Search: “models”

HIVE: Hidden-Evidence Verification for Hallucination Detection in Diffusion Large Language Models

arXiv:2604.26139v1 Announce Type: new Abstract: Diffusion large language models generate text through multi-step denoising, where hallucination signals may emerge throughout the trajectory rather than

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it is quite significant that Musk admitted on the stand that xAI is distilling OpenAI models to train xAI, and that it is using OpenAI's tec…

DGX agent

Elon Musk allegedly admitted during legal testimony that xAI is distilling OpenAI models to train its own systems and utilizing OpenAI's technology, according to a post by Clem Delangue discussing sta

industryclem-delangue--x

30 Apr 2026

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models

model-releasesarxiv-cs-ro

arXiv:2604.26569v1 Announce Type: new Abstract: Deploying a neuro-symbolic task planner on a new domain today requires significant manual effort: a domain expert must author relaxation and complementa

Our agent harness makes models inside Cursor faster, smarter, and more token-efficient. Here's how we test improvements to the harness, moni…

Our agent harness makes models inside Cursor faster, smarter, and more token-efficient. Here's how we test improvements to the harness, monitor and repair degradations, and customize it for different

agentscursor--x

Stochastic Scaling Limits and Synchronization by Noise in Deep Transformer Models

arXiv:2604.26898v1 Announce Type: cross Abstract: We prove pathwise convergence of the layerwise evolution of tokens in a finite-depth, finite-width transformer model with MultiLayer Perceptron (MLP)

researcharxiv-cs-lg

Text-Utilization for Encoder-dominated Speech Recognition Models

arXiv:2604.26514v1 Announce Type: cross Abstract: This paper investigates efficient methods for utilizing text-only data to improve speech recognition, focusing on encoder-dominated models that facili

researcharxiv-cs-ai

Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective

arXiv:2604.26489v1 Announce Type: new Abstract: DNNs have gained widespread adoption in feature interaction recommendation models. However, there has been a longstanding debate on their roles. On one

researcharxiv-cs-lg

for a harness to be effective, it needs to be custom fit to a use case. we're offering harness variants custom fit to models!

LangChain is offering multiple harness variants that are custom-fitted to specific use cases and models, recognizing that effective harness implementation requires tailored configuration rather than o

agentsharrison-chase--x

great deep dive into how we get deepagents to work well with different families of models

This post likely discusses best practices and techniques for optimizing DeepAgent performance across diverse model architectures and families, covering strategies for compatibility and effective integ

agentsharrison-chase--x

Learning biophysical models of gene regulation with probability flow matching

arXiv:2604.25062v1 Announce Type: cross Abstract: Cellular differentiation is governed by gene regulatory networks, the high-dimensional stochastic biochemical systems that determine the transcription

researcharxiv-cs-lg

New in Deep Agents: Harness Profiles. https://www.langchain.com/blog/tuning-deep-agents-different-models ✅ Model-specific profiles to adjust…

New in Deep Agents: Harness Profiles. https://www.langchain.com/blog/tuning-deep-agents-different-models ✅ Model-specific profiles to adjust prompts, tools, and middleware. 📦 Profiles for @OpenAI, @An

agentsharrison-chase--x

Agentic Fusion of Large Atomic and Language Models to Accelerate Materials Discovery

arXiv:2604.23758v1 Announce Type: new Abstract: The discovery of novel materials is critical for global energy and quantum technology transitions. While deep learning has fundamentally reshaped this l

hardwarearxiv-cs-lg

Amazon and OpenAI announce an expanded deal that will make OpenAI's models available from AWS, a day after OpenAI revised its Microsoft partnership (Ina Fried/Axios)

Ina Fried / Axios: Amazon and OpenAI announce an expanded deal that will make OpenAI's models available from AWS, a day after OpenAI revised its Microsoft partnership — Amazon and OpenAI on Tuesday an

industrytechmeme

AWS brings OpenAI’s AI models and Codex programming assistant to its cloud

Amazon Web Services Inc. today made OpenAI Group PBC’s large language models available on its cloud platform. The algorithms are accessible through Amazon Bedrock alongside Codex, the ChatGPT develope

industrysiliconangle

Tutorials

Cross-Course Generalizability of SRL-Aligned Predictive Models Using Digital Learning Traces

arXiv:2604.22812v1 Announce Type: cross Abstract: STEM dropout rates remain high at universities, particularly in computer science programs with theory-intensive courses. Digital learning environments

tutorialsarxiv-cs-lg

It’s remarkable. Even with small models, Hermes just wrecks OpenClaw. But it makes sense! The team is underrated when it comes to having som…

