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David M. Chan

4 papers hereh-index 460 citations7 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.SD1
same name
  • David M. Chan — 21 papers, h 8
  • David M. Chan — 2 papers, h 2

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 citedVirtual Personas for Language Models via an Anthology of Backstories

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

collaborators

4 papers

cs.CL2026

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation

Song-Ze Yu, Joseph Suh, Serina Chang +1

We present Anamnesis, an interactive system for demographically controllable survey simulation using large language models. Open-source, and designed for non-technical users/resear…

cs.SD2026

PitchBench: Measuring Pitch Hearing in Audio-Language Models

Milan Liessens Dujardin, Song-Ze Yu, Craver Corbyn Thomas-Smith +2

Audio-language models (ALMs) are increasingly used in real-world applications that require understanding music, from music tutoring and transcription to captioning, recommendation…

cs.CL2026★ 3 cited

Virtual Personas for Language Models via an Anthology of Backstories

Suhong Moon, Marwa Abdulhai, Minwoo Kang +5

Large language models (LLMs) are trained from vast repositories of text authored by millions of distinct authors, reflecting an enormous diversity of human traits. While these mode…

cs.CL2025

Deep Binding of Language Model Virtual Personas: a Study on Approximating Political Partisan Misperceptions

Minwoo Kang, Suhong Moon, Seung Hyeong Lee +4

Large language models (LLMs) are increasingly capable of simulating human behavior, offering cost-effective ways to estimate user responses to various surveys and polls. However, t…

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