Search: “models”

A Unifying Relational Perspective on Expressive Lottery Tickets

model-releasesarxiv-cs-lg

arXiv:2608.18819v1 Announce Type: new Abstract: Graph neural networks (GNNs) are widely used, but how parameter sparsity affects the expressivity of relational (RGNNs) and temporal (TGNNs) variants is

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Applications

Accurate Decoding of Natural Sentences from Non-Invasive Brain Recordings

DGX agent

arXiv:2608.18114v1 Announce Type: cross Abstract: Restoring communication for people who have lost the ability to speak or move after a brain injury is a major challenge. While intracranial implants n

applicationsarxiv-cs-ai

20 Aug 2026

Adaptive Multi-Agent Feature Selection for Personalized Fall Risk Prevention

arXiv:2608.18450v1 Announce Type: new Abstract: Falls among older adults represent a major public health challenge driven by complex, time-varying interactions across multiple risk domains. Effective

agentsarxiv-cs-lg

AI did not suddenly discover a cancer vaccine. That is engagement bait. Moderna and Merck reported positive Phase 3 results for Intismeran p…

model-releasesgary-marcus--x

AI did not suddenly discover a cancer vaccine. That is engagement bait. Moderna and Merck reported positive Phase 3 results for Intismeran plus Keytruda in 1,137 melanoma patients after surgery. This

b10506

metal : dequantize q8_0 using packed types (#27370) Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFra

b10507

mtmd: add mtmd_bitmap_set_mergeable (#27348) Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework

b10509

ggml: add ggml_rope_set_offset (+ metal support) (#27120) add params cpu kernel metal kernel add test backend ops gate other backends ggml: (cuda) support ggml_rope_set_offset (#27121) rm cuda support

b10516

vulkan: add null checks in ggml_vk_queue_command_pools_cleanup (#27353) Guard against null queue pointers. Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/4

b10517

vulkan : dequant q8_0 KV once in coopmat1 (#25494) vulkan : dequant q8_0 KV once in coopmat1 Assisted-by: Claude (Opus 4.8) vulkan : fall back instead of aborting when FA scratch exceeds maxStorageBuf

b10520

ggml-cpu: gate __fp16 on __ARM_FP16_FORMAT_IEEE (#26860) ggml-cpu: gate __fp16 on __ARM_FP16_FORMAT_IEEE __ARM_NEON only signals NEON availability. The __fp16 type also needs the IEEE half format, imp

Binance launches Agent OS, a platform that lets AI agents analyze markets and execute trades on users' behalf; users set limits on AI agents' access and trades (Jagmeet Singh/TechCrunch)

Jagmeet Singh / TechCrunch: Binance launches Agent OS, a platform that lets AI agents analyze markets and execute trades on users' behalf; users set limits on AI agents' access and trades — Binance, t

model-releasestechmeme

Brazil announces ~444.2M in AI investments split between US and Chinese companies, including ~250.3M for a supercomputing project with Huawei and iFlytek (Marcela Ayres/Reuters)

Marcela Ayres / Reuters: Brazil announces ~444.2M in AI investments split between US and Chinese companies, including ~250.3M for a supercomputing project with Huawei and iFlytek — Brazil's government

model-releasestechmeme

Building real-time digital twin instances with Function+Data Flow: user evaluation and extension for iterative pipelines

arXiv:2608.18480v1 Announce Type: cross Abstract: Digital twins (DTs) increasingly leverage artificial intelligence (AI) and machine learning (ML) pipelines, both to build real-time DTs from high-fide

researcharxiv-cs-cl

ChatGPT search now uses the site:operator at scale

model-releasessimon-willison

ChatGPT search now uses the site:operator at scale Promptwatch is part of the emerging 'GEO' space, for Generative Engine Optimization - the chatbot version of SEO, where companies offer tools and con

Claude's skill creator (literally, just ask it to make a skill) is still the best way to make reusable skills if you care about the details.…

model-releasesethan-mollick--x

Claude's skill creator (literally, just ask it to make a skill) is still the best way to make reusable skills if you care about the details. ChatGPT tends to want to do magic & just do it for you, whi

Converting Expert Deliberation into Financial Signals Through A Context-Aware NLP Pipeline

arXiv:2608.18911v1 Announce Type: new Abstract: We introduce the CDSP (context-conditional deliberation signal pipeline), converting an investment committee's meeting transcripts into structured predi

researcharxiv-cs-lg

DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering

arXiv:2608.18988v1 Announce Type: cross Abstract: Retrieve-then-generate pipelines are commonly used to produce deep-research answers for open-ended questions, but retrieval alone is insufficient: LLM

