Hamid Palangi

CoRR, 2024

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Teaching Language Models to Hallucinate Less with Synthetic Tasks.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Ece Kamar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Orca 2: Teaching Small Language Models How to Reason.

[BibT_eX]

[DOI]

Anastasia Razdaibiedina

CoRR, 2023

A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Diversity of Thought Improves Reasoning Abilities of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Pre-trained Language Models' Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

[BibT_eX]

[DOI]

CoRR, 2023

Sparks of Artificial General Intelligence: Early experiments with GPT-4.

[BibT_eX]

[DOI]

CoRR, 2023

An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models.

[BibT_eX]

[DOI]

Saghar Hosseini

Ahmed Hassan Awadallah

CoRR, 2023

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval.

[BibT_eX]

[DOI]

Ida Momennejad

Hosein Hasanbeig

Felipe Vieira Frujeri

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors.

[BibT_eX]

[DOI]

Tom Hartvigsen

Swami Sankaranarayanan

Yoon Kim

Marzyeh Ghassemi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving the Reusability of Pre-trained Language Models in Real-world Applications.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning.

[BibT_eX]

[DOI]

Yu Yang

Besmira Nushi

Madeline Chantry Schiappa

Baharan Mirzasoleiman

Proceedings of the International Conference on Machine Learning, 2023

A Large-Scale Robustness Analysis of Video Action Recognition Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness.

[BibT_eX]

[DOI]

Abdelrahman Zayed

Prasanna Parthasarathi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Benchmarking Spatial Relationships in Text-to-Image Generation.

[BibT_eX]

[DOI]

CoRR, 2022

Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-modal Robustness Analysis Against Language and Visual Perturbations.

[BibT_eX]

[DOI]

CoRR, 2022

Large-scale Robustness Analysis of Video Action Recognition Models.

[BibT_eX]

[DOI]

CoRR, 2022

Robustness Analysis of Video-Language Models Against Visual and Language Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?

[BibT_eX]

[DOI]

Saadia Gabriel

Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

NICE: Neural Image Commenting with Empathy.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Compositional processing emerges in neural networks solving math problems.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language.

[BibT_eX]

[DOI]

CoRR, 2020

Novel Human-Object Interaction Detection via Adversarial Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2020

Mapping natural-language problems to formal-language solutions using structured neural representations.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning".

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Unified Vision-Language Pre-Training for Image Captioning and VQA.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

HUBERT Untangles BERT to Improve Transfer across NLP Tasks.

[BibT_eX]

[DOI]

CoRR, 2019

Natural- to formal-language generation using Tensor Product Representations.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators.

[BibT_eX]

[DOI]

CoRR, 2019

2018

RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2018

Robust Detection of Epileptic Seizures Using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Question-Answering with Grammatically-Interpretable Representations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Convolutional Deep Stacking Networks for distributed compressive sensing.

[BibT_eX]

[DOI]

Rabab Kreidieh Ward

Signal Process., 2017

Deep Learning of Grammatically-Interpretable Representations Through Question-Answering.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Distributed Compressive Sensing: A Deep Learning Approach.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks.

[BibT_eX]

[DOI]

Rabab Kreidieh Ward

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Reconstruction of sparse vectors in compressive sensing with multiple measurement vectors using bidirectional long short-term memory.

[BibT_eX]

[DOI]

Rabab Kreidieh Ward

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Semantic Modelling with Long-Short-Term Memory for Information Retrieval.

[BibT_eX]

[DOI]

CoRR, 2014

Recurrent Deep-Stacking Networks for sequence classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013

Learning Input and Recurrent Weight Matrices in Echo State Networks.

[BibT_eX]

[DOI]

CoRR, 2013

Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors.

[BibT_eX]

[DOI]

Mohammad Shams Esfand Abadi

Proceedings of the IEEE International Conference on Acoustics, 2013

2010

Mean-square performance analysis of the family of selective partial update and selective regressor affine projection algorithms.

[BibT_eX]

[DOI]