Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
Vector Search with LLMs - Computerphile
Nicholas Carlini - Black-hat LLMs | [un]prompted 2026
AgentMerge: Enhancing Battlefield Issue Management with LLMs | AI and Games Conference 2024
A Compilation of Robots Falling Down at the DARPA Robotics Challenge
DARPA Robotics Challenge 2013: A Woodstock for Robots | The New York Times
…Tz-Huan Hsu , Jheng-Hong Yang , Abstract Lexical retrievers remain effective for deep research tasks when paired with advanced LLMs, outperforming dense retrievers in answer accuracy and evidence recall. AI-generated summary…
…Related 5 self-hosted LLMs I use for specific tasks My customized, self-hosted AI workflow The same resume, with the same prompt A single local LLM going up against OpenAI's…
…AI-generated summary Self-distillation (SD) offers a promising path for adapting large language models (LLMs) without relying on stronger external teachers. However, SD in autoregressive LLMs remains challenging because self-generated…
…Sign in to your XDA account We, at XDA, absolutely love local LLMs . That "we" didn't really include me for the longest time because I was perfectly happy letting cloud-based…
LLMs and Almost Good Code
LLMs and Almost Good Code
Using LLMs to secure source code
Measuring LLMs' ability to develop exploits
Measuring LLMs' ability to develop exploits
…It’s also worth noting that SLMs are not the weaker siblings of LLMs. Newer SLM models show performance comparable to or even exceeding that of much larger LLMs in targeted benchmarks…
…For LLMs to graduate from tools that people "visit" to those that live inside everything they use, the chat interface has to meet its necessary death. Related I replaced cloud LLMs with…
…Steering LLM Logical Reasoning via Alignment of Natural-Language and Symbolic Views (2026) Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains (2026) When Chain-of…
…First, a BEV representation consolidates multi-view spatial information into a structure compatible with LLMs. Second, we introduce LLM-enhanced world queries to facilitate knowledge transfer from the understanding branch. Third, a…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement learning (RL) post-training has shown to improve reasoning in large language models (LLMs). However, there has been little exploration on the problem…
By Julien Simon Chief Evangelist Hugging Face Large language models (LLMs) are taking the machine learning world by storm. Thanks to their Transformer architecture, LLMs have an uncanny ability to learn from…
