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Leixian Shen

27 papers hereh-index 14758 citations37 works total

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

author position
  • first author11
  • middle author14

Across the 25 of 27 papers where every author was matched, so the position is known.

fields
  • cs.HC20
  • cs.CL4
  • cs.AI1
  • cs.DB1
  • cs.DS1
same name
  • Leixian Shen — 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 citedTowards Natural Language Interfaces for Data Visualization: A Survey

181 citations · 325 across the 23 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

ChartMark: A Structured Grammar for Chart Annotation

Yiyu Chen, Yifan Wu, Shuyu Shen +4

Chart annotations enhance visualization accessibility but suffer from fragmented, non-standardized representations that limit cross-platform reuse. We propose ChartMark, a structur…

cs.CL2025

ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding

Yifan Wu, Lutao Yan, Leixian Shen +3

The emergence of Multi-modal Large Language Models (MLLMs) presents new opportunities for chart understanding. However, due to the fine-grained nature of these tasks, applying MLLM…

cs.CL2025

nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning

Tianqi Luo, Chuhan Huang, Leixian Shen +5

Text-to-Visualization (Text2VIS) enables users to create visualizations from natural language queries, making data insights more accessible. However, Text2VIS faces challenges in i…

cs.CL2024★ 1 cited

ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Yifan Wu, Lutao Yan, Leixian Shen +3

Chart question answering (ChartQA) tasks play a critical role in interpreting and extracting insights from visualization charts. While recent advancements in multimodal large langu…

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