Latest Articles for Reasoning

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.

This paper reviews the benefits of many-shot learning in language models.

Introducing a self-guided approach for better reasoning in language models.

Enhancing QA systems through fine-tuning and reasoning for better finance insights.

This study examines how language models handle different expressions of the same reasoning problems.

AI agents are shaping how we tackle tasks and challenges efficiently.

New dataset Square-10M significantly boosts open-source visual question answering capabilities.

Research improves reasoning clarity in language models for better accuracy.

A new benchmark assesses language models' understanding of linguistic competence.

Research uncovers concerns about large language models' math reasoning skills.

New dataset improves model performance on multi-image tasks.

This study evaluates how model size and quantization impact language model performance.

Assessing the capabilities and challenges of advanced video understanding models.

Learn how enhancing UI agents can create better user experiences.

This study analyzes how language models recover from reasoning errors during tasks.

Exploring the role of AI in fixing software vulnerabilities.

MindStar framework improves reasoning skills in language models efficiently.

A new method tackles ethical concerns in language models.

MMLU-Pro challenges language models with harder questions and more answer options.

New methods aim to enhance reasoning capabilities in language models.

Recent tests reveal LLMs' weaknesses in simple reasoning despite high benchmark scores.

Study evaluates how well LLMs reason beyond immediate context.

A new benchmark aims to assess MLLMs in video understanding across multiple topics.

A benchmark created to improve comprehension of long video content.

A new framework enhances reasoning in language models through visual sketches.

A study highlights gaps in reasoning abilities of LLMs for math problem solving.

VideoVista offers a comprehensive evaluation for video question-answering models.

DetectBench evaluates LLMs on their ability to detect hidden evidence in reasoning tasks.

Examining how neuron activation enhances arithmetic reasoning in large language models.

A new benchmark evaluates reasoning skills in language models.

AIPS showcases potential in solving complex algebraic inequalities independently.

This article discusses how RAG systems enhance text generation using external information.

A study examines how well LLMs reason with graph data.

New methods refine reasoning skills in language models for better task performance.

A new method enhances accuracy in question-answering for black-box language models.

A new synthetic dataset enhances training for multimodal AI models.

Improving how machines answer visual questions through structured reasoning.