NepEduBench, an initial benchmark foropen-source Small Language Models (SLMs) covering English, Nepali, and Romanized Nepali. Built from Nepal’s official Grade 6–10 Social Studies textbooks, it combines a parallel core of 318 lessons per language (the same lessons in all three languages), language-specific instruction...
Inisha Pradhan, Chutiporn Anutariya, SEIN MINN et al.· Zenodo (CERN European Organi...· 0 citations
(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. Two literatures make claims about what happens when a language model trains on data that resembles its own distribution. One asks whether reinforcement learning forgets a model's prior capabilities less than supervised fine-tuning does, and answers yes: on-policy R...
Pranay M. Mahendrakar· Zenodo (CERN European Organi...· 0 citations
(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. Two literatures make claims about what happens when a language model trains on data that resembles its own distribution. One asks whether reinforcement learning forgets a model's prior capabilities less than supervised fine-tuning does, and answers yes: on-policy R...
Pranay M. Mahendrakar· Zenodo (CERN European Organi...· 0 citations
Prefix adders are fundamental arithmetic circuits, but their design space grows exponentially with bit-width, posing significant optimization challenges. Previous works face limitations in performance, generalization, and scalability. To address these challenges, we propose PrefixAgent , a large language model (LLM)-po...
Dongsheng Zuo, Jiadong Zhu, Yang Luo et al.· ACM Transactions on Design A...· 0 citations
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Background Healthy lifestyle management is essential for chronic disease prevention and long-term care. However, evidence linking lifestyle behaviors, biological mechanisms, and health outcomes is dispersed across diverse biomedical sources. This fragmentation makes it difficult for health professionals to efficiently...
Hong-Yu Kang, Xiao-Wei Xu, Ning Xiao et al.· Frontiers in Public Health· 0 citations
Almost every language model in service was trained by one family of software. That concentration makes a question hard to settle: how much of what is known about training a language model describes language models, and how much describes that software? Settling it needs a second implementation able to carry a model thr...
HistoRAG is presented, a question answering assistant that answers from one regional collection and cites a volume and a page for every fact, at a far smaller cost per question than a graph based retrieval system.
A modular, predictor agnostic, tool-augmented framework that equips a small VLM with geometric tools: 3D object detection, metric depth estimation, and deterministic solvers for distance, size and bearing, matching a scripted pipeline on three of four tasks.
A pipeline for building an open-taxonomy semantic annotation of source code using a code-specialised Large Language Model, and a calibrated quality-assurance protocol that quantifies annotation precision by combining a small human gold set with an LLM-as-a-judge filter are presented.
Federico Pennino, Andrea Gurioli, Stefano Zacchiroli et al.· 1 citation
Results show that BLV-focused post-training improves both accessibility-specific spatial grounding and general visual-text reasoning, and is substantially outperforms the baseline across various benchmarks.
Rishabh C. Choudhary, S. Raj, Umesh Goyal et al.· 0 citations
We present ChunkRank, an open-source Python library that derives chunk boundaries from a target model's tokenizer and context window, and selects an answer among candidates produced independently per chunk. It ships a validated registry of 90 models across 15 providers and six answer-selection methods, and needs only t...
Amit Nautiyal, Ayush Bhatt, Gaurav Nautiyal· 0 citations
Understanding how Large Language Models (LLMs) encode linguistic structures remains a fundamental challenge in interpretability research. While diagnostic classifiers (or"probes") are widely used for this task, they face significant methodological criticism: training auxiliary classifiers introduces capacity confounds...