4 papers
Batch Prompting Suppresses Overthinking Reasoning Under Constraint: How Batch Prompting Suppresses Overthinking in Reasoning Models
Saurabh Srivastava, Janit Bidhan, Hao Yan +7
Large Reasoning Models (LRMs) achieve strong performance through explicit chain-of-thought reasoning but suffer from \textit{overthinking}: generating excessive reasoning tokens ev…
Real-Time Performance Benchmarking of TinyML Models in Embedded Systems (PICO: Performance of Inference, CPU, and Operations)
Abhishek Dey, Saurabh Srivastava, Gaurav Singh +1
This paper presents PICO-TINYML-BENCHMARK, a modular and platform-agnostic framework for benchmarking the real-time performance of TinyML models on resource-constrained embedded sy…
Multimodal Event Detection: Current Approaches and Defining the New Playground through LLMs and VLMs
Abhishek Dey, Aabha Bothera, Samhita Sarikonda +5
In this paper, we study the challenges of detecting events on social media, where traditional unimodal systems struggle due to the rapid and multimodal nature of data dissemination…
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition
Arnab Kumar Roy, Hemant Kumar Kathania, Adhitiya Sharma +2
The human face is a silent communicator, expressing emotions and thoughts through its facial expressions. With the advancements in computer vision in recent years, facial emotion r…