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Ruifeng Xu

4 papers hereh-index 11438 citations47 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CL4
same name
  • Ruifeng Xu — 11 papers, h 55
  • Ruifeng Xu — 8 papers
  • Ruifeng Xu — 7 papers
  • Ruifeng Xu — 5 papers, h 10
  • Ruifeng Xu — 5 papers, h 4
  • Ruifeng Xu — 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

collaborators

4 papers

cs.CL2026

Not All or None: Dynamic Construction of Target-aware Memory Graph for Conversational Stance Detection

Yifan Xiang, Bin Liang, Yuqi Huang +2

Stance detection is crucial for understanding the underlying attitude of an expression towards a target. Conversational stance detection is a more challenging stance detection task…

cs.CL2026

Write, Execute, Refine: From Skill Followers to Skill Optimizers via Reinforcement Learning from Execution Feedback

Kang Peng, Zhiwei Zhang, Yichen Zhang +7

Expert-written natural language skills can improve tool-using agents, yet agent-authored skills perform 8-11 points worse than using no skill. This gap suggests that following proc…

cs.CL2025

CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation

Jingqian Zhao, Bingbing Wang, Geng Tu +5

Data contamination poses a significant challenge to the fairness of LLM evaluations in natural language processing tasks by inadvertently exposing models to test data during traini…

cs.CL2025

MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection

Bingbing Wang, Zhengda Jin, Bin Liang +4

Multimodal Stance Detection (MSD) is a crucial task for understanding public opinion on social media. Existing methods predominantly operate by learning to fuse modalities. They la…

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