Tag: AI reasoning
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Understanding Hallucinations in LLMs via Graph Path Analysis
Explore how path reuse and compression cause reasoning hallucinations in large language models, improving AI accuracy and context adherence.
TABQAWORLD: Efficient Multimodal Table QA Optimization
Discover TABQAWORLD, a training-free framework optimizing multimodal reasoning for accurate, low-latency multi-turn table question answering.
PROGRS: Enhancing LLM Reasoning with Process Rewards
Discover PROGRS, a framework improving LLM mathematical reasoning by combining process rewards and outcome correctness for accurate, efficient AI solutions...
FoE: Why First Solutions Excel in Large Reasoning Models
Discover how the Forest of Errors (FoE) makes first solutions the best in large reasoning models, improving accuracy and efficiency with the RED framework.
Neuro-Symbolic Reasoning for Advanced AI Systems
Explore neuro-symbolic reasoning combining neural networks and symbolic methods to boost AI generalization and abstraction in complex tasks.