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Author

Mantek Singh

2 papers indexed here

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Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning

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-parameter model using only $\sim$900 uncertainty-selected examples, each augmented with synthetic chain-of-thought (CoT) rationales generated by...

Mantek Singh, Jeshwanth Challagundla, Siddharth Raina et al. · 0 citations
#artificial intelligence Conference Open access Nov 2024

LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing

Results demonstrate that the LLM-driven framework outperforms traditional time series modeling techniques like ARIMA and LSTMs, generating high-quality synthetic time series data that effectively captures temporal dependencies and statistical properties of real manufacturing data, leading to improvements in downstream...

Mantek Singh, Jeshwanth Challagundla, Prateek Karnal et al. · 5 citations

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