1 citations · 1 across the 6 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
The Residual Stream Is All You Need: On the Redundancy of the KV Cache in Transformer Inference
Kaleem Ullah Qasim, Jiashu Zhang, Muhammad Kafeel Shaheen +2
The key-value (KV) cache is widely treated as essential state in transformer inference, and a large body of work engineers policies to compress, evict, or approximate its entries.…
cs.LG2025
Accelerating Training Speed of Tiny Recursive Models with Curriculum Guided Adaptive Recursion
Kaleem Ullah Qasim, Jiashu Zhang
Background: Recursive reasoning models achieve strong performance through iterative refinement, allowing small networks to match large language models. However, training is computa…