Songfang Huang

Orcid: 0000-0001-8084-0904

According to our database1, Songfang Huang authored at least 109 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation.
IEEE Trans. Artif. Intell., September, 2024

Unlocking the Potential of Model Merging for Low-Resource Languages.
CoRR, 2024

Harder Tasks Need More Experts: Dynamic Routing in MoE Models.
CoRR, 2024

Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Unlocking the Potential of Model Merging for Low-Resource Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Survey on Open Information Extraction from Rule-based Model to Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Harder Task Needs More Experts: Dynamic Routing in MoE Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Achieving Human Parity on Visual Question Answering.
ACM Trans. Inf. Syst., 2023

LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Biomedical Question Answering: A Survey of Approaches and Challenges.
ACM Comput. Surv., 2023

DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins.
CoRR, 2023

VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning.
CoRR, 2023

RRHF: Rank Responses to Align Language Models with Human Feedback without tears.
CoRR, 2023

How well do Large Language Models perform in Arithmetic tasks?
CoRR, 2023

Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain.
CoRR, 2023

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.
CoRR, 2023

Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling.
CoRR, 2023

Adaptively Clustering Neighbor Elements for Image Captioning.
CoRR, 2023

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

RRHF: Rank Responses to Align Language Models with Human Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.
Proceedings of the International Conference on Machine Learning, 2023

Learning Trajectory-Word Alignments for Video-Language Tasks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Transforming Visual Scene Graphs to Image Captions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PEER: Pre-training ELECTRA Extended by Ranking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers.
CoRR, 2022

Open Information Extraction from 2007 to 2022 - A Survey.
CoRR, 2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
CoRR, 2022

Image Captioning In the Transformer Age.
CoRR, 2022

Contrastive Demonstration Tuning for Pre-trained Language Models.
CoRR, 2022

Disentangled representation for sequential treatment effect estimation.
Comput. Methods Programs Biomed., 2022

STRONGHOLD: Fast and Affordable Billion-Scale Deep Learning Model Training.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Unified Prompt Tuning for Few-shot Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection.
IEEE Trans. Inf. Forensics Secur., 2021

Contrastive Information Extraction With Generative Transformer.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Achieving Human Parity on Visual Question Answering.
CoRR, 2021

A Chinese Multi-type Complex Questions Answering Dataset over Wikidata.
CoRR, 2021

SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels.
CoRR, 2021

Biomedical Question Answering: A Comprehensive Review.
CoRR, 2021

Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning.
CoRR, 2021

Alibaba DAMO Academy at TREC Clinical Trials 2021: ExploringEmbedding-based First-stage Retrieval with TrialMatcher.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

Automated conformance testing for JavaScript engines via deep compiler fuzzing.
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

Noisy-Labeled NER with Confidence Estimation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Rethinking Denoised Auto-Encoding in Language Pre-Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Biomedical Pretrained Language Models with Knowledge.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

damo_nlp at MEDIQA 2021: Knowledge-based Preprocessing and Coverage-oriented Reranking for Medical Question Summarization.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

StructuralLM: Structural Pre-training for Form Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Unified Pretraining Framework for Passage Ranking and Expansion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Nested Named Entity Recognition with Partially-Observed TreeCRFs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation.
CoRR, 2020

Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Predicting Clinical Trial Results by Implicit Evidence Integration.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Deep Program Structure Modeling Through Multi-Relational Graph-based Learning.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019
Cross-language document summarization via extraction and ranking of multiple summaries.
Knowl. Inf. Syst., 2019

Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

From EHR Data to Medication Adherence Assessment: A Case Study on Type 2 Diabetes.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018
Encoding implicit relation requirements for relation extraction: A joint inference approach.
Artif. Intell., 2018

Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Enhancing Freebase Question Answering Using Textual Evidence.
CoRR, 2016

Segmentation with Selectively Propagated Constraints.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Hybrid Question Answering over Knowledge Base and Free Text.
Proceedings of the COLING 2016, 2016

Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Question Answering on Freebase via Relation Extraction and Textual Evidence.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Social Image Parsing by Cross-Modal Data Refinement.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Question Answering via Phrasal Semantic Parsing.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2015

Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases.
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

What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Community-based matrix factorization for scalable music recommendation on smartphones.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Joint Inference for Knowledge Base Population.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Encoding Relation Requirements for Relation Extraction via Joint Inference.
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

2011
An Empirical Study on Improving Hierarchical Phrase-Based Translation Using Alignment Features.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Using Features from Topic Models to Alleviate Over-Generation in Hierarchical Phrase-Based Translation.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

2010
Hierarchical Bayesian Language Models for Conversational Speech Recognition.
IEEE Trans. Speech Audio Process., 2010

Power law discounting for n-gram language models.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
A parallel training algorithm for hierarchical pitman-yor process language models.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

An EM algorithm for SCFG in formal syntax-based translation.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Modeling Topic and Role Information in Meetings Using the Hierarchical Dirichlet Process.
Proceedings of the Machine Learning for Multimodal Interaction, 5th International Workshop, 2008

Unsupervised language model adaptation based on topic and role information in multiparty meetings.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

2007
Using Prosodic Features in Language Models for Meetings.
Proceedings of the Machine Learning for Multimodal Interaction , 2007

Hierarchical Pitman-Yor language models for ASR in meetings.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007


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