All entries

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting

arXiv:2506.01015v2 Announce Type: replace Abstract: Segment Anything Model 2 (SAM2) exhibits strong generalisation for promptable segmentation in video clips; however, its integration with the audio m

researcharxiv-cs-cv

Autofocus Retrieval: An Effective Pipeline for Multi-Hop Question Answering With Semi-Structured Knowledge

DGX agent

arXiv:2505.09246v4 Announce Type: replace-cross Abstract: In many real-world settings, machine learning models and interactive systems have access to both structured knowledge, e.g., knowledge graphs

applicationsarxiv-cs-ai

15 May 2026

Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information

model-releasesarxiv-cs-cl

arXiv:2504.07738v3 Announce Type: replace Abstract: In this document, we discuss a multi-step approach to automated construction of a knowledge graph, for structuring and representing domain-specific

Automatic Landmark-Based Segmentation of Human Subcortical Structures in MRI

arXiv:2605.14221v1 Announce Type: new Abstract: Precise segmentation of brain structures in magnetic resonance imaging (MRI) is essential for reliable neuroimaging analysis, yet voxel-wise deep models

local-aiarxiv-cs-cv

AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving

arXiv:2603.14851v3 Announce Type: replace Abstract: Integrating vision-language models (VLMs) into end-to-end (E2E) autonomous driving (AD) systems has shown promise in improving scene understanding.

safetyarxiv-cs-cv

Average Gradient Outer Product in kernel regression provably recovers the central subspace for multi-index models

arXiv:2605.15082v1 Announce Type: cross Abstract: We study a prototypical situation when a learned predictor can discover useful low-dimensional structure in data, while using fewer samples than are n

researcharxiv-cs-lg

AVEX: What Matters for Animal Vocalization Encoding

arXiv:2508.11845v3 Announce Type: replace-cross Abstract: Bioacoustics, the study of sounds produced by living organisms, plays a vital role in conservation, biodiversity monitoring, and behavioral st

researcharxiv-cs-ai

b9159

b9159 is a release of llama.cpp published on May 14, 2026 . llama.cpp is a C/C++ implementation of large language model inference that enables efficient LLM execution on consumer hardware with minimal

b9161

Release b9161 of llama.cpp includes enhanced regex handling for Qwen3.5 tokenizer, adding a custom unicode handler to prevent stack overflows on long inputs . The release also adds SYCL Level Zero SDK

b9163

b9163 is a llama.cpp release that adds a custom Unicode regex handler for Qwen3.5's tokenizer to prevent stack overflows on long inputs . The release also includes improvements to SYCL memory manageme

b9165

Release b9165 fixes a transform issue with the top entry in the release archive . The release includes pre-built binaries for multiple platforms including macOS, Linux, Android, and Windows with vario

b9169

Release b9169 of llama.cpp includes updates to multi-token multimodal decoding (mtmd) functionality, adding chunks and fixing preprocessing for Qwen3A models . The changes include attention mask imple

b9172

b9172 is a release of llama.cpp that includes binaries for macOS, Linux, Android, Windows, and openEuler platforms with support for various hardware configurations including CPU, Vulkan, CUDA, ROCm, O

Backstage with Lakebase, part 2

This article is the second installment in a series exploring Lakebase, Databricks' data management solution, providing behind-the-scenes insights into its architecture, capabilities, or integration wi

industrydatabricks

Bad Seeing or Bad Thinking? Rewarding Perception for Vision-Language Reasoning

arXiv:2605.14054v1 Announce Type: new Abstract: Achieving robust perception-reasoning synergy is a central goal for advanced Vision-Language Models (VLMs). Recent advancements have pursued this goal v

agentsarxiv-cs-ai

BCI-Based Assessment of Ocular Response Time Using Dynamic Time Warping Leveraging an RDWT-Driven Deep Neural Framework

arXiv:2605.14883v1 Announce Type: cross Abstract: Mild traumatic brain injury (mTBI) is a prevalent condition that remains difficult to diagnose in its early stages. Oculomotor dysfunction is a well-e

researcharxiv-cs-lg

Tutorials

bde: A Python Package for Bayesian Deep Ensembles via MILE

arXiv:2605.14146v1 Announce Type: new Abstract: bde is a user-friendly Python package for Bayesian Deep Ensembles with a particular focus on tabular data. Built on an efficient JAX implementation of t

tutorialsarxiv-cs-lg

Hardware

BEAM: Binary Expert Activation Masking for Dynamic Routing in MoE

arXiv:2605.14438v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) architectures enhance the efficiency of large language models by activating only a subset of experts per token. However, standa

hardwarearxiv-cs-ai

Beau Rothrock had been at @AngelList for two months when he walked into a Redshift-to-Snowflake migration in deep trouble, already two month…

