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Lei Sha
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2020 – today
- 2024
- [j3]Lei Sha, Thomas Lukasiewicz:
Text Attribute Control via Closed-Loop Disentanglement. Trans. Assoc. Comput. Linguistics 12: 190-209 (2024) - [j2]Louis Mahon, Lei Sha, Thomas Lukasiewicz:
Correcting Flaws in Common Disentanglement Metrics. Trans. Mach. Learn. Res. 2024 (2024) - [c34]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 - [i20]Hao Wang, Lei Sha:
Harnessing the Plug-and-Play Controller by Prompting. CoRR abs/2402.04160 (2024) - [i19]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 abs/2402.16006 (2024) - [i18]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 abs/2402.16444 (2024) - [i17]Guanhua Chen, Wenhan Yu, Lei Sha:
Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation. CoRR abs/2404.12879 (2024) - [i16]Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha:
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. CoRR abs/2405.18111 (2024) - 2023
- [j1]Lei Sha
, Oana-Maria Camburu, Thomas Lukasiewicz
:
Rationalizing predictions by adversarial information calibration. Artif. Intell. 315: 103828 (2023) - [i15]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Rationalizing Predictions by Adversarial Information Calibration. CoRR abs/2301.06009 (2023) - [i14]Lei Sha, Thomas Lukasiewicz:
Text Attribute Control via Closed-Loop Disentanglement. CoRR abs/2312.00277 (2023) - 2022
- [c33]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: 489-500 - [c32]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: 2723-2727 - [i13]Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz:
Bird-Eye Transformers for Text Generation Models. CoRR abs/2210.03985 (2022) - [i12]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 abs/2212.00720 (2022) - 2021
- [c31]Lei Sha, Thomas Lukasiewicz:
Multi-type Disentanglement without Adversarial Training. AAAI 2021: 9515-9523 - [c30]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. AAAI 2021: 13771-13779 - [c29]Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz:
Controlling Text Edition by Changing Answers of Specific Questions. ACL/IJCNLP (Findings) 2021: 1288-1299 - [c28]Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. NeurIPS 2021: 3874-3886 - [i11]Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz:
Controlling Text Edition by Changing Answers of Specific Questions. CoRR abs/2105.11018 (2021) - [i10]Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. CoRR abs/2109.08063 (2021) - [i9]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 abs/2110.07477 (2021) - [i8]Niall Taylor, Lei Sha, Dan W. Joyce, Thomas Lukasiewicz, Alejo J. Nevado-Holgado, Andrey Kormilitzin:
Rationale production to support clinical decision-making. CoRR abs/2111.07611 (2021) - [i7]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 abs/2111.10154 (2021) - 2020
- [c27]Lei Sha:
Gradient-guided Unsupervised Lexically Constrained Text Generation. EMNLP (1) 2020: 8692-8703 - [c26]Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang:
Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network. IJCNN 2020: 1-8 - [c25]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: 151-152 - [c24]Lei Sha, Anna Kuwana, Masashi Horiguchi, Haruo Kobayashi:
Simple Reference Voltage Generation Circuit Insensitive to Temperature. ISOCC 2020: 242-243 - [i6]Lei Sha, Thomas Lukasiewicz:
Multi-type Disentanglement without Adversarial Training. CoRR abs/2012.08883 (2020) - [i5]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration. CoRR abs/2012.08884 (2020)
2010 – 2019
- 2019
- [c23]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: 1-4 - [c22]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: 1-4 - [c21]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: 93-104 - 2018
- [c20]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-Text Generation by Structure-Aware Seq2seq Learning. AAAI 2018: 4881-4888 - [c19]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. AAAI 2018: 5414-5421 - [c18]Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui:
A Multi-View Fusion Neural Network for Answer Selection. AAAI 2018: 5422-5429 - [c17]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: 5916-5923 - [c16]Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang:
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning. EMNLP 2018: 684-689 - 2017
- [c15]Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang:
Attentive Interactive Neural Networks for Answer Selection in Community Question Answering. AAAI 2017: 3525-3531 - [c14]Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui:
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. ACL (1) 2017: 2069-2077 - [c13]Feng Qian, ChengYue Gong, Luchen Liu, Lei Sha, Ming Zhang:
Topic medical concept embedding: Multi-sense representation learning for medical concept. BIBM 2017: 404-409 - [c12]Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang:
Syntax Aware LSTM model for Semantic Role Labeling. SPNLP@EMNLP 2017: 27-32 - [c11]Lei Sha, Feng Qian, Zhifang Sui:
Will Repeated Reading Benefit Natural Language Understanding? NLPCC 2017: 366-379 - [r2]Lei Sha
:
Image Compression. Encyclopedia of GIS 2017: 906-911 - [i4]Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang:
Syntax Aware LSTM Model for Chinese Semantic Role Labeling. CoRR abs/1704.00405 (2017) - [i3]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. CoRR abs/1709.00155 (2017) - [i2]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-text Generation by Structure-aware Seq2seq Learning. CoRR abs/1711.09724 (2017) - 2016
- [c10]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 - [c9]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM. CCL 2016: 285-298 - [c8]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui:
Towards Time-Aware Knowledge Graph Completion. COLING 2016: 1715-1724 - [c7]Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li:
Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. COLING 2016: 2870-2879 - [c6]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang:
Capturing Argument Relationship for Chinese Semantic Role Labeling. EMNLP 2016: 2011-2016 - [c5]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Encoding Temporal Information for Time-Aware Link Prediction. EMNLP 2016: 2350-2354 - [c4]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Joint Learning Templates and Slots for Event Schema Induction. HLT-NAACL 2016: 428-434 - [i1]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Joint Learning Templates and Slots for Event Schema Induction. CoRR abs/1603.01333 (2016) - 2015
- [c3]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: 835-839 - [c2]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang:
Recognizing Textual Entailment Using Probabilistic Inference. EMNLP 2015: 1620-1625 - 2014
- [c1]Tingsong Jiang, Lei Sha, Zhifang Sui:
Event Schema Induction Based on Relational Co-occurrence over Multiple Documents. NLPCC 2014: 23-33
2000 – 2009
- 2008
- [r1]Lei Sha
:
Image Compression. Encyclopedia of GIS 2008: 472-475
Coauthor Index
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last updated on 2024-08-10 00:26 CEST by the dblp team
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