2 citations · 3 across the 5 of their papers we have counts for
5 papers
AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models
Zhanyu Shen, Sijie Cheng, Zhicheng Guo +3
While large language models have achieved remarkable performance in complex tasks, they still need a memory system to utilize historical experience in long-term interactions. Exist…
Evaluating Memory Capability in Continuous Lifelog Scenario
Jianjie Zheng, Zhichen Liu, Zhanyu Shen +6
Nowadays, wearable devices can continuously lifelog ambient conversations, creating substantial opportunities for memory systems. However, existing benchmarks primarily focus on on…
LDIR: Low-Dimensional Dense and Interpretable Text Embeddings with Relative Representations
Yile Wang, Zhanyu Shen, Hui Huang
Semantic text representation is a fundamental task in the field of natural language processing. Existing text embedding (e.g., SimCSE and LLM2Vec) have demonstrated excellent perfo…
Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine
Kuan Fang, Long Zhao, Zhan Shen +3
Search engine has become a fundamental component in various web and mobile applications. Retrieving relevant documents from the massive datasets is challenging for a search engine…
SERank: Optimize Sequencewise Learning to Rank Using Squeeze-and-Excitation Network
RuiXing Wang, Kuan Fang, RiKang Zhou +2
Learning-to-rank (LTR) is a set of supervised machine learning algorithms that aim at generating optimal ranking order over a list of items. A lot of ranking models have been studi…