1 citations · 1 across the 6 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.CL2025
LiteStage: Latency-aware Layer Skipping for Multi-stage Reasoning
Beomseok Kang, Jiwon Song, Jae-Joon Kim
Multi-stage reasoning has emerged as an effective strategy for enhancing the reasoning capability of small language models by decomposing complex problems into sequential sub-stage…
cs.CL2025
Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning
Jiwon Song, Dongwon Jo, Yulhwa Kim +1
Recent reasoning-focused language models achieve high accuracy by generating lengthy intermediate reasoning paths before producing final answers. While this approach is effective i…
cs.LG2025
FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding Acceleration
Dongwon Jo, Jiwon Song, Yulhwa Kim +1
While large language models (LLMs) excel at handling long-context sequences, they require substantial prefill computation and key-value (KV) cache, which can heavily burden computa…