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Manar H. Alalfi

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#artificial intelligence Preprint Sep 2026

Escaping Python Dependency Hell: A Hybrid Replay-and-Repair Pipeline for Python Dependency Resolution

PLLM+, a hybrid dependency-repair pipeline evaluated on the HG2.9K benchmark, suggests that deterministic reuse of previously validated dependency configurations is a simple and effective strategy, with LLM-based repair serving as a secondary fallback for cases not covered by prior solutions.

Veronica Poweska, A. Oyanguren, Jessica Pourleyli et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Selective Forgetting: A Graph-Based Memory Framework for Long-Term LLM Agents

The framework extracts each conversational turn into typed nodes and attributed edges, answers questions from a two-hop subgraph, and periodically prunes nodes that score low on a weighted combination of recency, access frequency, degree centrality, and age.

Theo Rusu, S. Khanzadeh, Manar H. Alalfi · 2 citations · ⚡1

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