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Localmax dynamics for attention in transformers and its asymptotic behavior

arXiv:2509.15958v1 Announce Type: new Abstract: We introduce a new discrete-time attention model, termed the localmax...

Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning

arXiv:2506.00236v2 Announce Type: replace-cross Abstract: Parameter-efficient fine-tuning (PEFT) methods, such as LoRA, offer compact and...

LLMs for Customized Marketing Content Generation and Evaluation at Scale

arXiv:2506.17863v1 Announce Type: new Abstract: Offsite marketing is essential in e-commerce, enabling businesses to reach...

LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Models

arXiv:2506.05385v1 Announce Type: new Abstract: Semantic role labeling (SRL) is a crucial task of natural...

LLM-Independent Adaptive RAG: Let the Question Speak for Itself

arXiv:2505.04253v1 Announce Type: new Abstract: Large Language Models~(LLMs) are prone to hallucinations, and Retrieval-Augmented Generation...

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm

arXiv:2509.09707v1 Announce Type: cross Abstract: Integrating Large Language Models (LLMs) within metaheuristics opens a novel...

LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey

arXiv:2505.00753v4 Announce Type: replace Abstract: Recent advances in large language models (LLMs) have sparked growing...

LLM-as-a-Judge: Can Language Models Be Trusted to Evaluate Other Models?

Exploring the promise, pitfalls, and practical applications of using LLMs to automate AI evaluation — from synthetic...

LLM-as-a-Judge for Reference-less Automatic Code Validation and Refinement for Natural Language to Bash in IT Automation

arXiv:2506.11237v1 Announce Type: cross Abstract: In an effort to automatically evaluate and select the best...

LLM one-shot style transfer for Authorship Attribution and Verification

arXiv:2510.13302v1 Announce Type: new Abstract: Computational stylometry analyzes writing style through quantitative patterns in text...

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