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researcher

Man Tik Ng

The Chinese University of Hong Kong

2 papers hereh-index 230 citations3 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.SE1
affiliations
  • The Chinese University of Hong Kong
HomepageORCID 0009-0002-9568-8962

identity via Semantic Scholar / OpenAlex

most citedHow Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SE2025

TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Framework

Shuzheng Gao, Eric John Li, Man Ho Lam +5

Large foundation models are fundamentally transforming the software engineering landscape, demonstrating exceptional capabilities across diverse tasks such as code generation, debu…

cs.CL2024★ 4 cited

How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO

Man Tik Ng, Hui Tung Tse, Jen-tse Huang +3

The role-play ability of Large Language Models (LLMs) has emerged as a popular research direction. However, existing studies focus on imitating well-known public figures or fiction…

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