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

Weibo Gao

ACL 2026×2AAAI 2026ICML 2026KDD 2026推理对齐与偏好评测与基准理论与学习动力学数据与预训练
新星分贡献者
66
一作贡献0
核心/参与29
方向广度19
合作网络12
0 一作 · 5 篇 · ACL 2026 / AAAI 2026 / ICML 2026 / KDD 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 #6/11ACL 2026Poster· Natural Language Processing

Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees

Zheng Zhang · Qi Liu · Siyuan Liang · Ning Li · Zirui Hu · Weibo Gao · Rui Li · Zhenya Huang · Leszek Rutkowski · Baosheng Yu · Dacheng Tao

摘要

Large language models (LLMs) have achieved remarkable performance across diverse tasks, largely driven by large-scale pretraining. However, this data abundance introduces test data contamination, where benchmark datasets overlap with pretraining corpora, undermining the reliability of model evalu...

评测与基准理论与学习动力学数据与预训练OpenReview 项目页
作者位次 #3/4ACL 2026Findings· Findings of ACL

One LLM Does Not Simulate All Students: Ability-Aware Student Simulation via Cognitive Diagnosis Guided LLM Assignment

Huixing Que · Qi Liu · Weibo Gao · Zhenya Huang

摘要

Large Language Models (LLMs) have become integral to personalized education systems, particularly in the realm of student behavior simulation. By predicting fine-grained learning behaviors, these simulations enable intelligent systems to provide tailored instructional support. However, most exist...

社会与人本对齐与偏好智能体与工具OpenReview 项目页
作者位次 #3/4AAAI 2026Poster· Artificial Intelligence

Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning

Fangzhou Yao · Sheng Chang · Weibo Gao · Qi Liu

常见合作者