#context-selection News & Analysis

2 articles tagged with #context-selection. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 116/10

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CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching

CRUMB is a new inference wrapper that makes prior-fitted networks (PFNs) more practical for large datasets by clustering test queries and selecting distributionally matched training subsets using maximum mean discrepancy minimization. The technique is architecture-agnostic, requires no retraining, and demonstrates superior performance across multiple PFN models on tabular benchmarks.

AINeutralarXiv – CS AI · Jun 96/10

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Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents

Researchers introduce CICL, a decision-aware context layer that improves how language model agents select and compress relevant information for tool use. By scoring evidence based on action criticality and packing high-utility data as typed memory cards, the system achieves significant performance gains on code retrieval benchmarks, raising hit rates from 58% to 78% on SWE-bench tasks.

🧠 GPT-5