Muhammad Khalifa

According to our database, Muhammad Khalifa authored at least 27 papers between 2019 and 2024.

Collaborative distances:

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

2024

FactCheckmate: Preemptively Detecting and Mitigating Hallucinations in LMs.

Deema Alnuhait, Neeraja Kirtane, Muhammad Khalifa, Hao Peng

CoRR, 2024

Learning to Reason via Program Generation, Emulation, and Search.

Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark

CoRR, 2024

Source-Aware Training Enables Knowledge Attribution in Language Models.

Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng

CoRR, 2024

LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses.

Xin Liu, Muhammad Khalifa, Lu Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models.

Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Small Language Models Need Strong Verifiers to Self-Correct Reasoning.

Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

LitCab: Lightweight Calibration of Language Models on Outputs of Varied Lengths.

Xin Liu, Muhammad Khalifa, Lu Wang

CoRR, 2023

Exploring Demonstration Ensembling for In-context Learning.

Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang

CoRR, 2023

Discriminator-Guided Multi-step Reasoning with Language Models.

Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang

CoRR, 2023

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models.

Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea

CoRR, 2023

Merging Generated and Retrieved Knowledge for Open-Domain QA.

Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GRACE: Discriminator-Guided Chain-of-Thought Reasoning.

Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang

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

BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases.

Xin Liu, Muhammad Khalifa, Lu Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents.

Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros

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

Few-shot Reranking for Multi-hop QA via Language Model Prompting.

Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang

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

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

LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA.

Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang

CoRR, 2022

Book Success Prediction with Pretrained Sentence Embeddings and Readability Scores.

Muhammad Khalifa, Aminul Islam

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

Zero-Resource Multi-Dialectal Arabic Natural Language Understanding.

Muhammad Khalifa, Hesham Hassan, Aly Fahmy

CoRR, 2021

Extracting Synonyms from Bilingual Dictionaries.

Mustafa Jarrar, Eman Karajah, Muhammad Khalifa, Khaled Shaalan

Proceedings of the 11th Global Wordnet Conference, 2021

A Distributional Approach to Controlled Text Generation.

Muhammad Khalifa, Hady Elsahar, Marc Dymetman

Proceedings of the 9th International Conference on Learning Representations, 2021

A Bag of Tricks for Dialogue Summarization.

Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling.

Muhammad Khalifa, Muhammad Abdul-Mageed, Khaled Shaalan

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

2020

Will Your Forthcoming Book be Successful? Predicting Book Success with CNN and Readability Scores.

Muhammad Khalifa, Aminul Islam

CoRR, 2020

2019

Relative effects of climate variation and human activities on grassland dynamics in Africa from 2000 to 2015.

Linjing Tong, Yangyang Liu, Qian Wang, Zhaoying Zhang, Jianlong Li, Zhengguo Sun, Muhammad Khalifa

Ecol. Informatics, 2019

Character convolutions for Arabic Named Entity Recognition with Long Short-Term Memory Networks.

Muhammad Khalifa, Khaled Shaalan

Comput. Speech Lang., 2019

Ensemble Learning for Irony Detection in Arabic Tweets.

Muhammad Khalifa, Noura Hussein

Proceedings of the Working Notes of FIRE 2019, 2019