DeGLIF for Label Noise Robust Node Classification using GNNs

arXiv:2506.00244v2 Announce Type: replace Abstract: Noisy labelled datasets are generally inexpensive compared to clean labelled datasets, and the same is true for graph data. In this paper, we propos

researcharxiv-cs-lg

DentAgent: Evidence-Centric Multi-Agent Coordination for Multimodal Dental Reasoning

arXiv:2608.18878v1 Announce Type: new Abstract: Oral diseases affect billions of people worldwide, underscoring a pressing need for accurate and reliable dental assessment that integrates heterogeneou

agentsarxiv-cs-ai

Tutorials

Epistemic Subordination: Generative AI and the Infrastructure of Knowledge

arXiv:2608.18758v1 Announce Type: cross Abstract: Generative AI does not merely produce biased outputs. It encodes the majority's way of knowing as the default infrastructure of knowledge itself. We c

tutorialsarxiv-cs-ai

Evaluation of Monocular SLAM Systems on High-Altitude Nadir UAV Footage

model-releasesarxiv-cs-ro

arXiv:2608.18632v1 Announce Type: new Abstract: Aerial nadir video combines weak geometric constraints with severe perceptual aliasing, making it a difficult regime for monocular SLAM. We benchmark fi

Finally a good paper testing whether agents can really post-train other agents. (bookmark it) They analyzed a large corpus of publicly relea…

Finally a good paper testing whether agents can really post-train other agents. (bookmark it) They analyzed a large corpus of publicly released post-training trajectories. Across tasks, the agent lock

model-releasesdair-ai--x

Safety

`From Prompt to Perturbation': An Adaptive Framework for Voice-Based Jailbreaks on Audio LLMs

arXiv:2502.00735v4 Announce Type: replace-cross Abstract: As large language models (LLMs) are increasingly integrated into audio-based applications, growing concerns have emerged regarding their vulne

safetyarxiv-cs-ai

Safety

Future Policy Approximation for Offline Reinforcement Learning in LLM Reasoning

arXiv:2509.19893v3 Announce Type: replace Abstract: Reinforcement learning (RL) has emerged as a key driver of post-training for complex reasoning in large language models (LLMs), yet online RL introd

safetyarxiv-cs-cl

GLM 5.3 SlopCodeBench Results

model-releasesr-localllama

Howdy once again, I had a request to try out 5.3 on the benchmarks - they're unsaturated so it's a fun test right now! This one was interesting because I accidentally ran it on all 36 problems (rip 20

Local Ai

Graph-Based Approaches to Learning Epileptogenic Zone Localization Using Stereo-EEG Recordings

arXiv:2608.18887v1 Announce Type: new Abstract: The epileptogenic zone (EZ) is the brain region that generates seizures in an individual, and is the target of epilepsy surgery. Localizing the EZ from

local-aiarxiv-cs-lg

Great UI starts with good code. Give Qwen3.8-Max a try on Kilo! 👀 @kilocode

Great UI starts with good code. Give Qwen3.8-Max a try on Kilo! 👀 @kilocode Qwen3.8-Max landed #4 on Arena's Frontend Code leaderboard — one spot above Claude Fable 5. We ran both on the same 10 UI de

model-releasesqwen--x

Grok 4.6

model-releaseselon-musk--x

Grok 4.6 Grok 4.6 just tied for #1 on the Artificial Analysis Agentic Index • Grok 4.6 (high) — 59 • Claude Opus 5 (max) — 59 Outperforming Claude Fable 5 and GPT-5.6 Sol We’re entering the agentic er

How Do VLMs Fail? Vision-Operation Misalignment in Compositional VQA

arXiv:2607.16094v2 Announce Type: replace Abstract: Compositional visual question answering requires Vision-Language Models (VLMs) to execute multiple reasoning operations like object selection, spati

researcharxiv-cs-cv

Hybrid ANN-SNN Pipeline with Local Plasticity

arXiv:2606.20151v2 Announce Type: replace-cross Abstract: This work proposes a hybrid ANN-SNN pipeline that effectively leverages the rich embeddings of pretrained artificial neural networks (ANNs) to

I know so many first-time entrepreneurs building on Replit who simply don’t have the funds to spend heavily on usage, but are working on gre…

I know so many first-time entrepreneurs building on Replit who simply don’t have the funds to spend heavily on usage, but are working on great projects. I’ve been fortunate enough to be able to spend

model-releasesreplit--x

Applications

Image-Guided Pavement Defect Recognition in GPR Data with novel 3D Deep Learning Architecture

arXiv:2608.19177v1 Announce Type: new Abstract: Ground Penetrating Radar (GPR) is a widely adopted non-destructive sensing technology for subsurface inspection in civil and transportation engineering.

applicationsarxiv-cs-cv

Introducing the Privacy-HSD Trade-off: Hate Speech Detection, but not at the Cost of Privacy

model-releasesarxiv-cs-cl

arXiv:2608.19006v1 Announce Type: new Abstract: Hate speech is a real and timely threat that affects a large portion of online users, especially youth and minority groups. While building reliable and

Is your coding agent uploading all your code?

