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ASPECT:Analogical Semantic Policy Execution via Language Conditioned Transfer

arXiv:2604.08355v2 Announce Type: replace Abstract: Reinforcement Learning (RL) agents often struggle to generalize knowledge to new tasks, even those structurally similar to ones they have mastered.

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AssemLM: Spatial Reasoning Multimodal Large Language Models for Robotic Assembly

DGX agent

arXiv:2604.08983v1 Announce Type: new Abstract: Spatial reasoning is a fundamental capability for embodied intelligence, especially for fine-grained manipulation tasks such as robotic assembly. While

model-releasesarxiv-cs-ro

13 Apr 2026

ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering

arXiv:2604.08999v1 Announce Type: cross Abstract: Table serialization remains a critical bottleneck for Large Language Models (LLMs) in complex table question answering, hindered by challenges such as

safetyarxiv-cs-ai

AsymLoc: Towards Asymmetric Feature Matching for Efficient Visual Localization

model-releasesarxiv-cs-cv

arXiv:2604.09445v1 Announce Type: new Abstract: Precise and real-time visual localization is critical for applications like AR/VR and robotics, especially on resource-constrained edge devices such as

Applications

At this point, I assume that every internal memo at an AI lab is just written for public release. The labs are certainly capable of keeping …

applicationsethan-mollick--x

At this point, I assume that every internal memo at an AI lab is just written for public release. The labs are certainly capable of keeping secrets that don’t leak, so they must realize that all-hands

Attention-Based Sampler for Diffusion Language Models

arXiv:2604.08564v1 Announce Type: new Abstract: Auto-regressive models (ARMs) have established a dominant paradigm in language modeling. However, their strictly sequential decoding paradigm imposes fu

researcharxiv-cs-cl

AudioGuard: Toward Comprehensive Audio Safety Protection Across Diverse Threat Models

model-releasesarxiv-cs-ai

arXiv:2604.08867v1 Announce Type: cross Abstract: Audio has rapidly become a primary interface for foundation models, powering real-time voice assistants. Ensuring safety in audio systems is inherentl

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

Automated Instruction Revision (AIR): A Structured Comparison of Task Adaptation Strategies for LLM

model-releasesarxiv-cs-cl

arXiv:2604.09418v1 Announce Type: new Abstract: This paper studies Automated Instruction Revision (AIR), a rule-induction-based method for adapting large language models (LLMs) to downstream tasks usi

Automated Standardization of Legacy Biomedical Metadata Using an Ontology-Constrained LLM Agent

arXiv:2604.08552v1 Announce Type: cross Abstract: Scientific metadata are often incomplete and noncompliant with community standards, limiting dataset findability, interoperability, and reuse. When re

agentsarxiv-cs-ai

Tutorials

Automatic Self-supervised Learning for Social Recommendations

arXiv:2412.18735v3 Announce Type: replace-cross Abstract: In recent years, researchers have leveraged social relations to enhance recommendation performance. However, most existing social recommendati

tutorialsarxiv-cs-lg

AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention

arXiv:2511.18960v3 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models have shown remarkable progress in embodied tasks recently, but most methods process visual observations in

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B-MoE: A Body-Part-Aware Mixture-of-Experts 'All Parts Matter' Approach to Micro-Action Recognition

arXiv:2603.24245v3 Announce Type: replace Abstract: Micro-actions, fleeting and low-amplitude motions, such as glances, nods, or minor posture shifts, carry rich social meaning but remain difficult fo

researcharxiv-cs-cv

b8771

**b8771** is a build release of [llama.cpp](https://github.com/ggml-org/llama.cpp), the open-source C/C++ library for running large language model (LLM) inference locally. Like other incremental build

b8772

Build **b8772** is a recent incremental release of [llama.cpp](https://github.com/ggml-org/llama.cpp), the open-source C/C++ library for local LLM inference. Based on surrounding release activity, it

b8775

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

b8776

b8776

b8777

Build **b8777** is an incremental tagged release of the [llama.cpp](https://github.com/ggml-org/llama.cpp) project, a C/C++ library focused on enabling efficient LLM inference across a wide range of l

b8778

Build **b8778** is an incremental automated release of [llama.cpp](https://github.com/ggml-org/llama.cpp), the open-source C/C++ framework for running LLM inference locally and in the cloud. Like othe

b8779

Build **b8779** is an incremental release of [llama.cpp](https://github.com/ggml-org/llama.cpp), an open-source C/C++ framework for running large language model inference locally and in the cloud. Lik

b8781

llama.cpp build b8781 is the latest release of the open-source C/C++ LLM inference framework, published on April 13, 2026. Its primary change introduces a dedicated DeepSeek v3.2 chat parser along wit

