Search: “index”

Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures

arXiv:2604.11639v1 Announce Type: new Abstract: Modern automatic differentiation frameworks (JAX, PyTorch) return the Hessian of the loss function as a monolithic tensor, without exposing the internal

researcharxiv-cs-lg

Layerwise Dynamics for In-Context Classification in Transformers

DGX agent

arXiv:2604.11613v1 Announce Type: cross Abstract: Transformers can perform in-context classification from a few labeled examples, yet the inference-time algorithm remains opaque. We study multi-class

safetyarxiv-cs-ai

14 Apr 2026

LoGo-MR: Screening Breast MRI for Cancer Risk Prediction by Efficient Omni-Slice Modeling

model-releasesarxiv-cs-cv

arXiv:2604.11348v1 Announce Type: new Abstract: Efficient and explainable breast cancer (BC) risk prediction is critical for large-scale population-based screening. Breast MRI provides functional info

Reasoning as Data: Representation-Computation Unity and Its Implementation in a Domain-Algebraic Inference Engine

arXiv:2604.10908v1 Announce Type: new Abstract: Every existing knowledge system separates storage from computation. We show this separation is unnecessary and eliminate it. In a standard triple is_a(A

researcharxiv-cs-ai

RECIPER: A Dual-View Retrieval Pipeline for Procedure-Oriented Materials Question Answering

arXiv:2604.11229v1 Announce Type: cross Abstract: Retrieving procedure-oriented evidence from materials science papers is difficult because key synthesis details are often scattered across long, conte

researcharxiv-cs-ai

Seg2Change: Adapting Open-Vocabulary Semantic Segmentation Model for Remote Sensing Change Detection

model-releasesarxiv-cs-cv

arXiv:2604.11231v1 Announce Type: new Abstract: Change detection is a fundamental task in remote sensing, aiming to quantify the impacts of human activities and ecological dynamics on land-cover chang

Tail-Aware Information-Theoretic Generalization for RLHF and SGLD

arXiv:2604.10727v1 Announce Type: cross Abstract: Classical information-theoretic generalization bounds typically control the generalization gap through KL-based mutual information and therefore rely

Hardware

VTC: DNN Compilation with Virtual Tensors for Data Movement Elimination

arXiv:2604.09558v1 Announce Type: cross Abstract: With the widening gap between compute and memory operation latencies, data movement optimizations have become increasingly important for DNN compilati

hardwarearxiv-cs-lg

ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval

arXiv:2604.10898v1 Announce Type: new Abstract: Large language models (LLMs) have shown great performance on complex reasoning tasks but often require generating long intermediate thoughts before reac

A Mathematical Framework for Temporal Modeling and Counterfactual Policy Simulation of Student Dropout

arXiv:2604.08874v1 Announce Type: cross Abstract: This study proposes a temporal modeling framework with a counterfactual policy-simulation layer for student dropout in higher education, using LMS eng

AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer

arXiv:2604.09280v1 Announce Type: cross Abstract: Extranodal extension (ENE) is an emerging prognostic factor in human papillomavirus (HPV)-associated oropharyngeal cancer (OPC), although it is curren

researcharxiv-cs-cv

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection

model-releasesarxiv-cs-lg

arXiv:2604.09166v1 Announce Type: new Abstract: Anomaly detection (AD) in chemical processes based on deep learning offers significant opportunities but requires large, diverse, and well-annotated tra

b8775

local-aillama-cpp-releases

Build b8775 is a specific incremental release of llama.cpp, the open-source C/C++ library for local LLM inference maintained under the ggml-org GitHub organization. Like other builds in its rapid, com

Enhancing LLM Problem Solving via Tutor-Student Multi-Agent Interaction

arXiv:2604.08931v1 Announce Type: new Abstract: Human cognitive development is shaped not only by individual effort but by structured social interaction, where role-based exchanges such as those betwe

IBM demonstrates extreme scale with a 100B vector database

IBM Research demonstrated the capability to store and search across a database of 100 billion vectors, showcasing extreme-scale vector storage for AI applications. This work addresses the growing need

applicationsibm-research

SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework

arXiv:2602.17330v3 Announce Type: replace-cross Abstract: Comparative analysis of adaptive immune repertoires at population scale is hampered by two practical bottlenecks: the near-quadratic cost of p

TurPy: a physics-based and differentiable optical turbulence simulator for algorithmic development and system optimization

model-releasesarxiv-cs-cv

arXiv:2604.07248v2 Announce Type: replace-cross Abstract: Developing optical systems for free-space applications requires simulation tools that accurately capture turbulence-induced wavefront distorti

KIV: 1M token context window on a RTX 4070 (12GB VRAM), no retraining, drop-in HuggingFace cache replacement - Works with any model that uses DynamicCache [P]

model-releasesr-machinelearning

KIV is a project shared on r/MachineLearning presenting a drop-in replacement for HuggingFace's `DynamicCache` that enables up to 1 million token context windows on consumer hardware with only 12GB of

12 Apr 2026

b8756

local-aillama-cpp-releases

The search results did not return the specific changelog details for build b8756. Based on what is available and the general context of llama.cpp's rolling release model, here is a factual summary ...

Home safe!!!

