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

Micky C. Nnamdi

ACL 2026×2NeurIPS 2026可解释性检索与知识评测与基准推理效率与系统
新星分新星
83
一作贡献70
核心/参与5
方向广度13
合作网络9
2 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 #4/9ACL 2026Poster· Natural Language Processing

M eta B ench: A Multi-task Benchmark for Assessing LLM s in Metabolomics

Yuxing Lu · Xukai Zhao · J. Ben Tamo · Micky C. Nnamdi · Rui Peng · Shuang Zeng · Xingyu Hu · Jinzhuo Wang · May Dongmei Wang

摘要

Large Language Models (LLMs) have demonstrated remarkable capabilities on general text; however, their proficiency in specialized scientific domains that require deep, interconnected knowledge remains largely uncharacterized. Metabolomics presents unique challenges with its complex biochemical pa...

检索与知识评测与基准推理OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

Tree-of-Evidence: Efficient "System 2" Search for Faithful Multimodal Grounding

Micky C. Nnamdi · Benoit Louis Marteau · Yishan Zhong · J. Ben Tamo · May Dongmei Wang

摘要

Large Multimodal Models (LMMs) achieve state-of-the-art performance in high-stakes domains like healthcare, yet their reasoning remains opaque. Attention- and saliency-based methods often fail to faithfully represent the model’s decision process, particularly when integrating heterogeneous modali...

可解释性效率与系统社会与人本OpenReview 项目页

常见合作者