aiBACKGROUND
Read, Grep, and Synthesize: Diagnosing Cross-Domain Seed Exposure for LLM Resear
BACKGROUND
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How the story developed
13 May
Read, Grep, and Synthesize: Diagnosing Cross-Domain Seed Exposure for LLM Research Ideation
REPORT · WHAT · ArXiv CS.AI
6.0
Other feeds and industry voices
8 Apr
Towards Effective In-context Cross-domain Knowledge Transfer via Domain-invariant-neurons-based Retrieval
arXiv:2604.05383v1 Announce Type: new Abstract: Large language models (LLMs) have made notable progress in logical reasoning, yet still fall short of human-level performance.
REPORT · HOW · ArXiv CS.AIOPEN STORY
8 Apr
Reason Analogically via Cross-domain Prior Knowledge: An Empirical Study of Cross-domain Knowledge Transfer for In-Context Learning
arXiv:2604.05396v1 Announce Type: new Abstract: Despite its success, existing in-context learning (ICL) relies on in-domain expert demonstrations, limiting its applicability when
REPORT · WHEN · ArXiv CS.AIOPEN STORY
25 Jun
Diagnosing and Mitigating Compounding Failures in Agentic Persuasion via Taxonomic Strategy Retrieval
arXiv:2606.24976v1 Announce Type: new Abstract: Foundation-model agents in multi-step, open-ended environments frequently suffer from compounding errors, where early mistakes
REPORT · WHERE · ArXiv CS.AIOPEN STORY
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