Search: “tools”

Toward Self-Adaptive Physical AI: Can LLM Agents Manage Long-Horizon Physical Tasks?

arXiv:2609.13436v1 Announce Type: new Abstract: Large Language Model (LLM) agents offer a promising path toward autonomously managing long-term physical tasks without human intervention. However, phys

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Transfer Learning for Socioeconomic Estimation in Forced-Displacement Settings

DGX agent

arXiv:2609.15773v1 Announce Type: cross Abstract: Progress in inclusive household surveys has strengthened socioeconomic evidence for forcibly displaced populations, providing indispensable benchmarks

researcharxiv-cs-ai

15 Sept 2026

Trustworthy Agentic AI: A Comprehensive Cybersecurity and Systems Survey on Threat Landscapes, Defense Architectures, and Open Challenges

arXiv:2609.13731v1 Announce Type: new Abstract: The transition from passive foundation models to autonomous, goal-directed agentic AI systems has introduced unprecedented capabilities by coupling recu

safetyarxiv-cs-ai

Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks

arXiv:2609.13872v1 Announce Type: cross Abstract: As 6G networks transition from theoretical frameworks into operational realities, artificial intelligence (AI) evolves from an add-on optimization too

Turkish MMLU Pro: Traceable Option Augmentation and Its Validity Limits in Turkish Multiple-Choice Evaluation

arXiv:2609.15467v1 Announce Type: cross Abstract: Adding answer options can lower multiple-choice scores without improving assessment validity. Turkish MMLU Pro examines this distinction using 12,000

Understanding the Limits of Agentic ICD Coding

arXiv:2609.13806v1 Announce Type: cross Abstract: ICD-10-CM codes are alphanumeric codes used in the US to classify diagnoses and injuries for medical billing and epidemiological reporting. Standard I

Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents

arXiv:2609.13422v1 Announce Type: new Abstract: LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for complex professional work remains unclear. We s

VisInteract: Towards Dynamic Interactive Text-to-Visualization under Imperfect Queries

arXiv:2609.15182v1 Announce Type: new Abstract: Real-world visualization requests are routinely ambiguous, incomplete, or factually incorrect, yet existing Text-to-Visualization (Text-to-Vis) systems

Vision-Language Models for Criterion-Level Grading of Handwritten Examinations in Outcome-Based Education

model-releasesarxiv-cs-cv

arXiv:2609.14284v1 Announce Type: new Abstract: Criterion-level grading connects examination performance to learning outcomes, but manual marking introduces workload and variation between markers. Thi

Voodoo Dynamic Quant - Now MIT Licensed

Two months ago I announced I had found a new dynamic quant method called Voodoo Quant which was SOTA for the most aggressive quant levels on some smaller Qwen3.5 GGUF models. I kept the methodology pr

Vulnerability Localization Benchmark: Measuring Agentic Security Analysis at Repository Scale

arXiv:2609.15939v1 Announce Type: cross Abstract: Language-model agents increasingly operate over complete software repositories, yet cybersecurity evaluations primarily measure whether they can detec

ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search

arXiv:2609.13356v1 Announce Type: new Abstract: In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and algorithmic efficiency. ZGCM

Zonal RL-RRT: Integrated RL-RRT Path Planning with Collision Probability and Zone Connectivity

arXiv:2410.24205v2 Announce Type: replace-cross Abstract: Path planning in complex environments poses significant challenges, particularly in achieving time efficiency while maintaining a fair success

Applications

A Dual Cross-Attention Framework for Colposcopic CIN Grading and Swede Score Prediction Using a New Multi-Center Dataset

arXiv:2609.12827v1 Announce Type: new Abstract: Cervical cancer is a major global health challenge, with disease burden falling disproportionately on low- and middle-income countries (LMICs) due to a

applicationsarxiv-cs-cv

A Large-Scale AIS Dataset from Finnish Water

arXiv:2609.12938v1 Announce Type: new Abstract: This research paper contributes to the maritime research community by introducing a comprehensive AIS dataset from Finnish waters, specifically the Balt

researcharxiv-cs-lg

Agent-ready analytics: Unlocking insights with BigQuery augmented analytics

BigQuery now features a suite of augmented analytics Table-Valued Functions (TVFs) designed to automate complex data analysis at scale. Augmented analytics combines AI, ML and statistical methods to a

agentsgoogle-cloud-ai

AIM: A Privacy-Aware Interoperable Memory Framework for Multi-Agent Multi-User LLM Systems

model-releasesarxiv-cs-lg

arXiv:2609.12320v1 Announce Type: cross Abstract: Traditional large language models (LLMs) are scoped to individual user sessions, limiting their knowledge to a single conversation and preventing them

