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cs.LG2026
Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning
Mantek Singh, Jeshwanth Challagundla, Siddharth Raina +1
We present an efficient method to distill reasoning capabilities into compact video-language models (VLMs) for video question answering (VideoQA). Our approach fine-tunes a 2B-para…
cs.LG2026★ 2 cited
LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing
Mantek Singh, Jeshwanth Challagundla, Prateek Karnal +3
This paper presents a novel framework leveraging Large Language Models (LLMs) to generate synthetic time series data for manufacturing processes. Motivated by the scarcity of label…