A major challenge in AI research is how to develop models that can balance fast, intuitive reasoning …
Tag:
Reasoning
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Graph-Constrained Reasoning (GCR): A Novel AI Framework that Bridges Structured Knowledge in Knowledge Graphs with Unstructured Reasoning in LLMs
by Techaiappby Techaiapp 3 minutes readLarge language models (LLMs) have demonstrated significant reasoning capabilities, yet they face issues like hallucinations and the …
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Salesforce AI Introduces ReGenesis: A Novel AI Approach to Improving Large Language Model Reasoning Capabilities
by Techaiappby Techaiapp 5 minutes readLarge language models (LLMs) have revolutionized how machines process and generate human language, but their ability to …
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Google DeepMind Introduces Omni×R: A Comprehensive Evaluation Framework for Benchmarking Reasoning Capabilities of Omni-Modality Language Models Across Text, Audio, Image, and Video Inputs
by Techaiappby Techaiapp 6 minutes readOmni-modality language models (OLMs) are a rapidly advancing area of AI that enables understanding and reasoning across …
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GraphIC: A Novel Machine Learning Approach that Leverages Graph-based Representations of Reasoning Processes Coupled with Bayesian Networks (BNs) to Select In-Context Examples (ICE)
by Techaiappby Techaiapp 3 minutes readIn-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in …
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From Prediction to Reasoning: Evaluating o1’s Impact on LLM Probabilistic Biases
by Techaiappby Techaiapp 3 minutes readLarge language models (LLMs) have gained significant attention in recent years, but understanding their capabilities and limitations …
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CodePMP: A Scalable Preference Model Pre-training for Supercharging Large Language Model Reasoning
by Techaiappby Techaiapp 4 minutes readLarge Language Models (LLMs) have made considerable advancements in natural language understanding and generation through scalable pretraining …
