Faisal Ladhak

According to our database, Faisal Ladhak authored at least 34 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Benchmarking Large Language Models for News Summarization.

Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen R. McKeown, Tatsunori B. Hashimoto

Trans. Assoc. Comput. Linguistics, 2024

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Benjamin Warner, Antoine Chaffin, Benjamin Clavié, Orion Weller, Oskar Hallström, Said Taghadouini, Alexis Gallagher, Raja Biswas, Faisal Ladhak, Tom Aarsen, Nathan Cooper, Griffin Adams, Jeremy Howard, Iacopo Poli

CoRR, 2024

Incorporating Human Explanations for Robust Hate Speech Detection.

Jennifer L. Chen, Faisal Ladhak, Daniel Li, Noémie Elhadad

CoRR, 2024

Proving Test Set Contamination in Black-Box Language Models.

Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori Hashimoto

Proceedings of the Twelfth International Conference on Learning Representations, 2024

STORYSUMM: Evaluating Faithfulness in Story Summarization.

Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Adams, Lydia B. Chilton, Kathleen R. McKeown

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Aligning Large Language Models via Fine-grained Supervision.

Dehong Xu, Liang Qiu, Minseok Kim, Faisal Ladhak, Jaeyoung Do

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Holistic Evaluation of Language Models.

Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

Trans. Mach. Learn. Res., 2023

Evaluating Human-Language Model Interaction.

Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang

Trans. Mach. Learn. Res., 2023

From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting.

Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Eric Lehman, Noémie Elhadad

CoRR, 2023

Whose Opinions Do Language Models Reflect?

Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto

Proceedings of the International Conference on Machine Learning, 2023

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale.

Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization.

Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Contrastive Error Attribution for Finetuned Language Models.

Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Generating EDU Extracts for Plan-Guided Summary Re-Ranking.

Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Noémie Elhadad, Kathleen R. McKeown

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Tracing and Removing Data Errors in Natural Language Generation Datasets.

Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto

CoRR, 2022

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing.

Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryscinski, Faisal Ladhak, Bryan Li, Kathleen R. McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman

CoRR, 2022

Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection.

Hardy Hardy, Miguel Ballesteros, Faisal Ladhak, Muhammad Khalifa, Vittorio Castelli, Kathleen R. McKeown

CoRR, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou

CoRR, 2022

Improving Faithfulness by Augmenting Negative Summaries from Fake Documents.

Tianshu Wang, Faisal Ladhak, Esin Durmus, He He

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection.

Badr AlKhamissi, Faisal Ladhak, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona T. Diab

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization.

Elsbeth Turcan, David Wan, Faisal Ladhak, Petra Galuscáková, Sukanta Sen, Svetlana Tchistiakova, Weijia Xu, Marine Carpuat, Kenneth Heafield, Douglas W. Oard, Kathleen R. McKeown

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization.

Faisal Ladhak, Esin Durmus, He He, Claire Cardie, Kathleen R. McKeown

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

Spurious Correlations in Reference-Free Evaluation of Text Generation.

Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto

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

2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou

CoRR, 2021

Segmenting Subtitles for Correcting ASR Segmentation Errors.

David Wan, Chris Kedzie, Faisal Ladhak, Elsbeth Turcan, Petra Galuscáková, Elena Zotkina, Zhengping Jiang, Peter Bell, Kathleen R. McKeown

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization.

Faisal Ladhak, Esin Durmus, Claire Cardie, Kathleen R. McKeown

CoRR, 2020

Incorporating Terminology Constraints in Automatic Post-Editing.

David Wan, Chris Kedzie, Faisal Ladhak, Marine Carpuat, Kathleen R. McKeown

Proceedings of the Fifth Conference on Machine Translation, 2020

WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization.

Faisal Ladhak, Esin Durmus, Claire Cardie, Kathleen R. McKeown

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging.

Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Exploring Content Selection in Summarization of Novel Chapters.

Faisal Ladhak, Bryan Li, Yaser Al-Onaizan, Kathleen R. McKeown

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

The Role of Pragmatic and Discourse Context in Determining Argument Impact.

Esin Durmus, Faisal Ladhak, Claire Cardie

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Determining Relative Argument Specificity and Stance for Complex Argumentative Structures.

Esin Durmus, Faisal Ladhak, Claire Cardie

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A neural interlingua for multilingual machine translation.

Yichao Lu, Phillip Keung, Faisal Ladhak, Vikas Bhardwaj, Shaonan Zhang, Jason Sun

Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

2016

LatticeRnn: Recurrent Neural Networks Over Lattices.

Faisal Ladhak, Ankur Gandhe, Markus Dreyer, Lambert Mathias, Ariya Rastrow, Björn Hoffmeister

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016