activity
20222026
most citedEvaluating Persian Tokenizers

1 citations · 2 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

SATURN: Symbolic Spatial Reasoning for Multi-Perspective Grounding

Danial Kamali, Tanawan Premsri, Shreya Rajpal +3

Vision-Language Models (VLMs) remain unreliable when spatial reasoning requires composing relations whose meanings depend on frames of reference. Existing tool-augmented spatial re…

cs.AI2026

An Agentic Framework for Neuro-Symbolic Programming

Aliakbar Nafar, Chetan Chigurupati, Danial Kamali +2

Integrating symbolic constraints into deep learning models could make them more robust, interpretable, and data-efficient. Still, it remains a time-consuming and challenging task.…

cs.AI2025

NePTune: A Neuro-Pythonic Framework for Tunable Compositional Reasoning on Vision-Language

Danial Kamali, Parisa Kordjamshidi

Modern Vision-Language Models (VLMs) have achieved impressive performance in various tasks, yet they often struggle with compositional reasoning, the ability to decompose and recom…

cs.AI2025

Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis

Sania Sinha, Tanawan Premsri, Danial Kamali +1

Neurosymbolic (NeSy) frameworks combine neural representations and learning with symbolic representations and reasoning. Combining the reasoning capacities, explainability, and int…

cs.CL2024

NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization

Danial Kamali, Elham J. Barezi, Parisa Kordjamshidi

Compositional generalization is crucial for artificial intelligence agents to solve complex vision-language reasoning tasks. Neuro-symbolic approaches have demonstrated promise in…

cs.CL2023★ 1 cited

Syntax-Guided Transformers: Elevating Compositional Generalization and Grounding in Multimodal Environments

Danial Kamali, Parisa Kordjamshidi

Compositional generalization, the ability of intelligent models to extrapolate understanding of components to novel compositions, is a fundamental yet challenging facet in AI resea…

cs.CL2022

Using Persuasive Writing Strategies to Explain and Detect Health Misinformation

Danial Kamali, Joseph Romain, Huiyi Liu +3

Nowadays, the spread of misinformation is a prominent problem in society. Our research focuses on aiding the automatic identification of misinformation by analyzing the persuasive…

cs.CL2022★ 1 cited

Evaluating Persian Tokenizers

Danial Kamali, Behrooz Janfada, Mohammad Ebrahim Shenasa +1

Tokenization plays a significant role in the process of lexical analysis. Tokens become the input for other natural language processing tasks, like semantic parsing and language mo…