Faisal Ladhak
Faisal Ladhak
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On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
Using deep learning to enhance cancer diagnosis and classification
R Fakoor, F Ladhak, A Nazi, M Huber
The 30th International Conference on Machine Learning (ICML 2013), WHEALTH …, 2013
Holistic evaluation of language models
P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ...
arXiv preprint arXiv:2211.09110, 2022
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
F Ladhak, E Durmus, C Cardie, K McKeown
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
The gem benchmark: Natural language generation, its evaluation and metrics
S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ...
arXiv preprint arXiv:2102.01672, 2021
Benchmarking large language models for news summarization
T Zhang, F Ladhak, E Durmus, P Liang, K McKeown, TB Hashimoto
Transactions of the Association for Computational Linguistics 12, 39-57, 2024
Whose opinions do language models reflect?
S Santurkar, E Durmus, F Ladhak, C Lee, P Liang, T Hashimoto
arXiv preprint arXiv:2303.17548, 2023
A neural interlingua for multilingual machine translation
Y Lu, P Keung, F Ladhak, V Bhardwaj, S Zhang, J Sun
Proceedings of the Third Conference on Machine Translation: Research Papers …, 2018
Easily accessible text-to-image generation amplifies demographic stereotypes at large scale
F Bianchi, P Kalluri, E Durmus, F Ladhak, M Cheng, D Nozza, ...
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
Lattice encoding using recurrent neural networks
F Ladhak, A Gandhe, M Dreyer, A Rastrow, B Hoffmeister, L Mathias
US Patent 10,176,802, 2019
LATTICE RNN: Recurrent neural networks over lattices
F Ladhak, A Gandhe, M Dreyer, L Mathias, A Rastrow, B Hoffmeister
Faithful or extractive? on mitigating the faithfulness-abstractiveness trade-off in abstractive summarization
F Ladhak, E Durmus, H He, C Cardie, K McKeown
arXiv preprint arXiv:2108.13684, 2021
Evaluating human-language model interaction
M Lee, M Srivastava, A Hardy, J Thickstun, E Durmus, A Paranjape, ...
arXiv preprint arXiv:2212.09746, 2022
Exploring Content Selection in Summarization of Novel Chapters
F Ladhak, B Li, Y Al-Onaizan, K McKeown
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
Spurious Correlations in Reference-Free Evaluation of Text Generation
E Durmus, F Ladhak, T Hashimoto
arXiv preprint arXiv:2204.09890, 2022
To BERT or not to BERT: Comparing task-specific and task-agnostic semi-supervised approaches for sequence tagging
K Bhattacharjee, M Ballesteros, R Anubhai, S Muresan, J Ma, F Ladhak, ...
arXiv preprint arXiv:2010.14042, 2020
The role of pragmatic and discourse context in determining argument impact
E Durmus, F Ladhak, C Cardie
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
Determining Relative Argument Specificity and Stance for Complex Argumentative Structures
E Durmus, F Ladhak, C Cardie
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Proving test set contamination in black box language models
Y Oren, N Meister, N Chatterji, F Ladhak, TB Hashimoto
arXiv preprint arXiv:2310.17623, 2023
Token: Task decomposition and knowledge infusion for few-shot hate speech detection
B AlKhamissi, F Ladhak, S Iyer, V Stoyanov, Z Kozareva, X Li, P Fung, ...
arXiv preprint arXiv:2205.12495, 2022
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