Beau Rothrock had been at @AngelList for two months when he walked into a Redshift-to-Snowflake migration in deep trouble, already two months behind schedule. He had a 5-week window to migrate all 14,

agentscognition-ai--x

Before the Body Moves: Learning Anticipatory Joint Intent for Language-Conditioned Humanoid Control

arXiv:2605.14417v1 Announce Type: cross Abstract: Natural language is an intuitive interface for humanoid robots, yet streaming whole-body control requires control representations that are executable

safetyarxiv-cs-cv

Behavior Cloning for Active Perception with Low-Resolution Egocentric Vision

arXiv:2605.14106v1 Announce Type: new Abstract: We investigate whether behavior cloning is sufficient to produce active perception in a structured object-finding task. A low-cost robot arm equipped wi

researcharxiv-cs-ro

Behavioral Data-Driven Optimal Trajectory Generation for Rotary Cranes

arXiv:2605.14944v1 Announce Type: new Abstract: With the growth of the construction industry and the global shortage of skilled labor, the automation of crane control has become increasingly important

safetyarxiv-cs-ro

Bellman Value Decomposition for Task Logic in Safe Optimal Control

arXiv:2602.19532v2 Announce Type: replace Abstract: Real-world tasks involve nuanced combinations of goal and safety specifications. In high dimensions, the challenge is exacerbated: formal automata b

safetyarxiv-cs-ro

Beware the empathy exploit. Empathy is good and right when thought through (deep), but can be deadly to civilization when simply stimulus-re…

Beware the empathy exploit. Empathy is good and right when thought through (deep), but can be deadly to civilization when simply stimulus-response (shallow). For example, releasing a repeat violent of

industryelon-musk--x

Beyond AI as Assistants: Toward Autonomous Discovery in Cosmology

model-releasesarxiv-cs-ai

arXiv:2605.14791v1 Announce Type: cross Abstract: Recent advances in artificial intelligence (AI) agents are pushing AI beyond tools toward autonomous scientific discovery. We discuss two complementar

Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment

model-releasesarxiv-cs-ai

arXiv:2605.14311v1 Announce Type: cross Abstract: Test-Time Scaling (TTS), which samples multiple candidate actions and ranks them via a Critic Model, has emerged as a promising paradigm for generalis

Beyond Cosine Similarity: Zero-Initialized Residual Complex Projection for Aspect-Based Sentiment Analysis

arXiv:2603.28205v2 Announce Type: replace Abstract: Aspect-Based Sentiment Analysis (ABSA) faces critical challenges due to representation entanglement and false-negative collisions in real-valued emb

researcharxiv-cs-cl

// Beyond Individual Intelligence // One of the more useful multi-agent surveys I've read this year. 200+ papers mapped along three axes: co…

// Beyond Individual Intelligence // One of the more useful multi-agent surveys I've read this year. 200+ papers mapped along three axes: collaboration mechanisms, failure attribution, and self-evolut

agentsdair-ai--x

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems

arXiv:2605.14892v1 Announce Type: new Abstract: LLM-based autonomous agents have demonstrated strong capabilities in reasoning, planning, and tool use, yet remain limited when tasks require sustained

agentsarxiv-cs-ai

Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging

arXiv:2605.14654v1 Announce Type: new Abstract: Self-supervised pre-training methods in medical imaging typically treat each individual as an isolated instance, learning representations through augmen

safetyarxiv-cs-cv

Beyond Mode-Seeking RL: Trajectory-Balance Post-Training for Diffusion Language Models

model-releasesarxiv-cs-cl

arXiv:2605.13935v1 Announce Type: cross Abstract: Diffusion language models are a promising alternative to autoregressive models, yet post-training methods for them largely adapt reward-maximizing obj

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents

arXiv:2510.02837v2 Announce Type: replace Abstract: Although recent tool-augmented benchmarks involve complex requests, evaluation remains limited to answer matching, neglecting critical trajectory as

agentsarxiv-cs-ai

Beyond What to Select: A Plug-and-play Oscillatory Data-Volume Scheduling for Efficient Model Training

arXiv:2605.14773v1 Announce Type: cross Abstract: Data selection accelerates training by identifying representative training data while preserving model performance. However, existing methods mainly f

researcharxiv-cs-ai

BiFedKD: Bidirectional Federated Knowledge Distillation Framework for Non-IID and Long-Tailed ECG Monitoring

model-releasesarxiv-cs-ai

arXiv:2605.14886v1 Announce Type: new Abstract: Electrocardiogram (ECG) monitoring in Internet of Medical Things (IoMT) networks is constrained by strict data-sharing regulations and privacy concerns.

