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Deep dives into GPT, Claude, Gemini, Llama and the transformers powering modern AI

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Large Language Models Lessons — Free Learning

Reddit r/MachineLearning 🧠 Large Language Models ⚡ AI Lesson 1d ago

A dataset with 52 Text to image model evaluation [P]

I created a simple text to image benchmark. I curated 192 prompts that are difficult for T2I models in various ways: text rendering, spatial reasoning, human re

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

LLM Agents Perform Controlled Experiments Using Simulation Models

arXiv:2608.23622v1 Announce Type: new Abstract: Large language models (LLMs) have shown strong capabilities in reasoning, planning, and tool use, but many scien

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

TRACE: Transition-Aware Residual Control for Multi-Objective Materials Discovery

arXiv:2608.23631v1 Announce Type: new Abstract: Multi-objective materials discovery with LLM agents is often limited not only by how many candidates can be prop

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

Auditing the Synthetic Memoir: Measuring Scene-Level Confabulation in LLM-Generated Autobiography Against the Documented Record of the Life It Describes

arXiv:2608.23640v1 Announce Type: new Abstract: When a large language model (LLM) is asked to write a person's life, how much of what it writes actually happene

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

How much of a measured AI preference is the model, and how much is the instrument?

arXiv:2608.23641v1 Announce Type: new Abstract: Model welfare research infers what a model prefers from the answers returned to prompts written to elicit prefer

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value

arXiv:2608.23644v1 Announce Type: new Abstract: Large language models (LLMs) are becoming routine instruments of scientific research, assisting with literature

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

MolEmb: Multimodal Large Language Models Can Be Strong Molecular Embedding Models

arXiv:2608.23646v1 Announce Type: new Abstract: Molecular embedding models can serve as foundational infrastructure for computational chemistry and drug discove

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

Gated Activation Steering for Reducing Sycophancy & Hallucination in Medical Question Answering

arXiv:2608.23666v1 Announce Type: new Abstract: Sycophancy and hallucination are persistent failure modes of Large Language Models (LLMs) across domains. Howeve

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

Do LLMs Understand Limit Order Book Dynamics?

arXiv:2608.23706v1 Announce Type: new Abstract: A large language model (LLM) trained on synthetic limit order book (LOB) data achieves near perfect scores in ge

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

Serving Masked Diffusion LLMs: Characterization and Design Principles from Real Hardware

arXiv:2608.23807v1 Announce Type: new Abstract: Masked diffusion language models (dLLMs) can in principle generate text faster than autoregressive (AR) models,

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

Generating Biomedical Fact-Checking Reports with RL-Enhanced Agentic Search

arXiv:2608.23811v1 Announce Type: new Abstract: Automated fact-checking is essential for ensuring the reliability of public health information, yet the biomedic

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

Minima-KV: Retention-Preserving KV Cache Compression with Mixed-Format Paged Attention

arXiv:2608.23834v1 Announce Type: new Abstract: The key-value (KV) cache is a primary capacity and bandwidth bottleneck in long-context LLM serving. We present

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

SyPS: Measuring Sycophancy Prompt Sensitivity in Large Language Models

arXiv:2608.23837v1 Announce Type: new Abstract: Large language models (LLMs) are known to exhibit social sycophancy, often validating or agreeing with users in

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

Granite.Trust Policy Tools: Shareable, Actionable Policies for Generative AI Applications

arXiv:2608.23870v1 Announce Type: new Abstract: When it comes to safety policies for generative AI, one size does not fit all. Each organization and use case ne

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors

arXiv:2608.23873v1 Announce Type: new Abstract: Everything a language model sees is tokens. The serving stack knows what each span is -- user input, tool output

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

AI Finds A Way

arXiv:2608.23875v1 Announce Type: new Abstract: Artificial Intelligence (AI) algorithms frequently learn creative and unexpected solutions, surprising even expe

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago

BenchBench-Protocol: Evaluating Real-World Wet-Lab Protocol Reasoning and Modification

arXiv:2608.23898v1 Announce Type: new Abstract: We introduce BenchBench-Protocol, a benchmark for large language models of 149 protocol-modification tasks recov

MIT Technology Review 🧠 Large Language Models ⚡ AI Lesson 2d ago

I spent a day at a robot “carnival” in Shanghai. Here’s what I saw.

Humanoid robots are having a moment in China. The popular machines are part of the country’s strategy to bring artificial intelligence into daily life. Embeddin