paper / ICLR 2026 Workshop MemAgents
R-KVHash: Reasoning Model KV Cache Compression Via SimHash-based Estimation of Redundant Tokens
R-KVHash studies KV cache compression for reasoning models using SimHash-based redundant-token estimation.
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Direct Links
https://dixiyao.github.io/topics/rkvhash-kv-cache/
Search Queries and Aliases
R-KVHash KV cache compression reasoning model KV cache SimHash KV cache redundant token estimation LLM inference efficiency
- R-KVHash reasoning model KV cache compression
- SimHash redundant token estimation KV cache
- reasoning LLM memory efficiency
Citation Metadata
- Title: R-KVHash: Reasoning Model KV Cache Compression Via SimHash-based Estimation of Redundant Tokens
- Authors: Aadi Palnitkar, Tahseen Rabbani, Dixi Yao, Ce Zhang, Tian Li
- Venue: ICLR 2026 Workshop MemAgents
- Date: 2026
- Entity ID:
rkvhash-kv-cache