Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
Papers arxiv:2606.12385 Which Models Are Our Models Built On? Auditing Invisible Dependencies in Modern LLMs Published on Jun 10 Submitted by Haoxiang Sun on Jun 11 Authors: , Haoxiang Sun , Abstract…
…Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning Published on Jun 18 Submitted by Yanxi Chen on Jun 23 TongyiLab Authors: Yanxi Chen , , , , , , Abstract Large language models…
Since large-language models like ChatGPT can generate natural language responses that appear human-like in tone, this has led to considerable discussion over whether LLMs might themselves be sentient. At present…
Papers arxiv:2606.11854 Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training Published on Jun 10 Submitted by jinymusim on Jun 11 Authors: , , , Abstract ART enables parameter-efficient fine…
LLMs and Almost Good Code
LLMs and Almost Good Code
LLMs won't break symmetric crypto
Using LLMs to secure source code
Measuring LLMs' ability to develop exploits
…It's a fact that LLMs adept at coding are equally suited to spotting security vulnerabilities in source code. Exploits fall almost universally into a handful of categories, and LLMs are literally…
…For the uninitiated, Model Context Protocol servers hook LLM providers and runtime environments to external services that don’t natively support AI models, and they do so by translating typical LLM requests…
Papers arxiv:2606.32032 Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs Published on Jun 30 Submitted by John Chih Liu on Jul 1 Google Authors: Gabrielle Kaili-May…
A Google DeepMind paper titled “LLMs can’t jump,” published by Tom Zahavy, discusses an obvious truth that AI software lacks a physical body, which, as a limitation, introduces a cognitive barrier…
…A Message-Symmetric Multi-bit Watermark for LLMs (2026) Blind PRNG Hijacking: An Undetectable Integrity-Preserving Attack Against LLM Watermarking (2026) SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking (2026) Echoes within…
The Good & The Bad When Using LLMs To Write Spack Packages Written by Michael Larabel in AI on 13 April 2026 at 12:13 PM EDT. 5 Comments The Spack package manager…
