Experimental results for the paper "Grounding Large Language Models in a Symbolic Formalization Environment for Natural-Language Planning". The archive contains the results of 5,100 formalization sessions. Qwen 3.5 (122B) and GPT-OSS (120B) each formalized the 2,550 Blocksworld, Logistics and Rovers problems of the ben...
Anonymous RiboMotion authors· Zenodo (CERN European Organi...· 0 citations
Third-party Large Language Model (LLM) API gateways are rapidly emerging as unified access points to models offered by multiple vendors. However, the internal routing, caching, and billing policies of these gateways are largely undisclosed, leaving users with limited visibility into whether requests are served by the a...
Guanjie Lin, Yinxin Wan, Shichao Pei et al.· Proceedings of the 2026 ACM...· 0 citations
c as the Ball of Velocity Space — second edition: this was a result about c, not about four pi. In special relativity the set of admissible velocities is a ball of radius c, and under the metric induced by the velocity-addition law it is hyperbolic space of curvature minus one over c squared (Varicak 1910). Here the re...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
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Automated marking systems built on large language models are increasingly proposed as a way toreduce teacher workload and to provide fast, formative feedback on examination-style questions.Before such systems can be trusted for either formative or summative use, however, their markingaccuracy needs to be quantified aga...
Abstract Innovative achievements of quality inspection in data government science applications based on digital technology will provide data guarantee for the construction of oil and gas production and operations. To provide intelligent application support for the quality inspection of massive and diverse data formats...
Manajemen aset Teknologi Informasi (TI) memerlukan keputusan yang dapat dipertanggungjawabkan berdasarkan data aset, riwayat pemeliharaan, kebutuhan pengguna, dan data monitoring. Penelitian ini mengusulkan sistem pendukung keputusan aset TI yang mengintegrasikan large language model, aturan guardrail domain, dan verif...
Muhammad Ilham Mahfuzh· Jurnal Pustaka Data (Pusat A...· 0 citations
Large Language Models (LLMs) have demonstrated remarkable fluency across many tasks but remain limited by their static, parameter-bound knowledge and their susceptibility to hallucinating information. Retrieval-Augmented Generation (RAG) addresses these issues by incorporating external retrieval into the generation pro...
Meghana Sunil, V. Shravya, Shravan Venkatraman et al.· Artificial Intelligence Revi...· 0 citations
Abstract This essay examines the scope of John Searle's Chinese room argument in light of trained neural networks and large language models. Its central claim is that the argument alone does not justify ruling out artificial understanding in general, and that assessments of phenomenal consciousness require further argu...
Christian Mattias Palla· Zenodo (CERN European Organi...· 0 citations
For coprime positive integers a+b=c, write rad(abc) for the product of the distinct primes dividing abc, and define the quality q=log c/lograd(abc). The ABC conjecture says that for every epsilon>0 only finitely many triples have q>1+epsilon. The same question can be posed for polynomials, where it is a theorem. This p...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
When an event is called extremely rare, the next question is on what scale it was measured. When a probability falls through orders of magnitude, saying how many times larger one thing is than another stops meaning anything. This paper shows, against exact combinatorial values, that the right scale for a rare event is...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations