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Guangxu Zhu

4 papers hereh-index 316 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.GT1
  • cs.IR1
  • cs.LG1
same name
  • Guangxu Zhu — 39 papers, h 33
  • Guangxu Zhu — 16 papers, h 5
  • Guangxu Zhu — 14 papers, h 13
  • Guangxu Zhu — 12 papers, h 10
  • Guangxu Zhu — 10 papers, h 3
  • Guangxu Zhu — 5 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedInvar-RAG: Invariant LLM-aligned Retrieval for Better Generation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.GT2026

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…

cs.LG2025

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…

cs.CL2025

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…

cs.IR2024★ 1 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.