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

Tiago Pimentel

ACL 2026×2ICLR 2026多模态代码理论与学习动力学评测与基准数据与预训练
新星分资深
28
一作贡献0
核心/参与12
方向广度13
合作网络9
0 一作 · 3 篇 · ACL 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

3
作者位次 #2/5ACL 2026Poster· Natural Language Processing

What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels

Aditya Yadavalli · Tiago Pimentel · Tamar I Regev · Ethan Gotlieb Wilcox · Alex Warstadt

摘要

Prosody—the melody of speech—conveys critical information often not captured by the words or text of a message.In this paper, we propose an information-theoretic approach to quantify how much is conveyed by prosody that is not recoverable from text alone, and, crucially, what prosody conveys.Our...

多模态代码理论与学习动力学OpenReview 项目页
作者位次 #6/6ACL 2026Findings· Findings of ACL

Do Generalisation Results Generalise?

Matteo Boglioni · Andrea Sgobbi · Gabriel Tavernini · Francesco Rita · Marius Mosbach · Tiago Pimentel

摘要

A large language model’s (LLM’s) out-of-distribution (OOD) generalisation is crucial to its deployment. Previous work assessing LLMs’ generalisation performance, however, typically focuses on a single out-of-distribution dataset. This approach may fail to precisely evaluate the capabilities of th...

评测与基准数据与预训练OpenReview 项目页

常见合作者