2025
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
A Survey of Computer Vision Technologies in Urban and Controlled-environment Agriculture.
ACM Comput. Surv., May, 2024
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses.
CoRR, 2024
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding.
CoRR, 2024
Generating Synthetic Datasets for Few-shot Prompt Tuning.
CoRR, 2024
Multilingual Synopses of Movie Narratives: A Dataset for Story Understanding.
CoRR, 2024
Rationale-based Ensemble of Multiple QA Strategies for Zero-shot Knowledge-based VQA.
CoRR, 2024
Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture.
CoRR, 2024
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Event Causality Is Key to Computational Story Understanding.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Emergent Open-Vocabulary Semantic Segmentation from Off-the-Shelf Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Improving Tail-Class Representation with Centroid Contrastive Learning.
Pattern Recognit. Lett., April, 2023
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction.
CoRR, 2023
Plug-and-Play, Dense-Label-Free Extraction of Open-Vocabulary Semantic Segmentation from Vision-Language Models.
CoRR, 2023
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability.
CoRR, 2023
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems.
CoRR, 2023
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Training Multimedia Event Extraction With Generated Images and Captions.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Unlocking Multimedia Capabilities of Gigantic Pretrained Language Models.
Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, 2023
Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Is GPT-3 a Good Data Annotator?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Federated Learning for Personalized Humor Recognition.
ACM Trans. Intell. Syst. Technol., 2022
Semi-Supervised Federated Heterogeneous Transfer Learning.
Knowl. Based Syst., 2022
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models.
CoRR, 2022
Is GPT-3 a Good Data Annotator?
CoRR, 2022
Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground.
CoRR, 2022
Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference.
CoRR, 2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction.
CoRR, 2022
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding.
CoRR, 2022
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Toward Knowledge-Enriched Conversational Recommendation Systems.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022
2021
An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness.
SN Comput. Sci., 2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering.
CoRR, 2021
VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining.
CoRR, 2021
Proof of Learning (PoLe): Empowering neural network training with consensus building on blockchains.
Comput. Networks, 2021
Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A Multi-Task Neural Approach for Emotion Attribution, Classification, and Summarization.
IEEE Trans. Multim., 2020
Predicting Personality from Book Preferences with User-Generated Content Labels.
IEEE Trans. Affect. Comput., 2020
Federated Learning with Diversified Preference for Humor Recognition.
CoRR, 2020
Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains.
CoRR, 2020
Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss.
CoRR, 2020
2019
Searching for Stage-wise Neural Graphs In the Limit.
CoRR, 2019
Does Interpretability of Neural Networks Imply Adversarial Robustness?
CoRR, 2019
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks.
CoRR, 2019
Joint Event Detection and Description in Continuous Video Streams.
Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2019
Understanding Actors and Evaluating Personae with Gaussian Embeddings.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization.
IEEE Trans. Affect. Comput., 2018
Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters.
CoRR, 2018
LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH).
CoRR, 2018
Annotating High-Level Structures of Short Stories and Personal Anecdotes.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH).
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent.
Proceedings of the Intelligent Virtual Agents - 17th International Conference, 2017
Predicting the Quality of Short Narratives from Social Media.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Game Engine Learning from Video.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Scheduling Live Interactive Narratives with Mixed-Integer Linear Programming.
Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017
Collaborative Storytelling between Robot and Child: A Feasibility Study.
Proceedings of the 2017 Conference on Interaction Design and Children, 2017
2016
The AIIDE 2015 Workshop Program.
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AI Mag., 2016
Video Emotion Recognition with Transferred Deep Feature Encodings.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016
Semi-situated learning of verbal and nonverbal content for repeated human-robot interaction.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016
PlotShot: Generating Discourse-Constrained Stories Around Photos.
Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2016
Multiplicative Representations for Unsupervised Semantic Role Induction.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2015
Learning knowledge to support domain-independent narrative intelligence.
PhD thesis, 2015
An Evolutionary Framework for Multi-agent Organizations.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015
Crowdsourcing Open Interactive Narrative.
Proceedings of the 10th International Conference on the Foundations of Digital Games, 2015
Scheherazade: Crowd-Powered Interactive Narrative Generation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
From Data to Storytelling Agents.
Proceedings of the Intelligent Virtual Agents - 14th International Conference, 2014
Storytelling with Adjustable Narrator Styles and Sentiments.
Proceedings of the Interactive Storytelling, 2014
2013
Crowdsourcing interactive fiction games.
Proceedings of the 8th International Conference on the Foundations of Digital Games, 2013
Story Generation with Crowdsourced Plot Graphs.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
Toward Autonomous Crowd-Powered Creation of Interactive Narratives.
Proceedings of the 5th Workshop on Intelligent Narrative Technologies, 2012
Goal-Driven Conceptual Blending: A Computational Approach for Creativity.
Proceedings of the Third International Conference on Computational Creativity, 2012
Learning Sociocultural Knowledge via Crowdsourced Examples.
Proceedings of the 4th Human Computation Workshop, 2012
2011
Automated Scenario Adaptation in Support of Intelligent Tutoring Systems.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011
Creative gadget design in fictions: generalized planning in analogical spaces.
Proceedings of the 8th Conference on Creativity & Cognition, 2011
Distributed creative cognition in digital filmmaking.
Proceedings of the 8th Conference on Creativity & Cognition, 2011
Robust and Authorable Multiplayer Storytelling Experiences.
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011
A Phone That Cures Your Flu: Generating Imaginary Gadgets in Fictions with Planning and Analogies.
Proceedings of the Intelligent Narrative Technologies IV, 2011
2010
Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps.
IEEE Computer Graphics and Applications, 2010
An Offline Planning Approach to Game Plotline Adaptation.
Proceedings of the Sixth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2010
Creating Customized Game Experiences by Leveraging Human Creative Effort: A Planning Approach.
Proceedings of the Agents for Games and Simulations II, 2010
2009
Evolutionary organizational search.
Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009
2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
The national weather sensor grid.
Proceedings of the 5th International Conference on Embedded Networked Sensor Systems, 2007