It’s remarkable. Even with small models, Hermes just wrecks OpenClaw. But it makes sense! The team is underrated when it comes to having some of the first cracked prompt engineers in the game. They in

researchnous-research--x

Applications

LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models

arXiv:2604.23809v1 Announce Type: new Abstract: Small language models (SLMs) are promising for real-world deployment due to their efficiency and low operational cost. However, their limited capacity s

applicationsarxiv-cs-cl

Non-Destructive Prediction of Fruit Ripeness and Firmness Using Hyperspectral Imaging and Lightweight Machine Learning Models

arXiv:2604.22788v1 Announce Type: cross Abstract: Post-harvest fruit quality assessment is essential for reducing food waste, yet reliable non-destructive methods typically depend on expensive hypersp

hardwarearxiv-cs-lg

Local Ai

S^2IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction

arXiv:2604.23296v1 Announce Type: cross Abstract: Aspect Sentiment Quad Prediction (ASQP) has seen significant advancements, largely driven by the powerful semantic understanding and generative capabi

local-aiarxiv-cs-ai

Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models

arXiv:2604.24708v1 Announce Type: cross Abstract: Training large neural networks with data-parallel stochastic gradient descent allocates N GPU replicas to compute effectively identical updates -- a p

hardwarearxiv-cs-ai

SWE-QA: Can Language Models Answer Repository-level Code Questions?

model-releasesarxiv-cs-cl

arXiv:2509.14635v2 Announce Type: replace Abstract: Understanding and reasoning about entire software repositories is an essential capability for intelligent software engineering tools. While existing

Zero-shot Large Language Models for Automatic Readability Assessment

arXiv:2604.24470v1 Announce Type: new Abstract: Unsupervised automatic readability assessment (ARA) methods have important practical and research applications (e.g., ensuring medical or educational ma

AromaGen: Interactive Generation of Rich Olfactory Experiences with Multimodal Language Models

arXiv:2604.01650v2 Announce Type: replace-cross Abstract: Smell's deep connection with food, memory, and social experience has long motivated researchers to bring olfaction into interactive systems. Y

Local Ai

GenMatter: Perceiving Physical Objects with Generative Matter Models

arXiv:2604.22160v1 Announce Type: cross Abstract: Human visual perception offers valuable insights for understanding computational principles of motion-based scene interpretation. Humans robustly dete

local-aiarxiv-cs-ai

HubRouter: A Pluggable Sub-Quadratic Routing Primitive for Hybrid Sequence Models

model-releasesarxiv-cs-lg

arXiv:2604.22442v1 Announce Type: new Abstract: We introduce HubRouter, a pluggable module that replaces O(n^2) attention layers with O(nM) hub-mediated routing, where M =20 shows increasing seed sens

Microsoft and OpenAI remove a clause that would have given Microsoft IP rights until OpenAI achieved 'AGI'; Microsoft retains use of OpenAI's models until 2032 (Aaron Holmes/The Information)

Aaron Holmes / The Information: Microsoft and OpenAI remove a clause that would have given Microsoft IP rights until OpenAI achieved “AGI”; Microsoft retains use of OpenAI's models until 2032 — Micros

industrytechmeme

Local Ai

7 seconds made with 7 AI models in @ComfyUI + After Effects Wan Animate, Wan 2.2 I2V, SCAIL, Wan 2.2 Vace, Seedance 2.0, ChatGPT Image 2.0 a…

This post demonstrates a 7-second animation created by combining multiple AI models within ComfyUI and Adobe After Effects, utilizing tools including Wan Animate, Wan 2.2 I2V (image-to-video), SCAIL,

local-aicomfyui--x

26 Apr 2026

Have a burning question about Hermes Agent and local models? We are doing an AMA in r/LocalLLaMA next Wednesday (4/29) 8am - 11am PST Come j…

Nous Research announced a live Ask Me Anything (AMA) session focused on Hermes Agent and local language models, scheduled for r/LocalLLaMA on April 29th from 8-11 AM PST. The event invites community m

agentsnous-research--x

25 Apr 2026

A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models

arXiv:2604.21903v1 Announce Type: cross Abstract: Deep-learning video super-resolution has progressed rapidly, but climate applications typically super-resolve (increase resolution) either space or ti

researcharxiv-cs-ai

Tools

Models are changing really fast, often in ways that will break your product and technical assumptions. There's no way around this – the only…

Models are changing really fast, often in ways that will break your product and technical assumptions. There's no way around this – the only way forward is to relentlessly iterate to make sure you're

toolsswyx--x

Safety

Multimodal Protein Language Models for Enzyme Kinetic Parameters: From Substrate Recognition to Conformational Adaptation

arXiv:2603.12845v2 Announce Type: replace Abstract: Predicting enzyme kinetic parameters quantifies how efficiently an enzyme catalyzes a specific substrate under defined biochemical conditions. Canon

safetyarxiv-cs-cv

Predicting Scale-Up of Metal-Organic Framework Syntheses with Large Language Models

arXiv:2604.20899v1 Announce Type: cross Abstract: Scalable synthesis remains the gate between MOF discovery and industrial deployment, as scale-up know-how is fragmented across disparate reports. We i