Applications

Back further in history: single cell versus multicellular life mech battles

applicationsethan-mollick--x

This post by Ethan Mollick likely explores AI-generated or conceptual visualizations of battles between single-celled and multicellular organisms framed as mech combat, drawing on biological history f

BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning

model-releasesarxiv-cs-ai

arXiv:2604.09378v1 Announce Type: cross Abstract: Agent ecosystems increasingly rely on installable skills to extend functionality, and some skills bundle learned model artifacts as part of their exec

Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias

arXiv:2405.16772v2 Announce Type: replace-cross Abstract: Social recommendation models weave social interactions into their design to provide uniquely personalized recommendation results for users. Ho

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Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning

arXiv:2512.11179v3 Announce Type: replace Abstract: Graph-based multi-agent reinforcement learning (MARL) enables coordinated behavior under partial observability by modeling agents as nodes and commu

agentsarxiv-cs-lg

Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods

arXiv:2510.18075v2 Announce Type: replace Abstract: Machine learning (ML) holds great potential to advance anomaly detection (AD) in chemical processes. However, the development of ML-based methods is

researcharxiv-cs-lg

Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning

arXiv:2509.16606v5 Announce Type: replace-cross Abstract: In networked multi-agent reinforcement learning (Networked-MARL), decentralized agents must act under local observability and constrained comm

local-aiarxiv-cs-lg

Bayesian Social Deduction with Graph-Informed Language Models

arXiv:2506.17788v2 Announce Type: replace Abstract: Social reasoning - inferring unobservable beliefs and intentions from partial observations of other agents - remains a challenging task for large la

agentsarxiv-cs-ai

BEDTime: A Unified Benchmark for Automatically Describing Time Series

model-releasesarxiv-cs-cl

arXiv:2509.05215v3 Announce Type: replace Abstract: Recent works propose complex multi-modal models that handle both time series and language, ultimately claiming high performance on complex tasks lik

Benchmarked @DJLougen ’s Ornstein-27B-v2 Q6_K on my RTX 3090 using hermes-bench, my new open-source benchmarking UI for local LLMs and Herme…

model-releasesclem-delangue--x

Benchmarked @DJLougen ’s Ornstein-27B-v2 Q6_K on my RTX 3090 using hermes-bench, my new open-source benchmarking UI for local LLMs and Hermes agents. Ornstein is a Qwen 3.5 27B fine-tune trained on re

Benchmarking CNN- and Transformer-Based Models for Surgical Instrument Segmentation in Robotic-Assisted Surgery

model-releasesarxiv-cs-cv

arXiv:2604.09151v1 Announce Type: new Abstract: Accurate segmentation of surgical instruments in robotic-assisted surgery is critical for enabling context-aware computer-assisted interventions, such a

BERT-as-a-Judge: A Robust Alternative to Lexical Methods for Efficient Reference-Based LLM Evaluation

arXiv:2604.09497v1 Announce Type: cross Abstract: Accurate evaluation is central to the large language model (LLM) ecosystem, guiding model selection and downstream adoption across diverse use cases.

researcharxiv-cs-ai

Best AI for speech enhancement (bad mic -> good mic quality)

local-air-stablediffusion

This Reddit thread from r/StableDiffusion discusses community recommendations for AI-powered speech enhancement tools that can improve low-quality microphone audio to sound more professional. Top tool

Industry

Best AI tools for students & competitive exam prep? Did I miss something?

