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In this tutorial, we build an Agentic Data and Infrastructure Strategy system using the lightweight Qwen2.5-0.5B-Instruct model for efficient execution....
arXiv:2510.25117v1 Announce Type: new Abstract: The advancement of Large Language Models (LLMs) has revolutionized natural language processing, yet their training...
arXiv:2510.24762v1 Announce Type: new Abstract: We introduce Falcon, a cross-domain Chinese text-to-SQL benchmark grounded in an enterprise-compatible dialect (MaxCompute/Hive). It...
arXiv:2510.25536v1 Announce Type: new Abstract: Large Language Models (LLMs) are exhibiting emergent human-like abilities and are increasingly envisioned as the...
arXiv:2510.24789v1 Announce Type: new Abstract: Watermarking has been proposed as a lightweight mechanism to identify AI-generated text, with schemes typically...
Small models are often blocked by poor instruction tuning, weak tool use formats, and missing governance. IBM AI team released...
arXiv:2510.24179v1 Announce Type: new Abstract: This paper explores the influence of external knowledge integration in Natural Language Generation (NLG), focusing...
arXiv:2510.23884v1 Announce Type: new Abstract: We explore a lightweight framework that adapts frozen large language models to analyze longitudinal clinical...
arXiv:2405.07883v2 Announce Type: replace Abstract: Language models (LMs) are bound to their tokenizer, which maps raw text to a sequence...
DEPTH: Hallucination-Free Relation Extraction via Dependency-Aware Sentence Simplification and Two-tiered Hierarchical Refinement
