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

Dennis Wei

ACL 2026×2ICML 2026×2可解释性强化学习与后训练长上下文与架构效率与系统检索与知识
新星分贡献者
61
一作贡献0
核心/参与27
方向广度13
合作网络12
0 一作 · 4 篇 · ACL 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

4
作者位次 #2/5ACL 2026Poster· Natural Language Processing

Multi-component Causal Tracing in Large Language Models

Zirui Yan · Dennis Wei · Dmitriy A Katz · Prasanna Sattigeri · Ali Tajer

摘要

Causal tracing systematically intervenes on a large language model’s (LLM’s) internal representations to uncover and quantify the causal pathways linking specific inputs or computations to specific metrics of interest, quantifying the LLM’s behavior. Building on previous single-component or singl...

可解释性效率与系统检索与知识OpenReview 项目页
作者位次 #10/13ACL 2026Workshop· ACL System Demonstrations

AI Steerability 360: A Toolkit for Steering Large Language Models

Erik Miehling · Karthikeyan Natesan Ramamurthy · Praveen Venkateswaran · Ching-Yun Ko · Pierre Dognin · Moninder Singh · Tejaswini Pedapati · Avinash Balakrishnan · Matthew Riemer · Dennis Wei · Inge Vejsbjerg · Elizabeth M. Daly · Kush R. Varshney

摘要

The AI Steerability 360 toolkit is an extensible, open-source Python library for steering LLMs. Steering abstractions are designed around four model control surfaces: input (modification of the prompt), structural (modification of the model’s weights or architecture), state (modification of the m...

评测与基准可解释性代码OpenReview 项目页

常见合作者