Ensemble Learning for Irony Detection in Arabic Tweets. - Muhammad Khalifa; Noura Hussein (FIRE (Working Notes), 2019)

Character convolutions for Arabic Named Entity Recognition with Long Short-Term Memory Networks. - Muhammad Khalifa; Khaled Shaalan (Comput. Speech Lang., 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)

Will Your Forthcoming Book be Successful? Predicting Book Success with CNN and Readability Scores. - Muhammad Khalifa; Aminul Islam 001 (CoRR, 2020)

Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling. - Muhammad Khalifa; Muhammad Abdul-Mageed; Khaled Shaalan (EACL, 2021)

A Bag of Tricks for Dialogue Summarization. - Muhammad Khalifa; Miguel Ballesteros; Kathleen R. McKeown (EMNLP (1), 2021)

A Distributional Approach to Controlled Text Generation. - Muhammad Khalifa; Hady Elsahar; Marc Dymetman (ICLR, 2021)

Extracting Synonyms from Bilingual Dictionaries. - Mustafa Jarrar; Eman Karajah; Muhammad Khalifa; Khaled Shaalan (GWC, 2021)

Zero-Resource Multi-Dialectal Arabic Natural Language Understanding. - Muhammad Khalifa; Hesham Hassan; Aly Fahmy (CoRR, 2021)

Book Success Prediction with Pretrained Sentence Embeddings and Readability Scores. - Muhammad Khalifa; Aminul Islam 001 (HICSS, 2022)

LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (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)

Few-shot Reranking for Multi-hop QA via Language Model Prompting. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (ACL (1), 2023)

Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents. - Muhammad Khalifa; Yogarshi Vyas; Shuai Wang; Graham Horwood; Sunil Mallya; Miguel Ballesteros (ACL (Findings), 2023)

BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. - Xin Liu; Muhammad Khalifa; Lu Wang 008 (ACL (2), 2023)

GRACE: Discriminator-Guided Chain-of-Thought Reasoning. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (EMNLP (Findings), 2023)

Merging Generated and Retrieved Knowledge for Open-Domain QA. - Yunxiang Zhang; Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (EMNLP, 2023)

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (CoRR, 2023)

Discriminator-Guided Multi-step Reasoning with Language Models. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2023)

Exploring Demonstration Ensembling for In-context Learning. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2023)

LitCab: Lightweight Calibration of Language Models on Outputs of Varied Lengths. - Xin Liu; Muhammad Khalifa; Lu Wang 008 (CoRR, 2023)

Small Language Models Need Strong Verifiers to Self-Correct Reasoning. - Yunxiang Zhang; Muhammad Khalifa; Lajanugen Logeswaran; Jaekyeom Kim; Moontae Lee; Honglak Lee; Lu Wang 008 (ACL (Findings), 2024)

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (LREC/COLING, 2024)

LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses. - Xin Liu; Muhammad Khalifa; Lu Wang 008 (ICLR, 2024)

Learning to Reason via Program Generation, Emulation, and Search. - Nathaniel Weir; Muhammad Khalifa; Linlu Qiu; Orion Weller; Peter Clark (NeurIPS, 2024)

Source-Aware Training Enables Knowledge Attribution in Language Models. - Muhammad Khalifa; David Wadden; Emma Strubell; Honglak Lee; Lu Wang 008; Iz Beltagy; Hao Peng 009 (CoRR, 2024)

FactCheckmate: Preemptively Detecting and Mitigating Hallucinations in LMs. - Deema Alnuhait; Neeraja Kirtane; Muhammad Khalifa; Hao Peng 009 (CoRR, 2024)

Retrieval or Global Context Understanding? On Many-Shot In-Context Learning for Long-Context Evaluation. - Kaijian Zou; Muhammad Khalifa; Lu Wang 008 (CoRR, 2024)

If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs. - Muhammad Khalifa; Yi Chern Tan; Arash Ahmadian; Tom Hosking; Honglak Lee; Lu Wang 008; Ahmet Üstün; Tom Sherborne; Matthias Gallé (CoRR, 2024)

On Many-Shot In-Context Learning for Long-Context Evaluation. - Kaijian Zou; Muhammad Khalifa; Lu Wang 008 (ACL (1), 2025)

MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? - Yunxiang Zhang; Muhammad Khalifa; Shitanshu Bhushan; Grant D. Murphy; Lajanugen Logeswaran; Jaekyeom Kim; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2025)

Process Reward Models That Think. - Muhammad Khalifa; Rishabh Agarwal; Lajanugen Logeswaran; Jaekyeom Kim; Hao Peng 009; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2025)

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training. - Yunxiang Zhang; Muhammad Khalifa; Lechen Zhang; Xin Liu; Ayoung Lee; Xinliang Frederick Zhang; Farima Fatahi Bayat; Lu Wang 008 (CoRR, 2025)