large language models

Coupling Mechanism and Driving Paths of the Spatial Differentiation of Tourism Attractions from the Perspective of Tourist Perception—A Case Study of Xinjiang, China

As the culture and tourism industry moves toward high-quality development, tourist perception has become a core dimension for measuring that quality. Most existing work on tourism spatial differentiation still looks at the supply side, and describes the pattern of tourism attractions. It pays limited attention to how s...

TransAegis: Cross-Lingual Representation Steering-Based Low Resource Language Jailbreak Defense

Accuracy and Short-Term Consistency of Generative AI Chatbots in Guideline-Based Endodontic Decision Support: A Multi-Model Benchmarking Study

These findings support guideline-based evaluation and clinician verification when generative AI chatbots are used to provide endodontic information relevant to decision support or dental education.

Editorial: Pests on the move: climate change and the shifting ecology of forest insects

Climate change is reshaping forest ecosystems by altering temperature regimes, precipitation patterns, disturbance processes, and interactions between insects and their host trees. Among the most dynamic and consequential biological responses are the shifts in geographic range, seasonal phenology, voltinism, overwinter...

Tweet Summarization: A Comprehensive Survey of Methods, Evaluation, and Challenges

RAG-enhanced large language model for ideological and political education: an intelligent Q&A system and its impact on college students’ employment cognition

CoQ-LLM: Exploiting Complex-Valued Representation for Post-training Quantization of Large Language Models

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

Scientific and engineering verticals often suffer from data scarcity and strict executability requirements: models must generate not only fluent text but also syntactically valid, tool‐compilable scripts. We present a schema‐first alignment framework for building compact, executable domain‐specific LLMs in low‐resource...

Knowledge-enhanced LLMs for multilingual biomedical concept normalization: a multilingual benchmarking and behavioral analysis

It is demonstrated that structured knowledge enrichment is critical for effective LLM-based multilingual concept normalization, while surface-form sensitivity and positional biases remain important challenges for fully automated clinical pipelines.

English Translation Quality Estimation And Fine-Grained Error Pattern Recognition Based On Multi-Source Corpus Augmentation And Large Language Models

Cross-domain and source-target mismatch tests show that the MCA-LLM-QEER framework improves robustness to domain shift and fluent-butunfaithful translations and support a unified reference-free QE design in which global quality prediction and fine-grained error diagnosis are learned from complementary bilingual evidenc...

hyper-tamari: the Lean 4 developments accompanying "Evaluation orders on bracketings in the hyperoperation hierarchy"

The Lean 4 developments accompanying the paper Evaluation orders on bracketings in the hyperoperation hierarchy by Toshihisa Urahigashi. Let H_r be the Goodstein hyperoperation hierarchy (H_1 addition, H_2 multiplication, H_3 exponentiation, H_4 tetration). For r ≥ 3 the operation is non-associative, so the value of a...

A cross-sectional evaluation of large language model chatbot interfaces for patient-facing herpes zoster information: safety, information quality, and readability

In this standardised benchmark, LLM chatbot interfaces provided generally favourable accuracy and information-quality scores but showed clinically relevant safety limitations, sparse source attribution and disclosure, and readability challenges.