…AI-generated summary Large Language Model (LLM)-based agents have fundamentally reshaped artificial intelligence by integrating external tools and planning capabilities. While memory mechanisms have emerged as the architectural cornerstone of these…
…Metacognition is thus essential for LLMs to be both trustworthy and capable; we conclude by highlighting open problems for progress towards this objective. View arXiv page View PDF Add to collection Community…
Papers arxiv:2605.12460 Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs Published on May 12 Submitted by Jonas Geiping on May 13 ELLIS Institute Tübingen…
…AI-generated summary LLM-based Triton kernel generation has attracted significant interest, yet a fundamental empirical question remains unanswered: where does this capability break down, and why? We present KernelBench-X , a…
…Maintaining such a library requires three coupled capabilities. The agent selects a relevant skill, utilizes it during execution, and distills new skills from experience. Existing methods optimize these capabilities in isolation or…
…The following papers were recommended by the Semantic Scholar API Discovering Novel LLM Experts via Task-Capability Coevolution (2026) Scalable Prompt Routing via Fine-Grained Latent Task Discovery (2026) LLM Router: Rethinking…
…https://mobisoftinfotech.com/resources/blog/ai‑development/llm‑api‑pricing‑guide — which gives practical advice on LLM API usage, token‑based pricing, and how to plan costs when working with LLMs. Putting…
…The following papers were recommended by the Semantic Scholar API Systematic Capability Benchmarking of Frontier Large Language Models for Offensive Cyber Tasks (2026) CyberCertBench: Evaluating LLMs in Cybersecurity Certification Knowledge (2026) Evaluating…
…Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent (2026) Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution (2026) Please give a thumbs up…
…language model (LLM) agents face a structural tension: cloud agents provide strong reasoning but expose user data, while on-device agents preserve privacy at the cost of overall capability. Existing device-cloud…