Automated Detection and Structuring of Social Tipping Point Evidence in Climate related Documents: A Modular AI Framework

model-releasesarxiv-cs-cl

arXiv:2609.12254v1 Announce Type: new Abstract: The climate literature has grown faster than review teams can read it. That gap matters most for a concept like the environmental social tipping point,

Best Knowledge Engine Platforms in 2026

This guide identifies six leading knowledge‑engine platforms in 2026—Pinecone Nexus, Databricks Genie, Snowflake Cortex, Microsoft IQ, Palantir Foundry, and Glean—that each transform heterogeneous dat

agentspinecone

BodhiPromptShield: Pre-Inference Prompt Mediation for Surface-Form Privacy Propagation in LLM Agent Pipelines

model-releasesarxiv-cs-cv

arXiv:2604.05793v2 Announce Type: replace-cross Abstract: In LLM agent pipelines, prompt privacy risk propagates beyond a single model call: raw user content enters retrieval queries, memory writes, t

Tutorials

Classical and quantum kernel fusion for two-sample testing

arXiv:2511.20941v2 Announce Type: replace-cross Abstract: Two-sample tests have been extensively employed in various scientific fields and machine learning to discriminate whether two sets of samples

tutorialsarxiv-cs-lg

Comfort by Construction: Adaptive, Comfort-Bounded Action Spaces for Learned Driving Policies

arXiv:2609.13011v1 Announce Type: new Abstract: Data-driven driving simulators command accelerations and steering rates from a fixed grid without constraining the realized accelerations and jerks. As

safetyarxiv-cs-ro

commit-rewriter 0.1

Release: commit-rewriter 0.1 I built this little web app the other day to help edit the commit messages for the Datasette security releases. The initial commits were full of coding agent cruft and ref

agentssimon-willison

From Bench-to-Bedside: A Review of Clinical Trials in Drug Discovery and Development

arXiv:2412.09378v4 Announce Type: replace-cross Abstract: Clinical trials bridge basic research and clinical application, serving as essential steps in drug development. This review examines clinical

safetyarxiv-cs-cl

good overview on the managed agents landscape by @Sam_Witteveen we've seen many major ai companies ship a managed agent product over the pas…

good overview on the managed agents landscape by @Sam_Witteveen we've seen many major ai companies ship a managed agent product over the past few months. this space will only continue to grow exponent

agentsharrison-chase--x

Live now: our Harness Engineering Track from AI Engineer World's Fair 2026. Ports, proofs, kill switches, and what is left of an agent when …

Live now: our Harness Engineering Track from AI Engineer World's Fair 2026. Ports, proofs, kill switches, and what is left of an agent when you remove the model. Thesis: when an agent breaks in produc

agentsswyx--x

Local Edits, Global Ripples: Replay-Informed Policy Adaptation for Workflow Synthesis

model-releasesarxiv-cs-cl

arXiv:2609.12127v1 Announce Type: new Abstract: Prompt-policy editing offers a practical way to improve agents that synthesize executable workflows without updating the underlying model. However, pers

Look Before You Leap: Pre-Action Verification for LLM Agents

model-releasesarxiv-cs-lg

arXiv:2609.11957v1 Announce Type: new Abstract: An LLM agent acts on the world by emitting actions: shell commands to run, edits to apply. A wrong action does not always fail loudly; it can fail silen

Quantifying the Value of Privileged Information Using a PAC-Bayesian Approach

arXiv:2609.12891v1 Announce Type: new Abstract: In practice, various learning scenarios provide access to auxiliary features exclusively during training. Incorporating such data to enhance model perfo

researcharxiv-cs-lg

Size Doesn't Matter: Material-State Reinforcement Learning for Excavator Transferable Soil Manipulation

arXiv:2609.12677v1 Announce Type: new Abstract: Earthmoving tasks such as excavation, backfilling, or embankment construction require deliberate repositioning of deformable soil. For these tasks, huma

safetyarxiv-cs-ro

The world deserves confidence that American companies developing increasingly capable AI will act responsibly, especially as the trajectory …

