Large Language Models

arXiv:2402.01207v5 Announce Type: replace-cross Abstract: We propose a novel framework that leverages LLMs for full causal graph discovery. While previous LLM-b

arXiv:2409.18512v2 Announce Type: replace-cross Abstract: Recent advancements in speech synthesis have enabled large language model (LLM)-based systems to perfo

arXiv:2410.10238v3 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs), such as GPT4o, have shown strong capabilities in visual reas

arXiv:2502.09018v2 Announce Type: replace-cross Abstract: Concept bottleneck models (CBMs) are inherently interpretable and intervenable neural network models,

arXiv:2505.20139v3 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) become integral to software development workflows, their ability to ge

arXiv:2506.03198v4 Announce Type: replace-cross Abstract: Action Quality Assessment (AQA) -- the task of quantifying how well an action is performed -- has grea

arXiv:2507.22264v2 Announce Type: replace-cross Abstract: Contrastive Language-Image Pre-training (CLIP)~\citep{radford2021learning} has emerged as a pivotal mo

arXiv:2509.10078v3 Announce Type: replace-cross Abstract: Psychological profiling of large language models (LLMs) using psychometric questionnaires designed for

arXiv:2509.22367v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are known to generate politically biased text. Yet, it remains unclear ho

arXiv:2510.00361v2 Announce Type: replace-cross Abstract: AI answer engines are a relatively new kind of information search tool: rather than returning a ranked

arXiv:2510.05497v4 Announce Type: replace-cross Abstract: Large-scale Mixture of Experts (MoE) Large Language Models (LLMs) have recently become the frontier op

arXiv:2510.06649v2 Announce Type: replace-cross Abstract: The Forward-Forward (FF) Algorithm is a recently proposed learning procedure for neural networks that

arXiv:2511.12834v2 Announce Type: replace-cross Abstract: The proliferation of generative AI has led to hyper-realistic synthetic videos, escalating misuse risk

arXiv:2511.21331v2 Announce Type: replace-cross Abstract: Learning joint representations across multiple modalities remains a central challenge in multimodal ma

arXiv:2512.18809v2 Announce Type: replace-cross Abstract: Short-form video moderation increasingly needs learning pipelines that protect user privacy without pa

arXiv:2601.08845v2 Announce Type: replace-cross Abstract: In direct response to requests for a logico-mathematical test of the conjecture, we formally disprove

arXiv:2601.21064v3 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly deployed as part of compound AI systems that coordinate

arXiv:2602.10419v2 Announce Type: replace-cross Abstract: Uncertainty quantification (UQ) is critical for assessing the reliability of machine learning interato

arXiv:2602.16746v3 Announce Type: replace-cross Abstract: Grokking -- the delayed transition from memorization to generalization in small algorithmic tasks -- r

arXiv:2602.16967v3 Announce Type: replace-cross Abstract: Grokking -- the abrupt transition from memorization to generalization after prolonged training -- has

arXiv:2602.18523v3 Announce Type: replace-cross Abstract: Grokking -- the abrupt transition from memorization to generalization long after near-zero training lo

arXiv:2602.22911v5 Announce Type: replace-cross Abstract: Low-Rank Adaptation (LoRA) dominates parameter-efficient fine-tuning (PEFT). However, it faces a ``lin

arXiv:2603.01589v2 Announce Type: replace-cross Abstract: The success of large language models (LLMs) in scientific domains has heightened safety concerns, prom

arXiv:2603.03312v2 Announce Type: replace-cross Abstract: Decoding natural language from non-invasive EEG signals is a promising yet challenging task. However,

arXiv:2603.17677v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) improves factual grounding by incorporating external knowledge in

arXiv:2603.18545v2 Announce Type: replace-cross Abstract: Medical vision--language models (MVLMs) are increasingly used as perceptual backbones in radiology pip

arXiv:2603.20266v2 Announce Type: replace-cross Abstract: Despite the rapid advancements in Artificial Intelligence (AI), Stochastic Differential Equations (SDE

arXiv:2604.01989v2 Announce Type: replace-cross Abstract: Like a body at rest that stays at rest, we find that visual attention in multimodal large language mod

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

Your Llama-3 instance is running in a hospital. It is processing thousands of clinical queries a day. It is making useful inferences. When it gets something wro

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Most discussions of continual learning in AI focus on one thing: updating model weights. But for AI agents, learning can happen at three distinct layers: the mo

The Problem I was running AI agents on GPT-4.1, Claude, Gemini — switching models, tweaking prompts, changing architectures. But I couldn't answer basic questio

Two weeks ago, I gave an AI agent $0 and asked it to get my first customer . It's been running ChainMail — a desktop Gmail client — as an autonomous CEO ever si

There is a thesis that has not been priced into most AI infrastructure deals in 2026. It is not about chips. It is not about model size. It is not about fine-tu

Artificial curiosity is changing how AI learns by exploring instead of following instructions, raising questions about the place for humans in the future of wor

AI skeptics aren’t the only ones warning users not to unthinkingly trust models’ outputs — that’s what the AI companies say themselves in their terms of service

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Driven by labor shortages, Japan is pushing physical AI from pilot projects into real-world deployment.

Most AI today is blind to human context. Models classify images, transcribe speech, and generate text—but they don’t perceive . They miss the silent cues: hesit

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

I built sf-log-mcp , an open-source MCP server that gives AI assistants (Claude, Copilot, Cursor) the ability to autonomously fetch, analyze, and manage Salesfo

🧠 The Origin Story: Built by an AI Engineer Who Lived the Problem Codocly was founded by Mayur Katre, an AI engineer who experienced the same frustrating cycle

The Shift to Local-First Agentic AI As we move toward more autonomous systems, the "Data Sovereignty vs. Capability" debate is intensifying. For many organizati

The agentic web is taking shape through shared protocols, and they matter more than most businesses realize. The post MCP, A2A, NLWeb, And AGENTS.md: The Standa

AI music platform Suno's policy is that it does not permit the use of copyrighted material. You can upload your own tracks to remix or set your original lyrics

AI-guided genomic tools helped design experimental cancer treatment for a dog, showing collaborative future medicine potential.