A framework with similarity-based visual token compression, dynamic attention rebalancing, and explicit inductive-deductive chain-of-thought improves multimodal ICL performance across eight benchmarks for open-source VLMs.
Inductive or deductive? rethinking the fundamental reasoning abilities of llms
3 Pith papers cite this work. Polarity classification is still indexing.
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DIP generates multiple diverse rationales, elaborates them into draft plans, and induces a final plan to improve zero-shot reasoning accuracy in LLMs without heavy sampling.
This survey frames foundation agents using brain-inspired modular architectures and reviews challenges in evolution, collaboration, and safety.
citing papers explorer
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Enhancing Multimodal In-Context Learning via Inductive-Deductive Reasoning
A framework with similarity-based visual token compression, dynamic attention rebalancing, and explicit inductive-deductive chain-of-thought improves multimodal ICL performance across eight benchmarks for open-source VLMs.
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Diverge to Induce Prompting: Multi-Rationale Induction for Zero-Shot Reasoning
DIP generates multiple diverse rationales, elaborates them into draft plans, and induces a final plan to improve zero-shot reasoning accuracy in LLMs without heavy sampling.
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Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
This survey frames foundation agents using brain-inspired modular architectures and reviews challenges in evolution, collaboration, and safety.