Bing Xiang

According to our database1, Bing Xiang authored at least 137 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Code Representation Learning At Scale.
CoRR, 2024

2023
Data Mining Analysis for Improving Decision-Making in Computer Management Information Systems.
Scalable Comput. Pract. Exp., November, 2023

Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning.
CoRR, 2023

Self-consistency for open-ended generations.
CoRR, 2023

A Static Evaluation of Code Completion by Large Language Models.
CoRR, 2023

Benchmarking Diverse-Modal Entity Linking with Generative Models.
CoRR, 2023

UNITE: A Unified Benchmark for Text-to-SQL Evaluation.
CoRR, 2023

Greener yet Powerful: Taming Large Code Generation Models with Quantization.
CoRR, 2023

Linear Spaces of Meanings: the Compositional Language of VLMs.
CoRR, 2023

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.
CoRR, 2023

Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Shapley Values Estimation by Amortization for Text Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploring Continual Learning for Code Generation Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Benchmarking Diverse-Modal Entity Linking with Generative Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ContraCLM: Contrastive Learning For Causal Language Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

ReCode: Robustness Evaluation of Code Generation Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context.
CoRR, 2022

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing.
CoRR, 2022

Multi-lingual Evaluation of Code Generation Models.
CoRR, 2022

ContraGen: Effective Contrastive Learning For Causal Language Model.
CoRR, 2022

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.
CoRR, 2022

REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction.
CoRR, 2022

Learning Dialogue Representations from Consecutive Utterances.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Attention-guided Generative Models for Extractive Question Answering.
CoRR, 2021

Multiplicative Position-aware Transformer Models for Language Understanding.
CoRR, 2021

Joint Text and Label Generation for Spoken Language Understanding.
CoRR, 2021

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Supporting Clustering with Contrastive Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Structured Prediction as Translation between Augmented Natural Languages.
Proceedings of the 9th International Conference on Learning Representations, 2021

Pairwise Supervised Contrastive Learning of Sentence Representations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Contrastive Document Representation Learning with Graph Attention Networks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Generative Context Pair Selection for Multi-hop Question Answering.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Entity-level Factual Consistency of Abstractive Text Summarization.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Improving Factual Consistency of Abstractive Summarization via Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
CoRR, 2020

Embedding-based Zero-shot Retrieval through Query Generation.
CoRR, 2020

TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding.
CoRR, 2020


Unsupervised Domain Adaptation for Cross-lingual Text Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Beyond [CLS] through Ranking by Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Improve Transformer Models with Better Relative Position Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Augmented Natural Language for Generative Sequence Labeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Universal Text Representation from BERT: An Empirical Study.
CoRR, 2019

Passage Ranking with Weak Supervsion.
CoRR, 2019

WeNet: Weighted Networks for Recurrent Network Architecture Search.
CoRR, 2019

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Topic Modeling with Wasserstein Autoencoders.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Domain Adaptation with BERT-based Domain Classification and Data Selection.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018
Coherence-Aware Neural Topic Modeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks.
Proceedings of the Interspeech 2017, 2017

A Structured Self-Attentive Sentence Embedding.
Proceedings of the 5th International Conference on Learning Representations, 2017

GaDei: On Scale-Up Training as a Service for Deep Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Improved Neural Relation Detection for Knowledge Base Question Answering.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Group Sparse CNNs for Question Classification with Answer Sets.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Neural Models for Sequence Chunking.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs.
Trans. Assoc. Comput. Linguistics, 2016

GaDei: On Scale-up Training As A Service For Deep Learning.
CoRR, 2016

End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking.
CoRR, 2016

Attentive Pooling Networks.
CoRR, 2016

Sequence-to-Sequence RNNs for Text Summarization.
CoRR, 2016

Leveraging Sentence-level Information with Encoder LSTM for Natural Language Understanding.
CoRR, 2016

Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence.
Proceedings of the NAACL HLT 2016, 2016

Labeled Data Generation with Encoder-Decoder LSTM for Semantic Slot Filling.
Proceedings of the Interspeech 2016, 2016

Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Simple Question Answering by Attentive Convolutional Neural Network.
Proceedings of the COLING 2016, 2016

Distributed Deep Learning for Question Answering.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Improved Representation Learning for Question Answer Matching.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
LSTM-based Deep Learning Models for non-factoid answer selection.
CoRR, 2015

