This work examines whether Large Language Models (LLMs) can serve as explanation layers that translate post-hoc explanation artefacts into stakeholder-appropriate risk narratives and discusses implications for the governance of risk models, including deployment considerations and the value of domain-aligned LLMs in reg...
Sahab Zandi, Noah Kostesku, Christophe Mues et al.· 0 citations
This work integrates SmoothQuant into TorchAO and optimize the resulting inference path for Intel Xeon CPUs through graph-level fusion in TorchInductor and efficient INT8 GEMM kernel selection across oneDNN-, AVX512_VNNI-, and AMX-based implementations.
OVIP-SG is presented, a unified framework for instance-preserving semantic mapping, functional scene partitioning, and language-guided small, fine-grained object retrieval that outperforms ConceptGraphs under a unified evaluation protocol on Replica.
Tianjing Hao, Hai-Yu Lan, Ang Li et al.· 0 citations
The findings indicate that anchoring experiential loops within a scannable digital format systematically drives uniform cognitive gains, offering a robust pedagogical vehicle for vocational mathematics education.
A. Yuliani, Aflich Yusnita Fitrianna, Norma Alias· Riemann: Research of Mathema...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
This paper evaluates training-free vision language model (VLM) localization on two datasets representing same-section high-correspondence and adjacent-section low-correspondence imaging and tests unconstrained and metadata-constrained search and VLMs with geometric controls, classical template matching, and two alterna...
Xiang-Yu Yin, T. Paunesku, Letonia Copeland-Hardin et al.· 0 citations
This work proposes CounterfactualLVLM, a training-free and plug-and-play framework that mitigates object hallucinations via small-model-assisted counterfactual reasoning and highlights the power of counterfactual guidance as a simple yet effective paradigm for enhancing factual grounding in LVLM-based multi-modal reaso...
Xilin Li, Bo-Yue Wang, Xiao-Qian Ju et al.· Multimedia Systems· 0 citations
This perspective examines recent developments in AI for PV and introduces a conceptual framework of “computable PV,” in which tasks are evaluated based on their computational tractability and suitability for automation.
Leihong Wu, Joshua Xu, Oanh Dang et al.· Frontiers in Drug Safety and...· 0 citations
Two language-model-based strategies are proposed for semantic code document segmentation, including a line-by-line approach that classifies each line of code separately before grouping the results into functional units, and a range-based approach that aims to directly determine groups of code lines from the input.
A. Dahou, A. Scherp, Sebastian Kurten et al.· Proceedings of the 2026 ACM...· 0 citations
This paper proposes the Evaluation Context Protocol (ECP), an early-stage, vendor-neutral framework intended to act as a portable evaluation contract layer for agentic systems and describes an open-source reference implementation that includes adapters for LangChain, LlamaIndex, CrewAI, and PydanticAI.
Small language models can grade open-ended examination answers as reliably as substantially more expensive models when they grade against an explicit rubric. We test this claim as the design principle behind any-to-bench: a frontier model reads source documents once, at ingestion, to extract each question and its rubri...
This work mathematically formalizes how transformers execute abstract reasoning and provides a novel, strictly geometric signature for evaluating factual reliability, proving that deep LLM latent spaces natively organize into Small-World networks.
An augmented reality learning medium integrated with a deep-learning-oriented pedagogy for the Solar System topic supports the feasibility and educational promise of combining interactive AR visualization with cognitively engaging pedagogy.
Bagas Brilian Ramadhan, Meida Wulan Sari, S. Yamtinah et al.· Kognisi: Jurnal Ilmu Kegurua...· 0 citations
