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

Feiyu Xiong

ACL 2026×3AAAI 2026×2KDD 2026×2ICML 2026检索与知识代码评测与基准效率与系统推理
新星分贡献者
76
一作贡献0
核心/参与48
方向广度19
合作网络12
0 一作 · 8 篇 · ACL 2026 / AAAI 2026 / KDD 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

8
作者位次 #7/8ACL 2026Poster· Natural Language Processing

C ode F low B ench: A Multi-turn, Iterative Benchmark for Complex Code Generation

Sizhe Wang · Zhengren Wang · Dongsheng Ma · Yongan Yu · Rui Ling · Zhiyu li · Feiyu Xiong · Wentao Zhang

摘要

Modern software development demands code that is maintainable, testable, and scalable by organizing the implementation into modular components with iterative reuse of existing codes. We formalize this iterative, multi-turn paradigm as codeflow and introduce CodeFlowBench , the first benchmark des...

代码评测与基准检索与知识OpenReview 项目页
作者位次 #7/8ACL 2026Poster· Natural Language Processing

Inside Out: Evolving User-Centric Core Memory Trees for Long-Term Personalized Dialogue Systems

Jihao Zhao · Ding Chen · Zhaoxin Fan · Kerun Xu · Mengting Hu · Bo Tang · Feiyu Xiong · Zhiyu li

摘要

Existing long-term personalized dialogue systems struggle to reconcile unbounded interaction streams with finite context constraints, often succumbing to memory noise accumulation, reasoning degradation, and persona inconsistency. To address these challenges, this paper proposes Inside Out, a fra...

效率与系统推理智能体与工具OpenReview 项目页
作者位次 #7/9ACL 2026Findings· Findings of ACL

T ext2 M em: A Unified Memory Operation Language for Memory Operating System

Leo Wang · Lihai Yang · Boyu Chen · Kerun Xu · Gongyi Zou · Bo Tang · Feiyu Xiong · Siheng Chen · Zhiyu li

摘要

Large language model agents increasingly rely on memory to support long-horizon interaction, yet existing frameworks expose only a small set of low-level primitives and lack a formal, executable specification for memory control. As a result, higher-order operations such as promotion, consolidatio...

评测与基准检索与知识代码OpenReview 项目页

常见合作者