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researcher

Xin Guo

4 papers here

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

author position
  • middle author4

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

fields
  • cs.AI2
  • cs.CL1
  • cs.LG1
same name
  • Xin Guo — 8 papers, h 3
  • Xin Guo — 5 papers, h 16
  • Xin Guo — 4 papers
  • Xin Guo — 4 papers
  • Xin Guo — 4 papers
  • Xin Guo — 4 papers

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

most citedFast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty

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

collaborators

4 papers

cs.LG2026

Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model

Qi Si, Xuyang Liu, Penglei Wang +3

RNA inverse folding, designing sequences to form specific 3D structures, is critical for therapeutics, gene regulation, and synthetic biology. Current methods, focused on sequence…

cs.AI2025

Adaptive Reasoning Executor: A Collaborative Agent System for Efficient Reasoning

Zehui Ling, Deshu Chen, Yichi Zhang +4

Recent advances in Large Language Models (LLMs) demonstrate that chain-of-thought prompting and deep reasoning substantially enhance performance on complex tasks, and multi-agent s…

cs.CL2025★ 1 cited

Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty

Zehui Ling, Deshu Chen, Hongwei Zhang +3

Large language models (LLMs) have demonstrated significant advancements in reasoning capabilities, performing well on various challenging benchmarks. Techniques like Chain-of-Thoug…

cs.AI2025

Efficient Network Automatic Relevance Determination

Hongwei Zhang, Ziqi Ye, Xinyuan Wang +5

We propose Network Automatic Relevance Determination (NARD), an extension of ARD for linearly probabilistic models, to simultaneously model sparse relationships between inputs $X \…

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