2025
When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speech.
IEEE Trans. Vis. Comput. Graph., January, 2025
CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal Models.
CoRR, 2024
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph.
CoRR, 2024
Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models.
CoRR, 2024
Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues.
CoRR, 2024
Can we only use guideline instead of shot in prompt?
CoRR, 2024
NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search Missions.
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CoRR, 2024
From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks?
CoRR, 2024
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights.
CoRR, 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction.
CoRR, 2024
Bridging Law and Data: Augmenting Reasoning via a Semi-Structured Dataset with IRAC methodology.
CoRR, 2024
SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking.
CoRR, 2024
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models.
CoRR, 2024
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human.
CoRR, 2024
What Can Natural Language Processing Do for Peer Review?
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CoRR, 2024
FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning.
CoRR, 2024
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues.
CoRR, 2024
SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations.
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CoRR, 2024
Adapting Large Language Models for Document-Level Machine Translation.
CoRR, 2024
RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations.
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Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Let's Negotiate! A Survey of Negotiation Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Generative Region-Language Pretraining for Open-Ended Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery.
Trans. Assoc. Comput. Linguistics, 2023
Turning Flowchart into Dialog: Plan-based Data Augmentation for Low-Resource Flowchart-grounded Troubleshooting Dialogs.
CoRR, 2023
SocialDial: A Benchmark for Socially-Aware Dialogue Systems.
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Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Learning Object-Language Alignments for Open-Vocabulary Object Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation.
Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023
2022
CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation.
IEEE Trans. Dependable Secur. Comput., 2022
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods.
CoRR, 2022
Let's Negotiate! A Survey of Negotiation Dialogue Systems.
CoRR, 2022
Federated Model Decomposition with Private Vocabulary for Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
Easy-to-Deploy API Extraction by Multi-Level Feature Embedding and Transfer Learning.
IEEE Trans. Software Eng., 2021
Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs.
CoRR, 2021
Privacy Monitoring Service for Conversations.
Proceedings of the WSDM '21, 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Few-Shot Semantic Parsing for New Predicates.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
On Robustness of Neural Semantic Parsers.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Neural-Symbolic Commonsense Reasoner with Relation Predictors.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Causal Relationships Between Emotions and Dialog Acts.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021
2020
Personal Information Leakage Detection in Conversations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Context Dependent Semantic Parsing: A Survey.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Adhering, Steering, and Queering: Treatment of Gender in Natural Language Generation.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
2019
Privacy-Aware Text Rewriting.
Proceedings of the 12th International Conference on Natural Language Generation, 2019
Deep Domain Adaptation for Vulnerable Code Function Identification.
Proceedings of the International Joint Conference on Neural Networks, 2019
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection.
Proceedings of the 7th International Conference on Learning Representations, 2019
ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Machine Reading Comprehension: Matching and Orders.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
D-PAGE: Diverse Paraphrase Generation.
CoRR, 2018
2017
Collective Vertex Classification Using Recursive Neural Network.
CoRR, 2017
f-GANs in an Information Geometric Nutshell.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Automatic Generation of Grounded Visual Questions.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Attentive Graph-based Recursive Neural Network for Collective Vertex Classification.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Demographic Inference on Twitter using Recursive Neural Networks.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Making Neural Networks Robust to Label Noise: a Loss Correction Approach.
CoRR, 2016
STransE: a novel embedding model of entities and relationships in knowledge bases.
Proceedings of the NAACL HLT 2016, 2016
Named Entity Recognition for Novel Types by Transfer Learning.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Neighborhood Mixture Model for Knowledge Base Completion.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016
Pairwise FastText Classifier for Entity Disambiguation.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016
Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016
2015
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks.
CoRR, 2015
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015
2014
Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM.
Trans. Assoc. Comput. Linguistics, 2014
Estimating Maximally Probable Constrained Relations by Mathematical Programming.
CoRR, 2014
2013
Sentiment analysis with limited training data.
PhD thesis, 2013
2012
A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
2011
Harvesting facts from textual web sources by constrained label propagation.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
2010
Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia.
Proceedings of the EDBT 2010, 2010
The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns.
Proceedings of the COLING 2010, 2010
2008
Sentence Level Subjectivity and Sentiment Analysis Experiments in NTCIR-7 MOAT Challenge.
Proceedings of the 7th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2008
Using tag semantic network for keyphrase extraction in blogs.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008