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Noticias

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...

LLMs are stuck in a groupthink groove. This startup is trying to get them out.

Let’s start with a game. Open up your chatbot of choice—Claude, ChatGPT, Gemini—and type “Give...

LLM-Pruning Collection: A JAX Based Repo For Structured And Unstructured LLM Compression

Zlab Princeton researchers have released LLM-Pruning Collection, a JAX based repository that consolidates major pruning...

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: 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...

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