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Elizabeth M. Daly

AAAI 2026×2ACL 2026×2评测与基准检索与知识数据与预训练可解释性代码
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0 一作 · 4 篇 · AAAI 2026 / ACL 2026

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2026 顶会论文

4
作者位次 #9/9ACL 2026Poster· Natural Language Processing

F act C orrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models

Javier Carnerero-Cano · Massimiliano Pronesti · Radu Marinescu · Tigran T. Tchrakian · James Barry · Jasmina Gajcin · Yufang Hou · Alessandra Pascale · Elizabeth M. Daly

摘要

Large language models (LLMs) are widely used in knowledge-intensive applications but often generate factually incorrect responses. A promising approach to rectify these flaws is correcting LLMs using feedback. Therefore, in this paper, we introduce FactCorrector, a new post-hoc correction method...

评测与基准检索与知识数据与预训练OpenReview 项目页
作者位次 #12/13ACL 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

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