Lei Sha

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 54

Top Topics

Unsupervised Learning

Predictive Coding

Text Generation

Textual Entailment

Top Venues

Publications

Guanhua Chen, Wenhan Yu, Lei Sha
Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation. CoRR (2024)
Hao Wang, Lei Sha
Harnessing the Plug-and-Play Controller by Prompting. CoRR (2024)
Lei Sha, Thomas Lukasiewicz
Text Attribute Control via Closed-Loop Disentanglement. Trans. Assoc. Comput. Linguistics 12 (2024)
Hao Wang, Hao Li, Minlie Huang, Lei Sha
From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings. CoRR (2024)
Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR (2024)
Louis Mahon, Lei Sha, Thomas Lukasiewicz
Correcting Flaws in Common Disentanglement Metrics. Trans. Mach. Learn. Res. 2024 (2024)
Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. CoRR (2024)
Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. CoRR (2024)
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Rationalizing Predictions by Adversarial Information Calibration. CoRR (2023)
Lei Sha, Thomas Lukasiewicz
Text Attribute Control via Closed-Loop Disentanglement. CoRR (2023)
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Rationalizing predictions by adversarial information calibration. Artif. Intell. 315 (2023)
Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz
Bird-Eye Transformers for Text Generation Models. CoRR (2022)
Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. AACL/IJCNLP (1) (2022)
Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR (2022)
Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. INTERSPEECH (2022)
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. AAAI (2021)
Niall Taylor, Lei Sha, Dan W. Joyce, Thomas Lukasiewicz, Alejo J. Nevado-Holgado, Andrey Kormilitzin
Rationale production to support clinical decision-making. CoRR (2021)
Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz
Controlling Text Edition by Changing Answers of Specific Questions. ACL/IJCNLP (Findings) (2021)
Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories via Predictive Coding. NeurIPS (2021)
Lei Sha, Thomas Lukasiewicz
Multi-type Disentanglement without Adversarial Training. AAAI (2021)
Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. CoRR (2021)
Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph. CoRR (2021)
Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz
Controlling Text Edition by Changing Answers of Specific Questions. CoRR (2021)
Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
Associative Memories via Predictive Coding. CoRR (2021)
Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang
Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network. IJCNN (2020)
Lei Sha, Thomas Lukasiewicz
Multi-type Disentanglement without Adversarial Training. CoRR (2020)
Lei Sha, Anna Kuwana, Masashi Horiguchi, Haruo Kobayashi
Simple Reference Voltage Generation Circuit Insensitive to Temperature. ISOCC (2020)
Lei Sha
Gradient-guided Unsupervised Lexically Constrained Text Generation. EMNLP (1) (2020)
Takashi Hosono, Lei Sha, Souma Yamamoto, Mayu Hirano, Takashi Ida, Anna Kuwana, Haruo Kobayashi, Yoichi Moroshima, Hiromichi Harakawa, Takeshi Oikawa
Improved Nagata Current Source Insensitive to Temperature and Power Supply Voltage. ISOCC (2020)
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration. CoRR (2020)
Haruo Kobayashi, Kosuke Machida, Yuto Sasaki, Yusuke Osawa, Pengfei Zhang, Lei Sha, Yuki Ozawa, Anna Kuwana
Fine Time Resolution TDC Architectures -Integral and Delta-Sigma Types. ASICON (2019)
Chen Shi, Qi Chen, Lei Sha, Hui Xue, Sujian Li, Lintao Zhang, Houfeng Wang
We Know What You Will Ask: A Dialogue System for Multi-intent Switch and Prediction. NLPCC (1) (2019)
Jiang-Lin Wei, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Nene Kushita, Takahiro Arai, Lei Sha, Anna Kuwana, Haruo Kobayashi, Takayuki Nakatani, Kazumi Hatayama, Keno Sato
High-Resolution Low-Sampling-Rate Δ∑ ADC Linearity Short-Time Testing Algorithm. ASICON (2019)
Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui
Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. AAAI (2018)
Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning. EMNLP (2018)
Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui
Table-to-Text Generation by Structure-Aware Seq2seq Learning. AAAI (2018)
Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui
A Multi-View Fusion Neural Network for Answer Selection. AAAI (2018)
Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui
Order-Planning Neural Text Generation From Structured Data. AAAI (2018)
Feng Qian, ChengYue Gong, Lu-chen Liu, Lei Sha, Ming Zhang
Topic medical concept embedding: Multi-sense representation learning for medical concept. BIBM (2017)
Lei Sha, Feng Qian, Zhifang Sui
Will Repeated Reading Benefit Natural Language Understanding? NLPCC (2017)
Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui
Table-to-text Generation by Structure-aware Seq2seq Learning. CoRR (2017)
Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. ACL (1) (2017)
Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui
Order-Planning Neural Text Generation From Structured Data. CoRR (2017)
Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang
Attentive Interactive Neural Networks for Answer Selection in Community Question Answering. AAAI (2017)
Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang
Syntax Aware LSTM Model for Chinese Semantic Role Labeling. CoRR (2017)
Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang
Syntax Aware LSTM model for Semantic Role Labeling. SPNLP@EMNLP (2017)
Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li
Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. COLING (2016)
Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang
Capturing Argument Relationship for Chinese Semantic Role Labeling. EMNLP (2016)
Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
Encoding Temporal Information for Time-Aware Link Prediction. EMNLP (2016)
Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui
RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. ACL (1) (2016)
Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
Joint Learning Templates and Slots for Event Schema Induction. HLT-NAACL (2016)
Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui
Towards Time-Aware Knowledge Graph Completion. COLING (2016)
Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
Joint Learning Templates and Slots for Event Schema Induction. CoRR (2016)
Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM. CCL (2016)
Li Li, Houfeng Wang, Xu Sun, Baobao Chang, Shi Zhao, Lei Sha
Multi-label Text Categorization with Joint Learning Predictions-as-Features Method. EMNLP (2015)
Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang
Recognizing Textual Entailment Using Probabilistic Inference. EMNLP (2015)
Tingsong Jiang, Lei Sha, Zhifang Sui
Event Schema Induction Based on Relational Co-occurrence over Multiple Documents. NLPCC (2014)