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

Mirella Lapata

ACL 2026×2NeurIPS 2026推理数据与预训练效率与系统强化学习与后训练评测与基准
新星分贡献者
48
一作贡献0
核心/参与17
方向广度13
合作网络6
0 一作 · 3 篇 · ACL 2026 / NeurIPS 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 #4/4ACL 2026Poster· Natural Language Processing

Long-Context Reasoning Through Proxy-Based Chain-of-Thought Tuning

Miao Li · Irina Saparina · Alexander Gurung · Mirella Lapata

摘要

Recent large language models support inputs of up to 10 million tokens, yet they perform poorly on long-context tasks that require complex reasoning. Such tasks can be solved using only a subset of the input — a proxy context — rather than the full sequence. Despite sharing the same underlying re...

强化学习与后训练推理数据与预训练OpenReview 项目页
作者位次 #2/3ACL 2026Findings· Findings of ACL

Think Before you Write: QA -Guided Reasoning for Character Descriptions in Books

Argyrios Papoudakis · Mirella Lapata · Frank Keller

摘要

Character description generation is an important capability for narrative-focused applications such as summarization, story analysis, and character-driven simulations. However, generating accurate character descriptions from long-form narratives (e.g., novels) is challenging: models must track ev...

推理评测与基准数据与预训练OpenReview 项目页

常见合作者