5 papers
MERIT: Modular Framework for Multimodal Misinformation Detection with Web-Grounded Reasoning
Mir Nafis Sharear Shopnil, Sharad Duwal, Abhishek Tyagi +1
We present MERIT, an inference-time modular framework for multimodal misinformation detection that decomposes verification into four specialized modules: visual forensics, cross-mo…
DART-ing Through the Drift: Dynamic Tracing of Knowledge Neurons for Adaptive Inference-Time Pruning
Abhishek Tyagi, Yunuo Cen, Shrey Dhorajiya +2
Large Language Models (LLMs) exhibit substantial parameter redundancy, particularly in Feed-Forward Networks (FFNs). Existing pruning methods suffer from two primary limitations. F…
QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture
Shvetank Prakash, Andrew Cheng, Arya Tschand +25
The field of computer architecture, which bridges high-level software abstractions and low-level hardware implementations, remains absent from current large language model (LLM) ev…
Evidence-Grounded Multimodal Misinformation Detection with Attention-Based GNNs
Sharad Duwal, Mir Nafis Sharear Shopnil, Abhishek Tyagi +1
Multimodal out-of-context (OOC) misinformation is misinformation that repurposes real images with unrelated or misleading captions. Detecting such misinformation is challenging bec…
SLAM-Based Navigation and Fault Resilience in a Surveillance Quadcopter with Embedded Vision Systems
Abhishek Tyagi, Charu Gaur
We present an autonomous aerial surveillance platform, Veg, designed as a fault-tolerant quadcopter system that integrates visual SLAM for GPS-independent navigation, advanced cont…