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safetygary-marcus--x

Paper: https://arxiv.org/pdf/2604.02592

applicationsethan-mollick--x

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what happened

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industryr-chatgpt

AI-Driven Research for Databases

arXiv:2604.06566v1 Announce Type: cross Abstract: As the complexity of modern workloads and hardware increasingly outpaces human research and engineering capacity, existing methods for database perfor

AsyncTLS: Efficient Generative LLM Inference with Asynchronous Two-level Sparse Attention

arXiv:2604.07815v1 Announce Type: new Abstract: Long-context inference in LLMs faces the dual challenges of quadratic attention complexity and prohibitive KV cache memory. While token-level sparse att

researcharxiv-cs-cl

CASE: Cadence-Aware Set Encoding for Large-Scale Next Basket Repurchase Recommendation

model-releasesarxiv-cs-lg

arXiv:2604.06718v2 Announce Type: cross Abstract: Repurchase behavior is a primary signal in large-scale retail recommendation, particularly in categories with frequent replenishment: many items in a

Code Sharing In Prediction Model Research: A Scoping Review

arXiv:2604.06212v1 Announce Type: cross Abstract: Analytical code is essential for reproducing diagnostic and prognostic prediction model research, yet code availability in the published literature re

researcharxiv-cs-ai

Concentrated siting of AI data centers drives regional power-system stress under rising global compute demand

arXiv:2604.06198v1 Announce Type: cross Abstract: The rapid rise of generative artificial intelligence (AI) is driving unprecedented growth in global computational demand, placing increasing pressure

local-aiarxiv-cs-ai

Domain-Contextualized Inference: A Computable Graph Architecture for Explicit-Domain Reasoning

arXiv:2604.04344v2 Announce Type: replace Abstract: We establish a computation-substrate-agnostic inference architecture in which domain is an explicit first-class computational parameter. This produc

Dynamic Context Evolution for Scalable Synthetic Data Generation

arXiv:2604.07147v1 Announce Type: cross Abstract: Large language models produce repetitive output when prompted independently across many batches, a phenomenon we term cross-batch mode collapse: the p

How Independent are Large Language Models? A Statistical Framework for Auditing Behavioral Entanglement and Reweighting Verifier Ensembles

arXiv:2604.07650v1 Announce Type: cross Abstract: The rapid growth of the large language model (LLM) ecosystem raises a critical question: are seemingly diverse models truly independent? Shared pretra

safetyarxiv-cs-cl

Tutorials

How to get ChatGPT to do substantially more work.

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tutorialsr-chatgpt

Agents

How to Ship Fast and Get Noticed | Agent 4 Buildathon https://x.com/i/broadcasts/1AxRnaRzVENxl

I was unable to retrieve live content from the X (Twitter) broadcast URL or find sufficient search results about this specific Replit Agent 4 Buildathon broadcast. X (Twitter) Spaces/broadcast link...

agentsreplit--x

HyperMem: Hypergraph Memory for Long-Term Conversations

model-releasesarxiv-cs-cl

arXiv:2604.08256v1 Announce Type: new Abstract: Long-term memory is essential for conversational agents to maintain coherence, track persistent tasks, and provide personalized interactions across exte

Tools

i have another announcement to make.

I was unable to retrieve the specific content of the tweet at the provided URL. The tweet (status ID 2042595487107133795) is from Mario Zechner (@badlogicgames), the creator of the libGDX cross-pla...

toolsswyx--x

Incorporating Social Awareness into Control of Unknown Multi-Agent Systems: A Real-Time Spatiotemporal Tubes Approach

arXiv:2510.25597v2 Announce Type: replace-cross Abstract: This paper presents a decentralized control framework that incorporates social awareness into multi-agent systems with unknown dynamics to ach

safetyarxiv-cs-ro

Invisible Influences: Investigating Implicit Intersectional Biases through Persona Engineering in Large Language Models

arXiv:2604.06213v1 Announce Type: cross Abstract: Large Language Models (LLMs) excel at human-like language generation but often embed and amplify implicit, intersectional biases, especially under per

My cat sat on my keyboard...

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industryr-chatgpt

Probabilistic Language Tries: A Unified Framework for Compression, Decision Policies, and Execution Reuse

arXiv:2604.06228v1 Announce Type: cross Abstract: We introduce probabilistic language tries (PLTs), a unified representation that makes explicit the prefix structure implicitly defined by any generati

Agents

Reasoning Graphs: Deterministic Agent Accuracy through Evidence-Centric Chain-of-Thought Feedback

arXiv:2604.07595v1 Announce Type: cross Abstract: Language model agents reason from scratch on every query: each time an agent retrieves evidence and deliberates, the chain of thought is discarded and

agentsarxiv-cs-cl

SMFD-UNet: Semantic Face Mask Is The Only Thing You Need To Deblur Faces

arXiv:2604.07477v1 Announce Type: new Abstract: For applications including facial identification, forensic analysis, photographic improvement, and medical imaging diagnostics, facial image deblurring

applicationsarxiv-cs-cv

the masculine urge to grab your laptop, a starlink receiver, clear your schedule and go to a cabin in the woods for a few weeks to strictly …

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industryelon-musk--x

Watching @awnihannun at @ollama

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local-aiollama--x

What image/video training data is hardest to find right now? [R]

researchr-machinelearning

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WTH is going on?

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industryr-chatgpt

Experimentation is cheap, even if the only person who cares about the result is you.

applicationsethan-mollick--x

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Tools

feeling very optimistic about the state and future of IRL community in London atm 🖤

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toolsswyx--x

If only we’d trained Grok on just these 2 books, we’d be done already!

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industryelon-musk--x

Tools

look who i found more stickers to the collection 🫡 @mayvencraft @hugorcd

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toolsswyx--x