Muhammad Khalifa
15 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Artificial Intelligence
(11)
Natural Language Processing
(11)
Machine Learning
(10)
Core AI
(9)
Learning Types Β· Machine Learning
(7)
Generation
(5)
Deep Learning
(4)
Applications Β· Natural Language Processing
(3)
Learning Types Β· Deep Learning
(3)
Computer Science
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Application Areas
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Applications Β· Computer Science
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Learning Paradigms
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Optimization & Theory
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Resources & Methods
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Keywords
language model
(7)
large language model
(3)
few-shot learning
(2)
controlled text generation
(2)
contrastive learning
(2)
energy-based model
(2)
model calibration
(1)
policy gradient
(1)
zero-shot learning
(1)
kl divergence
(1)
question answering
(1)
chain-of-thought reasoning
(1)
named entity recognition
(1)
text summarization
(1)
part-of-speech tagging
(1)
multilingual nlp
(1)
arabic dialect
(1)
program synthesis
(1)
factual accuracy
(1)
context understanding
(1)
Papers
FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs
EMNLP 2025
On Many-Shot In-Context Learning for Long-Context Evaluation
ACL 2025
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
COLING 2024
Learning to Reason via Program Generation, Emulation, and Search
NeurIPS 2024
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses
ICLR 2024
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
ACL 2024
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases
ACL 2023
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents
ACL 2023
Few-shot Reranking for Multi-hop QA via Language Model Prompting
ACL 2023
GRACE: Discriminator-Guided Chain-of-Thought Reasoning
EMNLP 2023
Merging Generated and Retrieved Knowledge for Open-Domain QA
EMNLP 2023
A Bag of Tricks for Dialogue Summarization
EMNLP 2021
A Distributional Approach to Controlled Text Generation
ICLR 2021
Extracting Synonyms from Bilingual Dictionaries
EACL 2021
Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling
EACL 2021