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Authors: Xiangyi Lihttps://arxiv.org/search/cs?searchtype=author&query=Li,+X, Wenbo Chenhttps://arxiv.org/search/cs?searchtype=author&query=Chen,+W, Yimin Liuht...
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As LLMs become larger, more capable, and more ubiquitous, the field of mechanistic interpretabilityhttps://en.wikipedia.org/wiki/Mechanistic_interpretability—th...
Overview Putting everything into one long prompt and hoping it works is a common practice, but it often backfires. Adding more context can actually degrade the...
Dynamic Memory Sparsification DMS Researchers at NVIDIA have introduced Dynamic Memory Sparsification DMS, a technique that can cut the memory cost of large‑la...
Test-time scaling has become a standard way to improve performance and boost reliability of neural network models. However, its behavior on agentic, multi-step ...
Article URL: https://z.ai/blog/glm-5 Comments URL: https://news.ycombinator.com/item?id=46977210 Points: 94 Comments: 34...
Agents powered by large language models (LLMs) are increasingly adopted in the software industry, contributing code as collaborators or even autonomous develope...
TL;DR RAG Retrieval‑Augmented Generation combines language models with real‑time data retrieval to provide accurate, up‑to‑date responses. Key benefit: reduces...
as the years before: fireworks across the globe. People greeted the new year with new resolutions and new goals. Someone, somewhere, surely said: “2026 is going...
Confidence calibration is essential for making large language models (LLMs) reliable, yet existing training-free methods have been primarily studied under singl...
