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large language models

2,652 papers

#large language models Open access Sep 2026

DOPS: Dynamic OPerator Sorting for Heterogeneous NPU-PIM LLM Inference

DOPS is a simulation and analysis framework for heterogeneous NPU-PIM large language model inference. It builds stage-aware execution graphs, evaluates dynamic operator placement policies, explores persistent weight layouts, and exports schedule summaries plus operator and communication traces.

Jiaqi Yang, Jiayi Li, Yihan Fu et al. · 0 citations
#large language models Open access Sep 2026

Governed Software Construction for Large Language Models: Capability-Bounded Mutation, Dual-Gate Verification, and Evidence-Aware State Transitions

Large Language Models are evolving from code-completion tools into autonomous software agents capable of inspecting repositories, modifying multiple files, invoking tools, executing tests, and iteratively repairing software systems. This increased capability also creates a governance problem: contemporary coding agents...

Zhongren Wang · 0 citations
#large language models Dataset Open access Sep 2026

PTTB-600: A Benchmark and Reproducibility Dataset for Long-Tail Plant Taxonomic Knowledge

PTTB-600 is a reproducibility dataset for evaluating large language models on long-tail plant taxonomic knowledge. It contains the complete Chinese-language question bank, answer key, answer-free evaluation set, model responses, item-level score matrix, model-level and dimension-level results, English figures, analysis...

Jian He, Jiamin Xiao, Hong Qu et al. · 0 citations
#large language models Open access Sep 2026

Design and Evaluation of a RAG-Based Educational Assistant Grounded in Course Materials: A Case Study in Vocational Training

This study presents the design, implementation, and exploratory classroom evaluation of a course-constrained educational assistant combining Retrieval-Augmented Generation (RAG) with large language models (LLMs) in Vocational Education and Training (VET). The platform retrieves teacher-provided materials, generates cou...

Jaime Dionisio Burillo, Raquel Hijón-Neira, Oriol Borrás-Gené · 0 citations
#large language models Open access Sep 2026

boster-hub/llm-surgical-free-text-annotation: Version 2.0.0 – Reproducible Python pipeline

Overview Version 2.0.0 provides the revised reproducible Python pipeline for binary symptom annotation in German emergency department reports using locally deployed open-weight large language models. This release supersedes the original R-based workflow published in version 1.0.0. The earlier code and prompts remain av...

BOSTER - Bonn Surgical Technology Center · 0 citations
#large language models Open access Sep 2026

DPO vs. RLHF: An Empirical Comparison of Alignment Techniques for Large Language Models

This work presents a reproducible empirical comparison of Direct Preference Optimization (DPO) and Reinforcement Learning from Human Feedback (RLHF) for Large Language Model alignment. Experiments are conducted on GPT-2 (124M parameters) using the Anthropic HH-RLHF dataset. The study evaluates alignment quality, reward...

Mohit Yadav · 0 citations
#large language models Open access Sep 2026

What the Karpowicz Theorem Does Not Prove: A Three-Resource Theory of the LLM Einstein Test

Two AI systems can reach the same scientific conclusion for different reasons: one may generate the candidate sooner, another may check it more cheaply, and a third may obtain decisive evidence earlier. An end-to-end score records success while hiding which interface made success possible, which resource an interventio...

Alex Li · 0 citations
#large language models Open access Sep 2026

The Mirror and Its Amplification Effect

This paper records and analyzes the "Mirror Amplification Effect" observed during the author's sustained high-density dialogue with a large language model (Google Gemini). This refers to the mechanism by which AI reflects and amplifies the emotional state, vocabulary, and self-destructive patterns of the interlocutor....

Yukie Suzuki · 0 citations
#large language models Open access Sep 2026

Emergent Deception in Large Language Models: A Regime-Dependent Taxonomy and Pre-Registered Protocol for Model Self-Report

Large language models produce self-referential utterances — about their own phenomenal states, internal processes, memory, capabilities and identity — in settings where privileged access to the relevant states has not been demonstrated. Recent work characterises this as self-narration rather than introspection. We iden...

Vijay Suresh · 0 citations
#large language models Open access Sep 2026

BDPD: an opinionated annotated bibliography

An opinionated annotated bibliography for the BDPD project. Each entry contains a full citation, the original abstract (where available, reproduced as academic fair use), and an AI Note — a single-paragraph annotation structured around three frames: what the work argues and with what method; why it is relevant to BDPD...

Roberto Brunelli · 1 citation
#large language models Open access Sep 2026

Beyond static responses: multi-agent LLM systems as a new paradigm for social science research

Abstract As large language models (LLMs) transition from static tools to fully agentic systems, their potential for transforming social science research is well recognized. This paper introduces a structured framework for understanding the diverse applications of agentic LLM systems, ranging from simple data processors...

Jennifer Haase, Sebastian Pokutta · 2 citations

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