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Xiaobo Guo

10 papers hereh-index 7124 citations15 works total

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

author position
  • first author8
  • middle author2

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.AI1
  • cs.CY1
  • cs.LG1
  • cs.SI1
same name
  • Xiaobo Guo — 12 papers, h 4
  • Xiaobo Guo — 10 papers, h 6
  • Xiaobo Guo — 2 papers, h 3
  • Xiaobo Guo — 1 paper, h 2
  • Xiaobo Guo — 1 paper, h 16

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
20202024
most citedEmotion-based Modeling of Mental Disorders on Social Media

18 citations · 21 across the 9 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

4 papers · 2 filters

cs.CL2024

Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques

Ivory Yang, Xiaobo Guo, Sean Xie +1

This study presents a comprehensive, long-term project to explore the effectiveness of various prompting techniques in detecting dialogical mental manipulation. We implement Chain-…

cs.CL2024★ 2 cited

Serial Position Effects of Large Language Models

Xiaobo Guo, Soroush Vosoughi

Large Language Models (LLMs) have shown remarkable capabilities in zero-shot learning applications, generating responses to queries using only pre-training information without the…

cs.CL2024

MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization

Xiaobo Guo, Soroush Vosoughi

The rapid proliferation of online content necessitates effective summarization methods, among which dynamic aspect-based summarization stands out. Unlike its traditional counterpar…

cs.CL2024

Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts

Xiaobo Guo, Soroush Vosoughi

Aspect-based summarization has seen significant advancements, especially in structured text. Yet, summarizing disordered, large-scale texts, like those found in social media and cu…

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