7 papers · 1 filter
Tailoring the Quantization Space for 1-Bit KV Cache Compression
Minsoo Cheong, Donghyun Son, Sungjoo Yoo
The key-value (KV) cache becomes a major memory bottleneck in long-context LLM inference, placing substantial pressure on memory capacity and bandwidth. To mitigate this bottleneck…
LiteEvo: Automated, Cost-Efficient Harness Evolution for Generalization to Unseen Tasks
Euntae Choi, Sumin Song, Sungjoo Yoo
An LLM agent is defined by two things: the weights inside its model and the harness of components assembled around it. Harnesses are still handcrafted, and HarnessX, which evolves…
Prefill-Free Cross-Family KV Cache Transfer for Heterogeneous Multi-Agent LLMs
Vincent-Daniel Yun, Woosang Lim, Haneul Yoo +3
Recent multi-agent LLM systems increasingly combine heterogeneous models for specialized agent roles. However, text-based communication requires each receiver to prefill shared con…
KV-Rescue: Recovering Reasoning Language Model KV Eviction Loss via Stepwise Interleaving
Minsoo Cheong, Woosang Lim, Vincent-Daniel Yun +1
KV-cache eviction caps the memory cost of long reasoning traces but is inherently lossy because the model decodes from a partial view of its history. Under aggressive budgets, this…
Output-Aware Rotation for INT2 KV-Cache Quantization
Vincent-Daniel Yun, Woosang Lim, Minsoo Cheong +4
The key-value (KV) cache has become a major memory and bandwidth bottleneck in long-context large language model inference, making ultra-low-bit quantization increasingly important…
LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead Loss
Euntae Choi, Sumin Song, Sungjoo Yoo
Large reasoning models (LRMs) reach competition-level math and coding accuracy via long autoregressive decoding, making per-token decoding cost a primary deployment concern. Weight…
EntropyCache: Decoded Token Entropy Guided KV Caching for Diffusion Language Models
Minsoo Cheong, Donghyun Son, Woosang Lim +1
Diffusion-based large language models (dLLMs) rely on bidirectional attention, which prevents lossless KV caching and requires a full forward pass at every denoising step. Existing…