify bottlenecks and inefficiencies is a critical yet challenging task…