1 citations · 1 across the 1 of their papers we have counts for
4 papers
Counting and Min-Cost Encoding for Tokenization in Large Language Models
Shuming Shi, Xiang Zhang, Hao Yu +7
Mainstream large language models rely on a tokenizer to encode text into a token sequence. Different tokenizers may yield token sequences of substantially different lengths for the…
CueMem: Cue-Guided Context Reconstruction for Long-Term Conversational Memory
Changjian Wang, Rongzhen Li, Weili Guan +3
Long-term conversational agents must answer user queries by recalling information from extended dialogue histories, yet directly using the full history is costly and often unreliab…
Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering
Changjian Wang, Weihong Deng, Weili Guan +2
Multi-hop question answering (MHQA) requires integrating knowledge scattered across multiple passages to derive the correct answer. Traditional retrieval-augmented generation (RAG)…
Factorized Learning Assisted with Large Language Model for Gloss-free Sign Language Translation
Zhigang Chen, Benjia Zhou, Jun Li +5
Previous Sign Language Translation (SLT) methods achieve superior performance by relying on gloss annotations. However, labeling high-quality glosses is a labor-intensive task, whi…