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

Ji Zhang

ACL 2026×2AAAI 2026ICLR 2026多模态对齐与偏好长上下文与架构强化学习与后训练推理
新星分贡献者
58
一作贡献0
核心/参与20
方向广度16
合作网络12
0 一作 · 4 篇 · ACL 2026 / AAAI 2026 / ICLR 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
作者位次 #10/12ACL 2026Poster· Natural Language Processing

MUSEG : Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding

Fuwen Luo · Shengfeng Lou · Chi Chen · Ziyue Wang · Chenliang Li · Weizhou Shen · Jiyue Guo · Peng Li · Ming Yan · Ji Zhang · Fei Huang · Yang Liu

摘要

Video temporal understanding is crucial for multimodal large language models (MLLMs) to reason over events in videos. Despite recent advances in general video understanding, current MLLMs still struggle with fine-grained temporal reasoning. While reinforcement learning (RL) has been explored to a...

多模态强化学习与后训练推理OpenReview 项目页
作者位次 #8/9ACL 2026Poster· Natural Language Processing

L e C o D e: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation

Weikang Yuan · Kaisong Song · Zhuoren Jiang · Junjie Cao · Yujie Zhang · Jun Lin · Kun Kuang · Ji Zhang · Xiaozhong Liu

摘要

Legal consultation is essential for safeguarding individual rights and ensuring access to justice, yet remains costly and inaccessible to many individuals due to the shortage of professionals. While recent advances in Large Language Models (LLMs) offer a promising path toward scalable, low-cost l...

检索与知识评测与基准社会与人本OpenReview 项目页

常见合作者