1 citations · 1 across the 4 of their papers we have counts for
5 papers
ERSkill: Evolving for Skill-Guided Adaptive Memory Retrieval
Haolong Chen, Liang Zhang, Zhuo Li +2
While Large Language Model (LLM) agents increasingly rely on long-term memory for persistent interactions, the retrieval mechanisms governing this memory are rarely treated as evol…
Error-Aware Reverse Auction Mechanism for Large Language Model Routing
Haolong Chen, Zhengyuan Xin, Liang Zhang +2
Routing each query to a cost-effective large language model (LLM) is critical for balancing quality and cost, yet most routers rely on a centralized task center to predict model pe…
STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction
Haolong Chen, Liang Zhang, Zhengyuan Xin +1
Recently, spatio-temporal time-series prediction has developed rapidly, yet existing deep learning methods struggle with learning complex long-term spatio-temporal dependencies eff…
First Token Probability Guided RAG for Telecom Question Answering
Tingwei Chen, Jiayi Chen, Zijian Zhao +3
Large Language Models (LLMs) have garnered significant attention for their impressive general-purpose capabilities. For applications requiring intricate domain knowledge, Retrieval…
Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation
Ziwei Liu, Liang Zhang, Qian Li +2
Retrieval-augmented generation (RAG) has shown impressive capability in providing reliable answer predictions and addressing hallucination problems. A typical RAG implementation us…