Large Language Models

This is Lowpass by Janko Roettgers, a newsletter on the ever-evolving intersection of tech and entertainment, syndicated just for The Verge subscribers once a w

Today AI is looked at as the "Hero Technology" for developing nations like India. But the real AI story is about leapfrogging from Hero to Humane, making AI hum

AI companion platforms like OhChat and SinfulX are offering adult creators digital twins, who are always at their peak and stay monetizing.

The researchers tested how different tones, ranging from very polite to very rude, affect ChatGPT-4o's performance on multiple-choice questions

Model poisoning is the malicious manipulation of a machine learning model's training data or parameters to embed hidden, "backdoor" behaviors. The attack works

🚨 In January 2025, a Chinese AI startup crashed Nvidia's stock by 17% in a single session. Training cost: $5.5M. GPT-4 cost: ~$100M. Same performance. Nobody s

1 OVERVIEW GitHub: https://github.com/jin-wook-lee-96/ai-dubbing ⭐ Upload audio or video → get a dubbed MP3 in 7 languages. Built with Next.js 16, ElevenLabs ST

OpenAI ​has paused plans to release a sexualized "adult mode" for ChatGPT, in its latest move to refocus on the company's core ​products. According to The Finan

qwen3guard-gen-4b is a compact 4B moderation model that classifies content across 119 languages as Safe, Unsafe, or Controversial.

arXiv:2603.23539v1 Announce Type: new Abstract: We show that PLDR-LLMs pretrained at self-organized criticality exhibit reasoning at inference time. The charact

arXiv:2603.23610v2 Announce Type: new Abstract: Although large language models (LLMs) have advanced rapidly, robust automation of complex software workflows rem

arXiv:2603.23625v1 Announce Type: new Abstract: Artificial intelligence (AI) is increasingly being explored in health and social care to reduce administrative w

arXiv:2603.23638v1 Announce Type: new Abstract: Large language models (LLMs) have enabled agentic systems that can reason, plan, and act across complex tasks, b

arXiv:2603.23660v1 Announce Type: new Abstract: We introduce GTO Wizard Benchmark, a public API and standardized evaluation framework for benchmarking algorithm

arXiv:2603.23714v1 Announce Type: new Abstract: Large language models have recently been proposed as tools for automated essay scoring, but their agreement with

arXiv:2603.23838v1 Announce Type: new Abstract: Lifelong Multi-Agent Path Finding (MAPF) is critical for modern warehouse automation, which requires multiple ro

arXiv:2603.23840v1 Announce Type: new Abstract: With the growing demand for intelligent in-vehicle experiences, vehicle-based agents are evolving from simple as

arXiv:2603.23853v1 Announce Type: new Abstract: Combining multiple Vision-Language Models (VLMs) can enhance multimodal reasoning and robustness, but aggregatin

arXiv:2603.23857v1 Announce Type: new Abstract: The adoption of generative AI across commercial and legal professions offers dramatic efficiency gains -- yet fo

arXiv:2603.23873v1 Announce Type: new Abstract: DeepXube is a free and open-source Python package and command-line tool that seeks to automate the solution of p

arXiv:2603.23909v1 Announce Type: new Abstract: While Large Language Models (LLMs) provide semantic flexibility for robotic task planning, their susceptibility

arXiv:2603.23910v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) suggest strong potential for automating analog circuit design. Y

arXiv:2603.23964v1 Announce Type: new Abstract: The remarkable progress of reinforcement learning (RL) is intrinsically tied to the environments used to train a

arXiv:2603.24014v1 Announce Type: new Abstract: Participatory urban sensing leverages human mobility for large-scale urban data collection, yet existing methods

arXiv:2603.24018v1 Announce Type: new Abstract: Vision-language models (VLMs) have shown remarkable general capabilities, yet embodied agents built on them fail

arXiv:2603.24065v1 Announce Type: new Abstract: Current prompting paradigms for large language models (LLMs), including Chain-of-Thought (CoT) and Tree-of-Thoug

arXiv:2603.24084v1 Announce Type: new Abstract: Empirical evaluation in multi-objective search (MOS) has historically suffered from fragmentation, relying on he

arXiv:2603.24402v2 Announce Type: new Abstract: Existing automated research systems operate as stateless, linear pipelines -- generating outputs without maintai

arXiv:2603.24481v1 Announce Type: new Abstract: Miscalibrated confidence scores are a practical obstacle to deploying AI in clinical settings. A model that is a

arXiv:2603.24527v1 Announce Type: new Abstract: We introduce incongruent normal form (INF), a structural representation for self-referential semantic sentences.

arXiv:2603.24572v1 Announce Type: new Abstract: In this article, we focus on search algorithms for two-player perfect information games, whose objective is to d

arXiv:2603.24582v1 Announce Type: new Abstract: Agentic artificial intelligence (AI) in organizations is a sequential decision problem constrained by reliabilit

arXiv:2410.02064v3 Announce Type: cross Abstract: It has been reported that LLMs can recognize their own writing. As this has potential implications for AI safe

arXiv:2504.09604v3 Announce Type: cross Abstract: Many-shot jailbreaking (MSJ) is an adversarial technique that exploits the long context windows of modern LLMs

arXiv:2509.21545v2 Announce Type: cross Abstract: The possibility of LLM self-awareness and even sentience is gaining increasing public attention and has major

arXiv:2603.23506v1 Announce Type: cross Abstract: The rapid proliferation of large language models (LLMs) in healthcare creates an urgent need for scalable and

arXiv:2603.23507v1 Announce Type: cross Abstract: While Masked Diffusion Language Models (MDLMs) relying on token masking and unmasking have shown promise in la

arXiv:2603.23509v1 Announce Type: cross Abstract: This work identifies a critical failure mode in frontier large language models (LLMs), which we term Internal

arXiv:2603.23510v1 Announce Type: cross Abstract: As multimodal language models (MLMs) are increasingly used in social and collaborative settings, it is crucial

arXiv:2603.23512v1 Announce Type: cross Abstract: We present S-Path-RAG, a semantic-aware shortest-path Retrieval-Augmented Generation framework designed to imp

arXiv:2603.23514v1 Announce Type: cross Abstract: Large Language Models appear competent when answering general questions but often fail when pushed into domain

arXiv:2603.23515v1 Announce Type: cross Abstract: Improving the accuracy and reliability of medical coding reduces clinician burnout and supports revenue cycle

arXiv:2603.23516v1 Announce Type: cross Abstract: Long-term memory is a cornerstone of human intelligence. Enabling AI to process lifetime-scale information rem

arXiv:2603.23517v1 Announce Type: cross Abstract: Accuracy-based evaluation cannot reliably distinguish genuine generalization from shortcuts like memorization,

arXiv:2603.23518v1 Announce Type: cross Abstract: General-purpose embedding models excel at recognizing semantic similarities but fail to capture the characteri

arXiv:2603.23519v1 Announce Type: cross Abstract: Large Language Models (LLMs) have demonstrated impressive capabilities across various specialist domains and h

arXiv:2603.23520v1 Announce Type: cross Abstract: Medicine is an empirical discipline refined through long-term observation and the messy, high-variance reality