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

Jin Wang

AAAI 2026×3ACL 2026×2推理强化学习与后训练评测与基准效率与系统数据与预训练
新星分贡献者
69
一作贡献0
核心/参与39
方向广度13
合作网络12
0 一作 · 5 篇 · AAAI 2026 / ACL 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

5
作者位次 #10/16ACL 2026Poster· Natural Language Processing

D im ABSA : Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis

Lung-Hao Lee · Liang-Chih Yu · Natalia V Loukachevitch · Ilseyar Alimova · Alexander Panchenko · Tzu-Mi Lin · Zhe-Yu Xu · Jian-Yu Zhou · Guangmin Zheng · Jin Wang · Sharanya Awasthi · Jonas Becker · Jan Philip Wahle · Terry Ruas · Shamsuddeen Hassan Muhammad · Saif M. Mohammad

摘要

Aspect-Based Sentiment Analysis (ABSA) focuses on extracting sentiment at a fine-grained aspect level and has been widely applied across real-world domains. However, existing ABSA research relies on coarse-grained categorical labels (e.g., positive, negative), which limits its ability to capture...

强化学习与后训练评测与基准数据与预训练OpenReview 项目页
作者位次 #2/3ACL 2026Findings· Findings of ACL

DICA : Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models

Hao Yang · Jin Wang · Xuejie Zhang

摘要

Human visual reasoning typically follows a coarse-to-fine attention process, starting from global scene understanding and gradually focusing on question-relevant regions. However, multimodal large language models may deviate from this pattern due to attention drift and the underutilization of vis...

多模态评测与基准推理OpenReview 项目页
作者位次 #2/4AAAI 2026Poster· Artificial Intelligence

Step-GRPO: Enhancing Reasoning Quality and Efficiency via Structured PRM-Based Reinforcement Learning

Weijie Li · Jin Wang · Liang-Chih Yu · Xuejie Zhang

强化学习与后训练推理效率与系统OpenReview

常见合作者