Tianxing He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Can LLM Graph Reasoning Generalize beyond Pattern Memorization?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles.

[BibT_eX]

[DOI]

Xiao Pu

Xiaojun Wan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Resolving Knowledge Conflicts in Large Language Models.

[BibT_eX]

[DOI]

Fatemehsadat Mireshghallah

CoRR, 2023

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

[BibT_eX]

[DOI]

Binyi Chen

Hao Wang

CoRR, 2023

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

[BibT_eX]

[DOI]

Shangbin Feng

Weijia Shi

Yuyang Bai

CoRR, 2023

PCFG-Based Natural Language Interface Improves Generalization for Controlled Text Generation.

[BibT_eX]

[DOI]

Jingyu Zhang

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Can Language Models Solve Graph Problems in Natural Language?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Towards a Deeper Understanding of Neural Language Generation

[BibT_eX]

[DOI]

PhD thesis, 2022

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

[BibT_eX]

[DOI]

Remote. Sens., 2022

A comprehensive empirical study on bug characteristics of deep learning frameworks.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2022

Mining Python fix patterns via analyzing fine-grained source code changes.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2022

Controlling the Focus of Pretrained Language Generation Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Kyunghyun Cho

CoRR, 2021

Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Seunghak Yu

CoRR, 2020

A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

An Empirical Study of Transformer-Based Neural Language Model Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Negative Training for Neural Dialogue Response Generation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Quantifying Exposure Bias for Neural Language Generation.

[BibT_eX]

[DOI]

CoRR, 2019

From Data Quality to Model Quality: An Exploratory Study on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Internetware '19: The 11th Asia-Pacific Symposium on Internetware, 2019

Detecting Egregious Responses in Neural Sequence-to-sequence Models.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Multi-view LSTM Language Model with Word-Synchronized Auxiliary Feature for LVCSR.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016

Exploiting LSTM structure in deep neural networks for speech recognition.

[BibT_eX]

[DOI]