Latest Articles for Reasoning

Combining machine learning with traditional reasoning to tackle ontology challenges.

New methods for improving reasoning in N3 with existential rules are explored.

A look into the important skills for assessing large language models.

A new method improves reasoning abilities in language models using graphs.

A new benchmark aims to reduce false information in healthcare applications of LLMs.

This paper assesses the logical reasoning capabilities of OpenAI's CLIP model.

We enhance VQA models by incorporating reasoning, leading to better visual understanding.

This work assesses how well VLMs reason based on visual content.

A look into how LLMs perform on reasoning tasks compared to humans.

Exploring the relational bottleneck and its role in understanding abstract concepts.

This research highlights re-reading's role in enhancing reasoning skills for language models.

New data source enhances machine learning models in reasoning tasks.

This study examines language models' grasp of cultural proverbs across languages.

A look at how Contrastive Decoding improves reasoning in language models.

Choice-75 tests language models on decision-making through detailed scenarios.

A look into how children deduce their muddy status through reasoning.

Code prompts enhance reasoning performance in large language models like GPT 3.5.

Enhancing LMMs to reason and ask questions for better accuracy.

A new benchmark assesses AI models' abilities in geometry problem-solving.

Researching how AI can understand human thoughts and feelings.

A study reveals gaps in LLMs' understanding of logic rules compared to humans.

Language models excel at text but lack sensory understanding.

A new method enhances reasoning capabilities in Large Language Models.

This study assesses LLMs' memory, recall, and reasoning capabilities.

Analyzing the effects of reasoning methods on large language models' performance.

This study examines if language models can match human forecasting abilities.

A new system to identify phishing emails with high accuracy and clear reasoning.

This research examines the shift from intentional to unintentional actions in videos.

A new dataset aims to enhance AI's grasp of scientific images and reasoning.

NPHardEval4V assesses reasoning capabilities of multimodal large language models.

CLEVR-POC dataset enhances reasoning in visual question answering by using hidden object scenarios.

A look at the difficulties computers face in visual puzzle solving.

Methods to minimize bias in large language models for fairer outcomes.

Assessing the reasoning abilities of LLMs through the ARC benchmark.

This article discusses methods to enhance the reasoning abilities of language models.

Meerkat-7B sets a new standard for open-source medical language models.

This study examines how transformer depth affects learning tasks.

New models enhance reasoning skills across various tasks, improving AI performance.

Examining how Generative AI can enhance decision-making in mobile telecommunications.

A new framework enhances prediction confidence through learning and reasoning.