Tree-based Convolution for Sentence Modeling.
CoRR, 2015

Distributed Deep Learning for Answer Selection.
CoRR, 2015

Good, Better, Best: Choosing Word Embedding Context.
CoRR, 2015

Efficient Hyper-parameter Optimization for NLP Applications.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Applying deep learning to answer selection: A study and an open task.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

Classifying Relations by Ranking with Convolutional Neural Networks.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Dependency-based Convolutional Neural Networks for Sentence Embedding.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Improving Twitter Sentiment Analysis with Topic-Based Mixture Modeling and Semi-Supervised Training.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
The IBM speech-to-speech translation system for smartphone: Improvements for resource-constrained tasks.
Comput. Speech Lang., 2013

Anchor Graph: Global Reordering Contexts for Statistical Machine Translation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Enlisting the Ghost: Modeling Empty Categories for Machine Translation.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Two-Neighbor Orientation Model with Cross-Boundary Global Contexts.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2011
Improving Reordering for Statistical Machine Translation with Smoothed Priors and Syntactic Features.
Proceedings of Fifth Workshop on Syntax, 2011

IBM Chinese-to-English PatentMT System for NTCIR-9.
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011

A Correction Model for Word Alignments.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Discriminative Feature-Tied Mixture Modeling for Statistical Machine Translation.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Feature-Rich Discriminative Phrase Rescoring for SMT.
Proceedings of the COLING 2010, 2010

Diversify and Combine: Improving Word Alignment for Machine Translation on Low-Resource Languages.
Proceedings of the ACL 2010, 2010

2009
Enriching SCFG rules directly from efficient bilingual chart parsing.
Proceedings of the 2009 International Workshop on Spoken Language Translation, 2009

A study of bootstrapping with multiple acoustic features for improved automatic speech recognition.
Proceedings of the INTERSPEECH 2009, 2009

Advances in syntax-based Malay-English speech translation.
Proceedings of the IEEE International Conference on Acoustics, 2009

Towards integrated machine translation using structural alignment from syntax-augmented synchronous parsing.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008
Prior Derivation Models For Formally Syntax-Based Translation Using Linguistically Syntactic Parsing and Tree Kernels.
Proceedings of the Second Workshop on Syntax and Structure in Statistical Translation, 2008

Unsupervised training for farsi-english speech-to-speech translation.
Proceedings of the IEEE International Conference on Acoustics, 2008

Developing high performance asr in the IBM multilingual speech-to-speech translation system.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Combining Outputs from Multiple Machine Translation Systems.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Integrating Speech Recognition and Machine Translation.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Advances in transcription of broadcast news and conversational telephone speech within the combined EARS BBN/LIMSI system.
IEEE Trans. Speech Audio Process., 2006

Morphological Decomposition for Arabic Broadcast News Transcription.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
The BBN Mandarin broadcast news transcription system.
Proceedings of the INTERSPEECH 2005, 2005

The BBN RT04 English broadcast news transcription system.
Proceedings of the INTERSPEECH 2005, 2005

The 2004 BBN 1xRT recognition systems for English broadcast news and conversational telephone speech.
Proceedings of the INTERSPEECH 2005, 2005

The effects of speech recognition and punctuation on information extraction performance.
Proceedings of the INTERSPEECH 2005, 2005

Recent progress in Arabic broadcast news transcription at BBN.
Proceedings of the INTERSPEECH 2005, 2005

Cluster-Dependent Acoustic Modeling.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Speech recognition in multiple languages and domains: the 2003 BBN/LIMSI EARS system.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Light supervision in acoustic model training.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Efficient text-independent speaker verification with structural Gaussian mixture models and neural network.
IEEE Trans. Speech Audio Process., 2003

Text-independent speaker verification with dynamic trajectory model.
IEEE Signal Process. Lett., 2003

The SuperSID project: exploiting high-level information for high-accuracy speaker recognition.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Using prosodic and conversational features for high-performance speaker recognition: report from JHU WS'02.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Structural Gaussian mixture models for efficient text-independent speaker verification.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Speaker verification using Gaussian component strings in dynamic trajectory space.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Short-time Gaussianization for robust speaker verification.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Multiple mixture segmental HMM and its applications.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Multistage coarticulation model combining articulatory, formant and cepstral features.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1999
Auditory model based speech feature extraction and its application to speaker identification.
Proceedings of the International Joint Conference Neural Networks, 1999


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