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Found 4 papers, 1 papers with code
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm
To improve the contextual learning capabilities of LLMs in text-to-SQL, a workflow paradigm method is proposed, aiming to enhance the attention and problem-solving scope of LLMs through decomposition.
Olapa-MCoT: Enhancing the Chinese Mathematical Reasoning Capability of LLMs
CoT (Chain-of-Thought) is a way to solve reasoning problems for LLMs .
OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities
At present, most approaches focus on chains of thought (COT) and tool use, without considering the adoption and application of human cognitive frameworks.
Domain Adaptation with Incomplete Target Domains
In the proposed model, we design a data imputation module to fill the missing feature values based on the partial observations in the target domain, while aligning the two domains via deep adversarial adaption.
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