1 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs
Ngoc Bui, Shubham Sharma, Simran Lamba +2
Memory and computation remain core bottlenecks in long-horizon LLM inference due to the quadratic cost of self-attention and the ever-growing key-value (KV) cache. Existing strateg…
EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
Prasanth K K, Shubham Sharma
Standard Recurrent Neural Networks, including LSTMs, struggle to model long-range dependencies, particularly in sequences containing noisy or misleading information. We propose a n…
Geometric Mixture Classifier (GMC): A Discriminative Per-Class Mixture of Hyperplanes
Prasanth K K, Shubham Sharma
Many real world categories are multimodal, with single classes occupying disjoint regions in feature space. Classical linear models (logistic regression, linear SVM) use a single g…
The Effect of Data Poisoning on Counterfactual Explanations
André Artelt, Shubham Sharma, Freddy Lecué +1
Counterfactual explanations are a widely used approach for examining the predictions of black-box systems. They can offer the opportunity for computational recourse by suggesting a…