3 papers
cs.LG2026
LongFlow: Efficient KV Cache Compression for Reasoning Models
Yi Su, Zhenxu Tian, Dan Qiao +3
Recent reasoning models such as OpenAI-o1 and DeepSeek-R1 have shown strong performance on complex tasks including mathematical reasoning and code generation. However, this perform…
cs.CL2026
Where Matters More Than What: Decoding-aligned KV Cache Compression via Position-aware Pseudo Queries
Zhenxu Tian, Yi Su, Juntao Li +1
The Key-Value (KV) cache is crucial for efficient Large Language Models (LLMs) inference, but excessively long contexts drastically increase KV cache memory footprint. Existing KV…
cs.CL2025
Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification
Jikai Wang, Zhenxu Tian, Juntao Li +5
Recent works have revealed the great potential of speculative decoding in accelerating the autoregressive generation process of large language models. The success of these methods…