18 citations · 63 across the 27 of their papers we have counts for
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cs.CL2026
Optimizing Denoising Trajectories in dLLMs: A Lightweight Evolutionary Heuristic Approach
Zijian Zhao, Dian Jin, Xialiang Tong +2
Diffusion Large Language Models (dLLMs) have recently emerged as a promising alternative to conventional Auto-Regressive (AR) Large Language Models (LLMs). By leveraging bidirectio…
cs.CL2025★ 1 cited
Confident RAG: Enhancing the Performance of LLMs for Mathematics Question Answering through Multi-Embedding and Confidence Scoring
Shiting Chen, Zijian Zhao, Jinsong Chen
Large Language Models (LLMs) hold significant promise for mathematics education, yet they often struggle with complex mathematical reasoning. While Retrieval-Augmented Generation (…
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…