paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
JB

Jianzhu Bao

ACL 2026×3ICML 2026检索与知识多模态智能体与工具数据与预训练代码
新星分新星
75
一作贡献30
核心/参与22
方向广度13
合作网络12
1 一作 · 4 篇 · ACL 2026 / ICML 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

4
一作ACL 2026Poster· Natural Language Processing

Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding

Jianzhu Bao · Haozhen Zhang · Kuicai Dong · Bozhi Wu · Sarthak Ketanbhai Modi · Zi Pong Lim · Yon Shin Teo · Wenya Wang

摘要

Vision-Language Models (VLMs) have demonstrated remarkable progress in chart understanding, largely driven by supervised fine-tuning (SFT) on increasingly large synthetic datasets.However, scaling SFT data alone is inefficient and overlooks a key property of charts: charts are programmatically ge...

多模态数据与预训练代码OpenReview 项目页
作者位次 #2/5ACL 2026Poster· Natural Language Processing

A rg G en B ench: Benchmarking the Complex Controlled Argument Generation Capability of Large Language Models

Bojun Jin · Jianzhu Bao · Yang Sun · Yice Zhang · Ruifeng Xu

摘要

Argument generation is a fundamental NLP task that aims to automatically produce persuasive arguments.Effective human argumentation is inherently complex and multifaceted, integrating argumentative strategies, appropriate styles, and adaptation to target audiences, etc.However, existing studies f...

评测与基准社会与人本OpenReview 项目页
作者位次 #9/10ACL 2026Poster· Natural Language Processing

Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation

Fangda Ye · Kuicai Dong · Xie Zhifei · Yuxin Hu · Yihang Yin · Shurui Huang · Shikai Dong · Chen Zhang · Jianzhu Bao · Shuicheng YAN

摘要

Recent agentic search frameworks enable deep research via iterative planning and retrieval, reducing hallucinations and enhancing factual grounding. However, they remain text-centric, overlooking the multimodal evidence that characterizes real-world expert reports. We introduce a pressing task: m...

检索与知识多模态推理OpenReview 项目页

常见合作者