2024
VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models.
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CoRR, 2024
Temporal Reasoning Transfer from Text to Video.
CoRR, 2024
Jailbreaking as a Reward Misspecification Problem.
CoRR, 2024
Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models.
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CoRR, 2024
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models.
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CoRR, 2024
Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science.
CoRR, 2024
ImgTrojan: Jailbreaking Vision-Language Models with ONE Image.
CoRR, 2024
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Large Language Models are not Fair Evaluators.
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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Red Teaming Visual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Search-engine-augmented dialogue response generation with cheaply supervised query production.
Artif. Intell., June, 2023
Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models.
CoRR, 2023
FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models.
CoRR, 2023
UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data.
CoRR, 2023
M<sup>3</sup>IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning.
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CoRR, 2023
Large Language Models are not Fair Evaluators.
CoRR, 2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models.
CoRR, 2023
Evaluating Self-Supervised Learning for Molecular Graph Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Can Language Models Understand Physical Concepts?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
An Empirical Study of Retrieval-Enhanced Graph Neural Networks.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
Relational Memory-Augmented Language Models.
Trans. Assoc. Comput. Linguistics, 2022
Causal Machine Learning: A Survey and Open Problems.
CoRR, 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings.
CoRR, 2022
Augmenting Message Passing by Retrieving Similar Graphs.
CoRR, 2022
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
Pretraining the Noisy Channel Model for Task-Oriented Dialogue.
Trans. Assoc. Comput. Linguistics, 2021
Graph Intervention Networks for Causal Effect Estimation.
CoRR, 2021
Causal Effect Inference for Structured Treatments.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Counterfactual Data Augmentation for Neural Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Unsupervised Point Cloud Pre-training via Occlusion Completion.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Pre-Training by Completing Point Clouds.
CoRR, 2020
A Survey on Contextual Embeddings.
CoRR, 2020
Smart Contract Vulnerability Detection using Graph Neural Network.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Multi-Task Self-Supervised Learning for Disfluency Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Insertion-based Decoding with Automatically Inferred Generation Order.
Trans. Assoc. Comput. Linguistics, 2019
Quaternion Knowledge Graph Embedding.
CoRR, 2019
Hyperbolic Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Quaternion Knowledge Graph Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Towards Natural and Accurate Future Motion Prediction of Humans and Animals.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Toward Personalized Activity Level Prediction in Community Question Answering Websites.
ACM Trans. Multim. Comput. Commun. Appl., 2018
Constrained Graph Variational Autoencoders for Molecule Design.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Learning Domain Representation for Multi-Domain Sentiment Classification.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Mining Evidences for Concept Stock Recommendation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Sentence-State LSTM for Text Representation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Multi-Modal Multi-Task Learning for Automatic Dietary Assessment.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Fusion of Magnetic and Visual Sensors for Indoor Localization: Infrastructure-Free and More Effective.
IEEE Trans. Multim., 2017
Behavior pattern clustering in blockchain networks.
Multim. Tools Appl., 2017
I Ate This: A Photo-based Food Journaling System with Expert Feedback.
CoRR, 2017
EtherQL: A Query Layer for Blockchain System.
Proceedings of the Database Systems for Advanced Applications, 2017
QALink: Enriching Text Documents with Relevant Q&A Site Contents.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2015
DocRicher: An Automatic Annotation System for Text Documents Using Social Media.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015