1 citations · 1 across the 4 of their papers we have counts for
4 papers
The Tokenizer Tax: Quantifying and Explaining the Cross-Lingual Cost of Subword Tokenization for Indian Languages
Priyansh Srivastava
Large language models (LLMs) process text through subword tokenizers rather than directly reading characters or words. Because these tokenizers are trained predominantly on English…
The Information Shadow: Measuring Structural Limits on What Language Models Can Learn
Priyansh Srivastava, Romit Chatterjee
Some limits on what language models know are not gaps in data coverage but structural properties of learning from text. We introduce the information shadow: the region of phenomena…
MiVID: Multi-Strategic Self-Supervision for Video Frame Interpolation using Diffusion Model
Priyansh Srivastava, Romit Chatterjee, Abir Sen +2
Video Frame Interpolation (VFI) remains a cornerstone in video enhancement, enabling temporal upscaling for tasks like slow-motion rendering, frame rate conversion, and video resto…
Nine Ways to Break Copyright Law and Why Our LLM Won't: A Fair Use Aligned Generation Framework
Aakash Sen Sharma, Debdeep Sanyal, Priyansh Srivastava +4
Large language models (LLMs) commonly risk copyright infringement by reproducing protected content verbatim or with insufficient transformative modifications, posing significant et…