◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Haolan Zhan

Monash University

19 papers hereh-index 11405 citations27 works total

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

author position
  • first author9
  • middle author9
  • last author1

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CL16
  • cs.CV1
  • cs.HC1
  • cs.IR1
affiliations
  • Monash University
same name
  • Haolan Zhan — 4 papers, h 7
  • Haolan Zhan — 2 papers, h 2
  • Haolan Zhan — 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

activity
20192024
most citedLet's Negotiate! A Survey of Negotiation Dialogue Systems

8 citations · 23 across the 19 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

4 papers · 2 filters

cs.CL2023★ 4 cited

G3Detector: General GPT-Generated Text Detector

Haolan Zhan, Xuanli He, Qiongkai Xu +2

The burgeoning progress in the field of Large Language Models (LLMs) heralds significant benefits due to their unparalleled capacities. However, it is critical to acknowledge the p…

cs.CL2023

Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation

Haolan Zhan, Sameen Maruf, Lizhen Qu +3

Flowchart-grounded troubleshooting dialogue (FTD) systems, which follow the instructions of a flowchart to diagnose users' problems in specific domains (e.g., vehicle, laptop), hav…

cs.CL2023★ 1 cited

SocialDial: A Benchmark for Socially-Aware Dialogue Systems

Haolan Zhan, Zhuang Li, Yufei Wang +10

Dialogue systems have been widely applied in many scenarios and are now more powerful and ubiquitous than ever before. With large neural models and massive available data, current…

cs.CL2023

Towards Zero-Shot Personalized Table-to-Text Generation with Contrastive Persona Distillation

Haolan Zhan, Xuming Lin, Shaobo Cui +3

Existing neural methods have shown great potentials towards generating informative text from structured tabular data as well as maintaining high content fidelity. However, few of t…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.