Arkil Patel
9 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🌍 Conference Polyglot · Silver
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Topic Evolution
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Unstoppable · Bronze
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Research topics
Artificial Intelligence
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Machine Learning
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Core AI
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Deep Learning
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Optimization & Theory · Machine Learning
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Architectures
(3)
Core Methods
(2)
Learning Types · Machine Learning
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Learning Types · Deep Learning
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Computer Vision
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Natural Language Processing
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Domain-Specific
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Generation
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Optimization & Theory · Deep Learning
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Keywords
in-context learning
(3)
compositional generalization
(2)
large language model
(2)
sample efficiency
(1)
attention mechanism
(1)
sensitivity analysis
(1)
natural language processing
(1)
model evaluation
(1)
semantic parsing
(1)
code generation
(1)
neural network optimization
(1)
language grounding
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learning algorithm
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question answering
(1)
benchmark evaluation
(1)
boolean function
(1)
inductive bia
(1)
benchmark dataset
(1)
positional encoding
(1)
sequence modeling
(1)
Papers
SafeArena: Evaluating the Safety of Autonomous Web Agents
ICML 2025
Evaluating In-Context Learning of Libraries for Code Generation
NAACL 2024
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
ICLR 2024
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations
EMNLP 2023
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions
ACL 2023
Revisiting the Compositional Generalization Abilities of Neural Sequence Models
ACL 2022
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks
EMNLP 2022
Are NLP Models really able to Solve Simple Math Word Problems?
NAACL 2021
On the Computational Power of Transformers and Its Implications in Sequence Modeling
CoNLL 2020