#text-processing2 articles

2 articles

AIBullisharXiv – CS AI · 5h ago

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T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning

Researchers introduce Structure of Thought (SoT), a new prompting technique that helps large language models better process text by constructing intermediate structures, showing 5.7-8.6% performance improvements. They also release T2S-Bench, the first benchmark with 1.8K samples across 6 scientific domains to evaluate text-to-structure capabilities, revealing significant room for improvement in current AI models.

AIBullisharXiv – CS AI · 5h ago

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NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference

Researchers developed NRR-Phi, a framework that prevents large language models from prematurely committing to single interpretations of ambiguous text. The system maintains multiple valid interpretations in a non-collapsing state space, achieving 1.087 bits of mean entropy compared to zero for traditional collapse-based models.