This r/ChatGPT thread is a community discussion where students share and crowdsource recommendations for the best AI tools to use for studying and competitive exam preparation. Commonly recommended to

industryr-chatgpt

Better Eyes, Better Thoughts: Why Vision Chain-of-Thought Fails in Medicine

arXiv:2603.06665v2 Announce Type: replace-cross Abstract: Large vision-language models (VLMs) often benefit from chain-of-thought (CoT) prompting in general domains, yet its efficacy in medical vision

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Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer

model-releasesarxiv-cs-lg

arXiv:2604.09414v1 Announce Type: cross Abstract: Learning-to-Defer routes each input to the expert that minimizes expected cost, but it assumes that the information available to every expert is fixed

Beyond Flicker: Detecting Kinematic Inconsistencies for Generalizable Deepfake Video Detection

arXiv:2512.04175v2 Announce Type: replace Abstract: Generalizing deepfake detection to unseen manipulations remains a key challenge. A recent approach to tackle this issue is to train a network with p

researcharxiv-cs-cv

Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models

arXiv:2604.09085v1 Announce Type: cross Abstract: Large-scale digital platforms generate billions of timestamped user-item interactions (events) that are crucial for predicting user attributes in, e.g

researcharxiv-cs-ai

Beyond Relevance: Utility-Centric Retrieval in the LLM Era

arXiv:2604.08920v1 Announce Type: cross Abstract: Information retrieval systems have traditionally optimized for topical relevance-the degree to which retrieved documents match a query. However, relev

agentsarxiv-cs-ai

Beyond Segmentation: Structurally Informed Facade Parsing from Imperfect Images

arXiv:2604.09260v1 Announce Type: new Abstract: Standard object detectors typically treat architectural elements independently, often resulting in facade parsings that lack the structural coherence re

safetyarxiv-cs-cv

Beyond Spherical geometry: Unraveling complex features of objects orbiting around stars from its transit light curve using deep learning

arXiv:2509.14875v2 Announce Type: replace-cross Abstract: Characterizing the geometry of an object orbiting around a star from its transit light curve is a powerful tool to uncover various complex phe

researcharxiv-cs-lg

Bharat Scene Text: A Novel Comprehensive Dataset and Benchmark for Indian Language Scene Text Understanding

model-releasesarxiv-cs-ai

arXiv:2511.23071v2 Announce Type: replace-cross Abstract: Reading scene text, that is, text appearing in images, has numerous application areas, including assistive technology, search, and e-commerce.

BIAS: A Biologically Inspired Algorithm for Video Saliency Detection

arXiv:2604.08858v1 Announce Type: new Abstract: We present BIAS, a fast, biologically inspired model for dynamic visual saliency detection in continuous video streams. Building on the Itti--Koch frame

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Bias-Constrained Diffusion Schedules for PDE Emulations: Reconstruction Error Minimization and Efficient Unrolled Training

arXiv:2604.08357v2 Announce Type: replace Abstract: Conditional Diffusion Models are powerful surrogates for emulating complex spatiotemporal dynamics, yet they often fail to match the accuracy of det

safetyarxiv-cs-lg

Biologically-Grounded Multi-Encoder Architectures as Developability Oracles for Antibody Design

model-releasesarxiv-cs-lg

arXiv:2604.09369v1 Announce Type: cross Abstract: Generative models can now propose thousands of de novo antibody sequences, yet translating these designs into viable therapeutics remains constrained

BLEG: LLM Functions as Powerful fMRI Graph-Enhancer for Brain Network Analysis

arXiv:2604.07361v2 Announce Type: replace Abstract: Graph Neural Networks (GNNs) have been widely used in diverse brain network analysis tasks based on preprocessed functional magnetic resonance imagi

safetyarxiv-cs-lg

BlendFusion -- Scalable Synthetic Data Generation for Diffusion Model Training

arXiv:2604.09022v1 Announce Type: new Abstract: With the rapid adoption of diffusion models, synthetic data generation has emerged as a promising approach for addressing the growing demand for large-s

researcharxiv-cs-cv

Industry

Bolsheviks want to kill us all. They killed Charlie. They’ve tried to kill Trump multiple times. Either you understand what time it is or yo…

In a post shared or amplified by Elon Musk on X (formerly Twitter), Jack Posobiec makes inflammatory claims drawing a parallel between historical Bolshevik violence and contemporary political events,

industryelon-musk--x