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Xin Miao

9 papers hereh-index 588 citations22 works total

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

author position
  • middle author7
  • last author2

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV2
  • cs.AI1
  • cs.CR1
  • cs.SI1
same name
  • Xin Miao — 3 papers, h 8
  • Xin Miao — 2 papers, h 6
  • Xin Miao — 2 papers, h 6
  • Xin Miao — 1 paper, h 3
  • Xin Miao — 1 paper, h 0
  • Xin Miao — 1 paper, 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
20232026
most citedPrompting Large Language Models for Counterfactual Generation: An Empirical Study

2 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations

Hankun Kang, Xin Miao, Jianhao Chen +5

Toxicity detection mitigates the dissemination of toxic content (e.g., hateful comments, posts, and messages within online social actions) to safeguard a healthy online social envi…

cs.CL2025

Reasoning based on symbolic and parametric knowledge bases: a survey

Mayi Xu, Yunfeng Ning, Yongqi Li +10

Reasoning is fundamental to human intelligence, and critical for problem-solving, decision-making, and critical thinking. Reasoning refers to drawing new conclusions based on exist…

cs.CL2024

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback

Yongqi Li, Xin Miao, Shen Zhou +3

Despite the rapid progress that existing automated feedback methods have made in correcting the output of large language models (LLMs), these methods cannot be well applied to the…

cs.CL2023★ 2 cited

Prompting Large Language Models for Counterfactual Generation: An Empirical Study

Yongqi Li, Mayi Xu, Xin Miao +2

Large language models (LLMs) have made remarkable progress in a wide range of natural language understanding and generation tasks. However, their ability to generate counterfactual…

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