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large language models

2,652 papers

#large language models Dataset Open access Sep 2026

Free-tier large language models as de facto cancer information sources in low- and middle-income countries

Eleven free-tier conversational AI assistants (ChatGPT, Google Gemini, Microsoft Copilot, Meta AI, Perplexity, Grok, Mistral Le Chat, DeepAI, DuckDuckGo AI, DeepSeek, Kimi) were each given the same 24-item cancer prompt library, in a fresh session, verbatim, with no follow-up turns. Responses were collected 21-24 July...

Md Shohidullah Samrat, Mst. Jarfin Begum Jyoti, Abid Hasan Rafi · 0 citations
#large language models Open access Sep 2026

INFRA-COMPASS

INFRA-COMPASS is an innovative software tool utilizing Large Language Models (LLMs) to systematically compile and update an inventory of state and local codes and ordinances related to energy infrastructure. Given the multitude of jurisdictions involved, automating the inventory process through AI is crucial for monito...

Pavlo Pinchuk, Guilherme Castelão, Anthony Lopez et al. · 0 citations
#large language models Open access Sep 2026

Research on Text Information Extraction and Imbalanced Classification Methods for Enterprise Profiling

A comprehensive natural language processing (NLP) pipeline for extracting key information and identifying industries, which outperforms traditional machine learning baselines and single deep learning models, offering more reliable recognition for minority classes.

Xin-Yi Xu · 0 citations
#large language models Dataset Open access Sep 2026

Free-tier large language models as de facto cancer information sources in low- and middle-income countries

Eleven free-tier conversational AI assistants (ChatGPT, Google Gemini, Microsoft Copilot, Meta AI, Perplexity, Grok, Mistral Le Chat, DeepAI, DuckDuckGo AI, DeepSeek, Kimi) were each given the same 24-item cancer prompt library, in a fresh session, verbatim, with no follow-up turns. Responses were collected 21-24 July...

Md Shohidullah Samrat, Mst. Jarfin Begum Jyoti, Abid Hasan Rafi · 0 citations
#large language models Open access Sep 2026

A scalable and semantic pipeline for efficient video indexing and person retrieval

The explosive growth of large-scale video archives from surveillance networks, online platforms, and personal devices has made efficient and semantically rich video retrieval a critical challenge. Existing approaches based on deep multimodal embeddings have significantly improved retrieval accuracy. However, they often...

Rashid Hmaidan, Sebastiano Milardo, Irene Donato et al. · 0 citations
#large language models Review Open access Sep 2026

Autonomous Trust: Self-Gating Evaluation as a Prerequisite for Agent-to-Agent Communication at Scale

As autonomous agents backed by large language models (LLMs) move from single-user assistants toward peer systems that transact directly with one another, the volume of agent-to-agent (A2A) communication is projected to reach a scale comparable to today’s host-to-host network traffic. At that scale, no human reviewer ca...

Nehal Sangoi, Kris Feldmann, Deven Yadav et al. · 0 citations
#large language models Open access Sep 2026

Does Becoming Exceptional at One Domain Reduce Transfer Elsewhere

Foundation models derive their value from broad general capability across domains, yet deployment usually rewards specialization - creating a fundamental question for general intelligence: when performance is pushed upward in one region of capability space, is competence elsewhere conserved, redistributed, or destroyed...

Sahir Maharaj · 0 citations
#large language models Open access Aug 2026

Using large language models to investigate patients' and caregivers' perceptions on SUDEP: A case study with an online epilepsy population.

Despite clinicians' reluctance to discuss SUDEP due to fear of increasing patient anxiety, this study shows that knowledge about SUDEP may lead to proactive risk management without long-term emotional harm.

Nicole Brazda, T. Andreu, Philipp Cimiano et al. · 0 citations
#large language models Review Jul 2026

Validating ETCS Data with the B Mathematical Language: An Industrial Pipeline and a Blueprint for LLM Integration

The paper argues, on the evidence gathered so far, that formal rules in the mathematical language of B must remain the source of truth, while the language model serves as the fenced assistant in a distributed safety-critical railway system.

Thierry Lecomte, Vincent Germain · 1 citation
#large language models Conference Open access Aug 2026

The Deliberative Deficit: An Empirical Critique of LLMs in Democratic Discourse

Large language models (LLMs) are increasingly deployed in settings that require collective reasoning on complex, value-laden problems. Confidence in these deployments rests largely on benchmarks for verifiable tasks (mathematics, coding, coordination games), yet many of these applications concern problems where no obje...

Maurice Flechtner · 2 citations
#large language models Open access Aug 2026

A New Architecture of Agent

According to the drawbacks of large language model, I design a new agent which can overcome the drawbacks. The agent contains four deep neural networks, which is abstract network, concrete network, decision network, execution network. Each of the four networks just do one thing, so it focus what it can do just like bra...

Jinxin Wei, Zhe Hou · 0 citations
#large language models Open access Sep 2026

ACADEMIC PERMISSIBILITY IN LLM-ASSISTED EFL WRITING: HOW CONTEXTUAL JUSTIFICATIONS SHAPE STUDENTS' MORAL JUDGMENTS IN A WITHIN-SUBJECTS VIGNETTE SURVEY

AbstractThis paper investigates EFL students’ perceptions of ethical acceptability judgments of using Large Language Models (LLMs) into academic writing. In contrast to the simplistic view of acceptable/unacceptable use of LLMs, the present study models how specific contextual justifications shape students’ moral evalu...

Mohamed SEDDIKI, Souhila Korichi · 0 citations

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