Actualités
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: Where Do Its Signals Break, When Do They Hold, and What Should “Evaluation” Mean?
What exactly is being measured when a judge LLM assigns a 1–5 (or pairwise) score?...
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 Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization
arXiv:2510.13907v2 Announce Type: replace Abstract: Large language models (LLMs) are highly sensitive to prompts, but...
LLM Probing with Contrastive Eigenproblems: Improving Understanding and Applicability of CCS
arXiv:2511.02089v1 Announce Type: cross Abstract: Contrast-Consistent Search (CCS) is an unsupervised probing method able to...
LLM Orchestration Frameworks Compared: LangChain vs. LlamaIndex vs. Raw API Calls
The default assumption in most LLM developer communities is that you start with raw API...
LLM or Human? Perceptions of Trust and Information Quality in Research Summaries
arXiv:2601.15556v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used to generate and...
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...
LLM Observability Tools for Reliable AI Applications
Large language models (LLMs) now power everything from customer service bots to autonomous coding agents...
LLM Evaluation Frameworks Compared: How to Actually Measure What Your Model Does
In this article, you will learn how to evaluate LLM applications using the three dominant...
LLM Embeddings vs TF-IDF vs Bag-of-Words: Which Works Better in Scikit-learn?
Machine learning models built with frameworks like scikit-learn can accommodate unstructured data like text, as...
