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arXiv:2603.13514v1 Announce Type: new Abstract: The Logic Theorist (LT), created by Allen Newell, J. C. Shaw, and Herbert Simon in 1955-1956, is widely regarded as …
arXiv:2603.13752v1 Announce Type: new Abstract: Recently, Transformer-based architectures have advanced meteorological prediction. However, this position-centric tokenizer conflicts with the core principle of meteorological systems, where …
arXiv:2603.13796v1 Announce Type: new Abstract: High dialogue engagement is a crucial indicator of an effective conversation. A reliable measure of engagement could help benchmark large …
arXiv:2603.13853v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG), based on large language models (LLMs), serves as a vital approach to retrieving and leveraging external knowledge …
arXiv:2603.13875v1 Announce Type: new Abstract: Many large language model applications require conditioning on long contexts. Transformers typically support this by storing a large per-layer KV-cache …
arXiv:2603.13891v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for automated text annotation in tasks ranging from academic research to content moderation …
arXiv:2603.13933v1 Announce Type: new Abstract: Ensuring the safety and compliance of large language models (LLMs) is of paramount importance. However, existing LLM safety datasets often …
arXiv:2603.13950v1 Announce Type: new Abstract: Large Language Model (LLM) agents increasingly use external tools for complex tasks and rely on embedding-based retrieval to select a …
arXiv:2603.13962v1 Announce Type: new Abstract: Clinical question answering over electronic health records (EHRs) can help clinicians and patients access relevant medical information more efficiently. However, …
arXiv:2603.13972v1 Announce Type: new Abstract: Modern large language model training is no longer limited by data availability, but by the inability of existing preprocessing pipelines …
arXiv:2603.14006v1 Announce Type: new Abstract: GraphRAG is increasingly adopted for converting unstructured corpora into graph structures to enable multi-hop reasoning. However, standard graph algorithms rely …
arXiv:2603.14027v1 Announce Type: new Abstract: Political speakers often avoid answering questions directly while maintaining the appearance of responsiveness. Despite its importance for public discourse, such …