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20212025
most citedCascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification

5 citations · 6 across the 6 of their papers we have counts for

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cs.CL2025★ 1 cited

Mercury: Ultra-Fast Language Models Based on Diffusion

Inception Labs, Samar Khanna, Siddhant Kharbanda +10

We present Mercury, a new generation of commercial-scale large language models (LLMs) based on diffusion. These models are parameterized via the Transformer architecture and traine…

cs.CL2021

InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification

Siddhant Kharbanda, Atmadeep Banerjee, Devaansh Gupta +2

Automatic annotation of short-text data to a large number of target labels, referred to as Short Text Extreme Classification, has found numerous applications including prediction o…