Big move from arXiv: a one-year ban for authors who submit AI-generated content without proper checking. This is not about banning AI from a…

Big move from arXiv: a one-year ban for authors who submit AI-generated content without proper checking. This is not about banning AI from academia. AI can be extremely useful. It can help us write be

safetygary-marcus--x

Bill Ackman says his fund has taken a new stake in Microsoft after the company's recent share price decline; Ackman says investors have underestimated Microsoft (Amy Thomson/Bloomberg)

Amy Thomson / Bloomberg: Bill Ackman says his fund has taken a new stake in Microsoft after the company's recent share price decline; Ackman says investors have underestimated Microsoft — Bill Ackman

industrytechmeme

Bill to block publishers from killing online games advances in California

California's AB 1921 (Protect Our Games Act), introduced in February 2026, would require publishers to take responsibility for the long-term playability of online games. The bill passed a key hurdle o

industryars-technica

BioHuman: Learning Biomechanical Human Representations from Video

model-releasesarxiv-cs-cv

arXiv:2605.14772v1 Announce Type: new Abstract: Understanding human motion beyond surface kinematics is crucial for motion analysis, rehabilitation, and injury risk assessment. However, progress in th

BiRefNet: https://links.comfy.org/3R0QRKW

BiRefNet is a boundary refinement network model integrated into ComfyUI, likely designed for precise image segmentation and edge detection tasks. The model appears to be used as a node within ComfyUI'

local-aicomfyui--x

BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation

arXiv:2605.13859v1 Announce Type: cross Abstract: Spiking Neural Networks (SNNs) offer promising energy-efficient alternatives to large language models (LLMs) due to their event-driven nature and ultr

safetyarxiv-cs-ai

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning

model-releasesarxiv-cs-lg

arXiv:2506.05762v5 Announce Type: replace Abstract: Recent advances in offline Reinforcement Learning (RL) have proven that effective policy learning can benefit from imposing conservative constraints

Tools

Blogs die when they come from 'the ____ team' instead of named individuals With great ownership comes great accountability

Blogs lose authenticity and engagement when attributed to anonymous teams rather than named individual authors, as personal ownership creates accountability and stronger reader connection. The post su

toolsswyx--x

BOOKMARKS: Efficient Active Storyline Memory for Role-playing

arXiv:2605.14169v1 Announce Type: new Abstract: Memory systems are critical for role-playing agents (RPAs) to maintain long-horizon consistency. However, existing RPA memory methods (e.g., profiling)

researcharxiv-cs-cl

Boomi CTO: Agentic engineering is how enterprise AI finally earns its keep

Three years of enterprise AI investment, and most companies are still waiting for the payoff. Boomi LP thinks it has found it, unveiling Boomi Companion, a collection of open-source agent skills that

agentssiliconangle

BOOST: A Data-Driven Framework for the Automated Joint Selection of Kernel and Acquisition Functions in Bayesian Optimization

arXiv:2508.02332v3 Announce Type: replace Abstract: The performance of Bayesian optimization (BO), a highly sample-efficient method for expensive black-box problems, is critically governed by the sele

agentsarxiv-cs-lg

Boosting LLM Reasoning via Human-Inspired Reward Shaping

arXiv:2602.04265v3 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a promising paradigm for enhancing reasoning in Large Language Models (LL

researcharxiv-cs-ai

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance

arXiv:2605.15012v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has achieved great success in developing Large Language Models (LLMs) with chain-of-thought roll

safetyarxiv-cs-ai

Break-the-Beat! Controllable MIDI-to-Drum Audio Synthesis

arXiv:2605.14555v1 Announce Type: cross Abstract: Current methods for creating drum loop audio in digital music production, such as using one-shot samples or resampling, often demand non-trivial effor

safetyarxiv-cs-ai