Every LLM inference begins with tokenization, which converts raw input bytes into the discrete token sequence the model consumes. For text, this step is often implemented using Byte Pair Encoding (BPE), an algorithm originally introduced for data compression. BPE has traditionally run on the CPU with extensive optimiza...
Aditya Kovilur, V. C. Shekar, Ariful Azad· 0 citations
It is revealed that multi-turn interaction causes widespread performance degradation, incurring relative performance drops of up to 21% and increasing unreliability by 47%, making RAG systems simultaneously less accurate and less reliable.
This work proposes KGCache, an in-memory cache for one-hop knowledge graph neighborhoods, which is designed to be compatible with both iterative traversal (ToG) and one shot planning (RoG) KGQA paradigms and shows substantial entity reuse among starting entities and entities reached during traversal.
Uros Stanic, Chang-He Yuan, Sabuj Laskar et al.· 0 citations
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