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Zhuohan Xie

The University of Melbourne

4 papers hereh-index 4122 citations11 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CL4
affiliations
  • The University of Melbourne
same name
  • Zhuohan Xie — 42 papers, h 9
  • Zhuohan Xie — 1 paper
  • Zhuohan Xie — 1 paper
  • Zhuohan Xie — 1 paper

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
20212026
most citedExploring Story Generation with Multi-task Objectives in Variational Autoencoders

4 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialogues

Muhammad Dehan Al Kautsar, Saeed Almheiri, Momina Ahsan +13

There is a significant gap in evaluating cultural reasoning in LLMs using conversational datasets that capture culturally rich and dialectal contexts. Most Arabic benchmarks focus…

cs.CL2023★ 1 cited

DeltaScore: Fine-Grained Story Evaluation with Perturbations

Zhuohan Xie, Miao Li, Trevor Cohn +1

Numerous evaluation metrics have been developed for natural language generation tasks, but their effectiveness in evaluating stories is limited as they are not specifically tailore…

cs.CL2023★ 3 cited

The Next Chapter: A Study of Large Language Models in Storytelling

Zhuohan Xie, Trevor Cohn, Jey Han Lau

To enhance the quality of generated stories, recent story generation models have been investigating the utilization of higher-level attributes like plots or commonsense knowledge.…

cs.CL2021★ 4 cited

Exploring Story Generation with Multi-task Objectives in Variational Autoencoders

Zhuohan Xie, Trevor Cohn, Jey Han Lau

GPT-2 has been frequently adapted in story generation models as it provides powerful generative capability. However, it still fails to generate consistent stories and lacks diversi…

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