Tianxing He

Tianxing He

Massachusetts Institute of Technology

H-index: 13

North America-United States

About Tianxing He

Tianxing He, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of NLP.

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

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics

Can language models solve graph problems in natural language?

Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically

Systems and methods for natural language processing using joint energy-based models

Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks

k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text

Semstamp: A semantic watermark with paraphrastic robustness for text generation

Resolving knowledge conflicts in large language models

Tianxing He Information

University

Position

___

Citations(all)

932

Citations(since 2020)

836

Cited By

261

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Tianxing He Skills & Research Interests

NLP

Top articles of Tianxing He

Title

Journal

Author(s)

Publication Date

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics

Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

Lu Mi*

Trung Le*

Tianxing He

Eli Shlizerman

Uygar Sümbül

2023/11/3

Can language models solve graph problems in natural language?

Advances in Neural Information Processing Systems

Heng Wang

Shangbin Feng

Tianxing He

Zhaoxuan Tan

Xiaochuang Han

...

2024/2/13

Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically

arXiv preprint arXiv:2404.16367

Kabir Ahuja

Vidhisha Balachandran

Madhur Panwar

Tianxing He

Noah A Smith

...

2024/4/25

Systems and methods for natural language processing using joint energy-based models

2014/1/2

Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks

arXiv preprint arXiv:2402.11638

Yichen Wang

Shangbin Feng

Abe Bohan Hou

Xiao Pu

Chao Shen

...

2024/2/18

k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text

arXiv e-prints

Abe Bohan Hou

Jingyu Zhang

Yichen Wang

Daniel Khashabi

Tianxing He

2024/2

Semstamp: A semantic watermark with paraphrastic robustness for text generation

arXiv preprint arXiv:2310.03991

Abe Bohan Hou

Jingyu Zhang

Tianxing He

Yichen Wang

Yung-Sung Chuang

...

2023/10/6

Resolving knowledge conflicts in large language models

arXiv preprint arXiv:2310.00935

Yike Wang

Shangbin Feng

Heng Wang

Weijia Shi

Vidhisha Balachandran

...

2023/10/2

Knowledge crosswords: Geometric reasoning over structured knowledge with large language models

arXiv preprint arXiv:2310.01290

Wenxuan Ding

Shangbin Feng

Yuhan Liu

Zhaoxuan Tan

Vidhisha Balachandran

...

2023/10/2

KGQUIZ: Evaluating the Generalization of Encoded Knowledge in Large Language Models

arXiv preprint arXiv:2310.09725

Yuyang Bai

Shangbin Feng

Vidhisha Balachandran

Zhaoxuan Tan

Shiqi Lou

...

2023/10/15

LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud

arXiv preprint arXiv:2309.17157

Mengke Zhang

Tianxing He

Tianle Wang

Fatemehsadat Mireshghallah

Binyi Chen

...

2023/9/29

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models

Shangbin Feng

Weijia Shi

Yuyang Bai

Vidhisha Balachandran

Tianxing He

...

2023/10/13

Cook: Empowering general-purpose language models with modular and collaborative knowledge

arXiv preprint arXiv:2305.09955

Shangbin Feng

Weijia Shi

Yuyang Bai

Vidhisha Balachandran

Tianxing He

...

2023/5/17

On the zero-shot generalization of machine-generated text detectors

arXiv preprint arXiv:2310.05165

Xiao Pu

Jingyu Zhang

Xiaochuang Han

Yulia Tsvetkov

Tianxing He

2023/10/8

On the blind spots of model-based evaluation metrics for text generation

arXiv preprint arXiv:2212.10020

Tianxing He

Jingyu Zhang

Tianle Wang

Sachin Kumar

Kyunghyun Cho

...

2022/12/20

PCFG-based Natural Language Interface Improves Generalization for Controlled Text Generation

arXiv preprint arXiv:2210.07431

Jingyu Zhang

James Glass

Tianxing He

2022/10/14

Controlling the focus of pretrained language generation models

arXiv preprint arXiv:2203.01146

Jiabao Ji

Yoon Kim

James Glass

Tianxing He

2022/3/2

Towards a Deeper Understanding of Neural Language Generation

Tianxing He

2022

An empirical study on few-shot knowledge probing for pretrained language models

arXiv preprint arXiv:2109.02772

Tianxing He

Kyunghyun Cho

James Glass

2021/9/6

Analyzing the forgetting problem in pretrain-finetuning of open-domain dialogue response models

Tianxing He

Jun Liu

Kyunghyun Cho

Myle Ott

Bing Liu

...

2021/4

See List of Professors in Tianxing He University(Massachusetts Institute of Technology)

Co-Authors

H-index: 98
Kyunghyun Cho

Kyunghyun Cho

New York University

H-index: 89
James Glass

James Glass

Massachusetts Institute of Technology

H-index: 81
Ke Li

Ke Li

Shandong University

H-index: 71
Ali Jadbabaie

Ali Jadbabaie

Massachusetts Institute of Technology

H-index: 65
Suvrit Sra

Suvrit Sra

Massachusetts Institute of Technology

H-index: 49
Kai Yu(俞凯)

Kai Yu(俞凯)

Shanghai Jiao Tong University

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