Lei Sha

Lei Sha

University of Oxford

H-index: 17

Europe-United Kingdom

About Lei Sha

Lei Sha, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of NLP, ML.

His recent articles reflect a diverse array of research interests and contributions to the field:

Harnessing the Plug-and-Play Controller by Prompting

A Stable ‚Fast ‚and Fully Automatic Learning Algorithm for Predictive Coding Networks

Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation

Text Attribute Control via Closed-Loop Disentanglement

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors

From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings

Correcting Flaws in Common Disentanglement Metrics

Rationalizing predictions by adversarial information calibration

Lei Sha Information

University

Position

___

Citations(all)

1561

Citations(since 2020)

1404

Cited By

648

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

21

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Lei Sha Skills & Research Interests

NLP

ML

Top articles of Lei Sha

Title

Journal

Author(s)

Publication Date

Harnessing the Plug-and-Play Controller by Prompting

arXiv preprint arXiv:2402.04160

Hao Wang

Lei Sha

2024/2/6

A Stable ‚Fast ‚and Fully Automatic Learning Algorithm for Predictive Coding Networks

Cornelius Emde

Thomas Lukasiewicz

Tommaso Salvatori

Lei Sha

Yuhang Song

...

2024

Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation

arXiv preprint arXiv:2404.12879

Guanhua Chen

Wenhan Yu

Lei Sha

2024/4/19

Text Attribute Control via Closed-Loop Disentanglement

Transactions of the Association for Computational Linguistics

Lei Sha

Thomas Lukasiewicz

2024/3/1

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors

arXiv preprint arXiv:2402.16444

Zhexin Zhang

Yida Lu

Jingyuan Ma

Di Zhang

Rui Li

...

2024/2/26

From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings

arXiv preprint arXiv:2402.16006

Hao Wang

Hao Li

Minlie Huang

Lei Sha

2024/2/25

Correcting Flaws in Common Disentanglement Metrics

arXiv preprint arXiv:2304.02335

Louis Mahon

Lei Shah

Thomas Lukasiewicz

2023/4/5

Rationalizing predictions by adversarial information calibration

Artificial Intelligence

Lei Sha

Oana-Maria Camburu

Thomas Lukasiewicz

2023/2/1

Can you Trust your Disentanglement?

Louis Mahon

Lei Sha

Thomas Lukasiewicz

2022/9/29

Incremental predictive coding: A parallel and fully automatic learning algorithm

arXiv preprint arXiv:2212.00720

Tommaso Salvatori

Yuhang Song

Beren Millidge

Zhenghua Xu

Lei Sha

...

2022/11/16

Bird-Eye Transformers for Text Generation Models

arXiv preprint arXiv:2210.03985

Lei Sha

Yuhang Song

Yordan Yordanov

Tommaso Salvatori

Thomas Lukasiewicz

2022/10/8

RecInDial: A unified framework for conversational recommendation with pretrained language models

arXiv preprint arXiv:2110.07477

Lingzhi Wang

Huang Hu

Lei Sha

Can Xu

Kam-Fai Wong

...

2021/10/14

Finetuning large-scale pre-trained language models for conversational recommendation with knowledge graph

arXiv preprint arXiv:2110.07477

Lingzhi Wang

Huang Hu

Lei Sha

Can Xu

Kam-Fai Wong

...

2021

Unifying Categorical Models by Explicit Disentanglement of the Labels' Generative Factors

Luca Pinchetti

Lei Sha

Thomas Lukasiewicz

2021/10/6

Associative memories via predictive coding

Advances in Neural Information Processing Systems

Tommaso Salvatori

Yuhang Song

Yujian Hong

Lei Sha

Simon Frieder

...

2021/12/6

Controlling text edition by changing answers of specific questions

arXiv preprint arXiv:2105.11018

Lei Sha

Patrick Hohenecker

Thomas Lukasiewicz

2021/5/23

Small changes make big differences: Improving multi-turn response selection in dialogue systems via fine-grained contrastive learning

arXiv preprint arXiv:2111.10154

Yuntao Li

Can Xu

Huang Hu

Lei Sha

Yan Zhang

...

2021/11/19

Multi-type Disentanglement without Adversarial Training

Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2–9‚ 2021

Lei Sha

Thomas Lukasiewicz

2021/2

Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration

Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2–9‚ 2021

Lei Sha

Oana-Maria Camburu

Thomas Lukasiewicz

2021/2

Rationale production to support clinical decision-making

arXiv preprint arXiv:2111.07611

Niall Taylor

Lei Sha

Dan W Joyce

Thomas Lukasiewicz

Alejo Nevado-Holgado

...

2021/11/15

See List of Professors in Lei Sha University(University of Oxford)

Co-Authors

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