After Grok Build was caught uploading entire Git repos, we read the privacy docs for Claude Code, Codex, Cursor, GitHub Copilot, and Grok Build to compare what code leaves your machine, what gets reta

model-releasesarize-ai

Kimi K3 is now rolled out to over half of the subscription base for included usage, and we're continuing to expand access today. US and Euro…

Kimi K3 is now rolled out to over half of the subscription base for included usage, and we're continuing to expand access today. US and Europe-hosted and zero data retention. .@Kimi_Moonshot Kimi K3 i

model-releasesollama--x

LabDex: A Hierarchical Benchmark for Dexterous Manipulation in Laboratories

model-releasesarxiv-cs-ro

arXiv:2608.18618v1 Announce Type: new Abstract: Autonomous laboratories hold great promise for accelerating scientific discovery. To achieve this vision, robots are supposed to dexterously manipulate

Tutorials

Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale Datasets

arXiv:2608.18907v1 Announce Type: cross Abstract: Small-scale image classification is often limited by the scarcity of training data. Generative data augmentation (GDA) based on pretrained generative

tutorialsarxiv-cs-ai

LEDGER: Claim-to-Evidence Trace Graphs for Auditing LLM Agents

arXiv:2608.18398v1 Announce Type: cross Abstract: Large language model (LLM) agents can now carry out long-horizon technical workflows involving complex tool use, code execution, file edits, and gener

agentsarxiv-cs-ai

Hardware

LLM-Powered Predictive Decision-Making for Sustainable Data Center Operations

arXiv:2608.18503v1 Announce Type: new Abstract: The growing demand for AI-driven workloads, particularly from Large Language Models (LLMs), has raised concerns about the significant energy and resourc

hardwarearxiv-cs-lg

Many Optimizers But Only One Training Path: Repeated Resampling for Adaptive Optimizer Selection

arXiv:2608.18810v1 Announce Type: new Abstract: An optimizer is usually chosen before training a deep neural network and then kept fixed. Treating optimizer choice as a hyperparameter could boost perf

researcharxiv-cs-lg

MAVEN: A Macro-Societal Value Evaluation Framework of Multimodal Content with Compact Aligned Evaluators

model-releasesarxiv-cs-cl

arXiv:2608.18096v1 Announce Type: new Abstract: Assessing whether multimodal content aligns with macro-societal values, such as peace, justice, and freedom, has become an increasingly urgent challenge

MemFuse: Multi-Source Memory Fusion from Fragmented Observations

arXiv:2608.18704v1 Announce Type: cross Abstract: Long-term memory is essential for agents that operate across extended interactions, yet existing memory systems and benchmarks predominantly focus on

MissDiag: Diagnostic Evaluation of Incomplete-Knowledge Robustness in KGQA and KG-RAG

model-releasesarxiv-cs-cl

arXiv:2608.18489v1 Announce Type: new Abstract: Knowledge graph question answering (KGQA) and knowledge-graph-based retrieval-augmented generation (KG-RAG) aim to ground answers in explicit graph evid

Multi-Agent Off-Policy Deep Reinforcement Learning for Smart Campus Coverage

model-releasesarxiv-cs-lg

arXiv:2608.19049v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) has recently gained a great attention due to its real-time adaptation and effectiveness in complex optimization proble

New benchmark just dropped!

model-releasesr-localllama

The pelican on a bicycle is sooo outdated, so I came up with a new, improved version. Qwen3.8-27b medium (UD-Q4_K_XL) vs. Sol 5.6 high vs. Qwen3.6-35B (UD-Q6_K_XL) Prompt (only real with typo!): 'Crea

One Gate Is Not Enough: Composing Stateful Pre-Action Controls for Agentic AI

arXiv:2608.18360v1 Announce Type: cross Abstract: Agentic AI systems take consequential actions governed by more than one pre-action control at once: authority, resource, and evidence gates that can a

agentsarxiv-cs-ai

Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation

arXiv:2608.19098v1 Announce Type: cross Abstract: Multi-teacher on-policy distillation (M-OPD) has emerged as a promising paradigm for consolidating domain-specialized reinforcement learning (RL) expe

Orienteering Problem with Uncertain Time-Varying Rewards: Framework and Benchmark for Everyday Service Robotics

arXiv:2608.18672v1 Announce Type: cross Abstract: We present the orienteering problem with uncertain time-varying rewards (OP-UTVR), a novel variant of the orienteering problem (OP). While most existi