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

Jianfei Yu

ACL 2026SIGIR 2026检索与知识推理代码多模态评测与基准
新星分贡献者
44
一作贡献0
核心/参与10
方向广度13
合作网络9
0 一作 · 2 篇 · ACL 2026 / SIGIR 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

2
作者位次 #3/4ACL 2026Findings· Findings of ACL

Interactive Semantic Parsing with Reinforcement Learning for Knowledge Graph Reasoning

Yurun Song · Xiangqing Shen · Jianfei Yu · Rui Xia

摘要

While large language models (LLMs) have achieved remarkable success, their reliability in knowledge-intensive tasks is often compromised by factual hallucinations. Integrating Knowledge Graphs (KGs) addresses this issue; however, existing approaches typically rely on simple graph traversal.This p...

检索与知识推理代码OpenReview 项目页
作者位次 #4/5SIGIR 2026Poster· Information Retrieval (Resource)

Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries

Yin Wu · Quanyu Long · Jing Li · Jianfei Yu · Wenya Wang

摘要

Retrieval-augmented generation (RAG) augments large language models (LLMs) with external knowledge to tackle knowledge-intensive question answering.While several benchmarks evaluate multimodal LLMs (MLLMs) under multimodal RAG settings, they predominantly retrieve from textual corpora and do not...

检索与知识多模态评测与基准OpenReview

常见合作者