Tianxing He

According to our database1, Tianxing He authored at least 41 papers between 2014 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks.
CoRR, 2024

k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text.
CoRR, 2024

2023
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models.
CoRR, 2023

SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation.
CoRR, 2023

Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models.
CoRR, 2023

Resolving Knowledge Conflicts in Large Language Models.
CoRR, 2023

LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud.
CoRR, 2023

Can Language Models Solve Graph Problems in Natural Language?
CoRR, 2023

CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge.
CoRR, 2023

PCFG-Based Natural Language Interface Improves Generalization for Controlled Text Generation.
Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Can Language Models Solve Graph Problems in Natural Language?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Zero-Shot Generalization of Machine-Generated Text Detectors.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On the Blind Spots of Model-Based Evaluation Metrics for Text Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Quantifying the Relationship between 2D/3D Building Patterns and Land Surface Temperature: Study on the Metropolitan Shanghai.
Remote. Sens., 2022

A comprehensive empirical study on bug characteristics of deep learning frameworks.
Inf. Softw. Technol., 2022

Mining Python fix patterns via analyzing fine-grained source code changes.
Empir. Softw. Eng., 2022

Controlling the Focus of Pretrained Language Generation Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework.
CoRR, 2021

An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models.
CoRR, 2021

Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Constructing a Knowledge Graph from Unstructured Documents without External Alignment.
CoRR, 2020

A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity.
Proceedings of the 8th International Conference on Learning Representations, 2020

An Empirical Study of Transformer-Based Neural Language Model Adaptation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Negative Training for Neural Dialogue Response Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models.
CoRR, 2019

Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition.
CoRR, 2019

Quantifying Exposure Bias for Neural Language Generation.
CoRR, 2019

From Data Quality to Model Quality: An Exploratory Study on Deep Learning.
Proceedings of the Internetware '19: The 11th Asia-Pacific Symposium on Internetware, 2019

Detecting Egregious Responses in Neural Sequence-to-sequence Models.
Proceedings of the 7th International Conference on Learning Representations, 2019

2017
Multi-view LSTM Language Model with Word-Synchronized Auxiliary Feature for LVCSR.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017

2016
On training bi-directional neural network language model with noise contrastive estimation.
Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016

Exploiting LSTM structure in deep neural networks for speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Paragraph vector based topic model for language model adaptation.
Proceedings of the INTERSPEECH 2015, 2015

Automatic model redundancy reduction for fast back-propagation for deep neural networks in speech recognition.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Recurrent neural network language model with structured word embeddings for speech recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

An investigation on DNN-derived bottleneck features for GMM-HMM based robust speech recognition.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

2014
Reshaping deep neural network for fast decoding by node-pruning.
Proceedings of the IEEE International Conference on Acoustics, 2014


  Loading...