researcharxiv-cs-ai

Prototype-Based Test-Time Adaptation of Vision-Language Models

arXiv:2604.21360v1 Announce Type: new Abstract: Test-time adaptation (TTA) has emerged as a promising paradigm for vision-language models (VLMs) to bridge the distribution gap between pre-training and

researcharxiv-cs-cv

Exploring Data Augmentation and Resampling Strategies for Transformer-Based Models to Address Class Imbalance in AI Scoring of Scientific Explanations in NGSS Classroom

arXiv:2604.19754v1 Announce Type: new Abstract: Automated scoring of students' scientific explanations offers the potential for immediate, accurate feedback, yet class imbalance in rubric categories p

Object Referring-Guided Scanpath Prediction with Perception-Enhanced Vision-Language Models

arXiv:2604.20361v1 Announce Type: new Abstract: Object Referring-guided Scanpath Prediction (ORSP) aims to predict the human attention scanpath when they search for a specific target object in a visua

researcharxiv-cs-cv

ThermoQA: A Three-Tier Benchmark for Evaluating Thermodynamic Reasoning in Large Language Models

arXiv:2604.19758v1 Announce Type: new Abstract: We present ThermoQA, a benchmark of 293 open-ended engineering thermodynamics problems in three tiers: property lookups (110 Q), component analysis (101

Tracing Relational Knowledge Recall in Large Language Models

arXiv:2604.19934v1 Announce Type: new Abstract: We study how large language models recall relational knowledge during text generation, with a focus on identifying latent representations suitable for r

Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest

arXiv:2604.18955v1 Announce Type: cross Abstract: In this study, we present the first comprehensive evaluation of modern LLMs - including GPT-4, GPT-4o, GPT-3.5-Turbo, Gemini 1.5 Pro, DeepSeek-V3, Lla

22 Apr 2026

Applications

Sadly, this post will result in future AI models being “squashmaxxed” - good at producing butternut squash images, bad at everything else.

applicationsethan-mollick--x

This post discusses concerns about AI model degradation through the inclusion of low-quality or irrelevant training data, using butternut squash image generation as a humorous example of how excessive

22 Apr 2026

Tutorials

A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions

arXiv:2604.17312v1 Announce Type: new Abstract: Reinforcement learning (RL) has emerged as a powerful post-training paradigm for enhancing the reasoning capabilities of large language models (LLMs). H

tutorialsarxiv-cs-lg

AI Insider: 'Adding a Human Makes Your Team Worse' Emad Mostaque | @EMostaque TIMESTAMPS : 00:00 The models too dangerous to release 10:06 W…

AI Insider: 'Adding a Human Makes Your Team Worse' Emad Mostaque | @EMostaque TIMESTAMPS : 00:00 The models too dangerous to release 10:06 Why physics needs axioms — and AI doesn't 11:43 The MIND fram

industryemad-mostaque--x

Applications

Compositional Steering of Large Language Models with Steering Tokens

arXiv:2601.05062v2 Announce Type: replace Abstract: Deploying LLMs in real-world applications requires controllable output that satisfies multiple desiderata at the same time. While existing work exte

applicationsarxiv-cs-cl

Safety

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models

arXiv:2511.15669v2 Announce Type: replace Abstract: Does Chain-of-Thought (CoT) reasoning genuinely improve Vision-Language-Action (VLA) models, or does it merely add overhead? Existing CoT-VLA system

safetyarxiv-cs-lg

Defragmenting Language Models: An Interpretability-based Approach for Vocabulary Expansion

arXiv:2604.16656v1 Announce Type: new Abstract: All languages are equal; when it comes to tokenization, some are more equal than others. Tokens are the hidden currency that dictate the cost and latenc

emg2speech: Synthesizing speech from electromyography using self-supervised speech models

arXiv:2510.23969v2 Announce Type: replace-cross Abstract: We present a neuromuscular speech interface that translates electromyographic (EMG) signals recorded from orofacial muscles during speech arti

it's entirely fine and great for proprietary models to exist the issue is they try to kill open source behind scenes while pretending they s…

it's entirely fine and great for proprietary models to exist the issue is they try to kill open source behind scenes while pretending they support it so far they've been pretty incompetent but they'll

industryclem-delangue--x

Karpathy's autoresearch repo started an impressive trend. Agents can now train AI models to build SoTA agentic systems. And to think this is…

Karpathy's autoresearch repo started an impressive trend. Agents can now train AI models to build SoTA agentic systems. And to think this is just scratching the surface. Ultimately, it boils down to g

hardwareclem-delangue--x

Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users

model-releasesarxiv-cs-cl

arXiv:2603.16120v2 Announce Type: replace Abstract: Deep Research (DR) systems help researchers cope with ballooning publishing counts. Such tools synthesize scientific papers to answer research queri