The world deserves confidence that American companies developing increasingly capable AI will act responsibly, especially as the trajectory of progress has steepened. Every frontier lab must deliver o

safetysam-altman--x

What does it mean to pace the frontier? Over the last month, @random_walker and I have analyzed the loss-of-control incidents at AI companie…

What does it mean to pace the frontier? Over the last month, @random_walker and I have analyzed the loss-of-control incidents at AI companies to understand what technical and policy interventions can

safetyyann-lecun--x

Where Decoder Cosine Similarity Fails for SAE Feature Flow Discovery

model-releasesarxiv-cs-lg

arXiv:2609.12591v1 Announce Type: new Abstract: Foundation models are increasingly adapted through fine-tuning, model editing, and alignment procedures while retaining previously acquired capabilities

Dear 24G owners, try VLLM you might be able to run Qwen3.8 27B INT4, 144K FP8 KV on RTX 3090 with better speed. (TLDR VLLM AOT)

VLLM Benchmark: Prefill, Prompt processing - avg, 871.93 tok/s (3 hours constant running xhigh) - 10K prompt, 1000.26 tok/s (16 runs) - 90K prompt, 743,59 tok/s (16 runs) Decode, tok gen - avg, 38.39

I cannot emphasize enough how much GPT-6 Astra and Fable 5.1 are already enough for transformative impact in large sections of the economy. …

I cannot emphasize enough how much GPT-6 Astra and Fable 5.1 are already enough for transformative impact in large sections of the economy. They can reliably do weeks worth of human work when properly

safetyethan-mollick--x

I end every AI session with two questions

One is from Sam Altman, the other Claude suggested and it works extremely well. The first question I ask: What are you least confident about right now. The AI will list like 6 to 7 things that it didn

model-releasesr-chatgpt

I have just moved from MacBook M5 pro 48 GB to RTX3090

Using the RTX3090 on a linux machine I built for it and running Qwen 3.8 27B getting average 100t/s compared to my MacBook 20t/s I think I can finally get rid of my Claude subscription, this is good e

if u don't want to use a fly brain to read a PDF, you could always check out an actual OCR solution like llamaparse https://cloud.llamaindex…

Jerry Liu suggested that users who don’t want to rely on a “fly brain” approach for reading PDFs could instead use an OCR solution called **llamaparse** hosted at *cloud.llamaindex.ai*. The tweet, pos

agentsjerry-liu--x

Migration from Claude Code to a private local harness. Questions.

I'll start by saying I'm not talking about the models themselves, I'm aware that I can't come close to something like Fable's intelligence locally. Just wanted to get that out of the way. Basically. O

My experience building 64GB VRAM AI SWE assistant/agent PC

As a SWE I have ultimate belief that having a irreplaceable subscription on OpenAI and Anthropic models is actually against my beliefs (I'm not fond of becoming a digital slave and being unable to do

This is all I will say on the matter: It’s alarming to see the constant effort to try to tell me how I should use AI, how I should build AI,…

This is all I will say on the matter: It’s alarming to see the constant effort to try to tell me how I should use AI, how I should build AI, and now how I should pace it. Is it just me, or are all the

safetydair-ai--x

try deepseek v4.1 flash now on together ai: https://www.together.ai/models/deepseek-v4-1-flash

model-releasestogether-ai--x

DeepSeek V4.1 Flash is now available on Together AI’s model hub (https://www.together.ai/models/deepseek-v4-1-flash). The release includes the DeepSeek V4.1 Flash API with updated pricing, performance

A machine-checked proof of the Dong-Yang classification of optimal (n,4) binary codes for BSCs

arXiv:2609.10579v1 Announce Type: cross Abstract: We present a machine-checked Lean~4 formalization of Dong and Yang's classification of optimal finite-length (n,4) binary block codes for binary symme

An Agentic Evaluation Framework for AI-Generated Scientific Code in PETSc

arXiv:2603.15976v2 Announce Type: replace Abstract: While LLMs have accelerated scientific code generation, comprehensively evaluating generated code remains challenging. Many benchmarks emphasize fun

An Open Recipe for IMO Gold: Training Nemotron for Olympiad Mathematics

arXiv:2609.10712v1 Announce Type: new Abstract: We study how model post-training and test-time inference design affect natural-language proof generation for hard olympiad mathematics. Starting from Ne

Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation

arXiv:2609.11115v1 Announce Type: new Abstract: Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find relevant evaluations, locate their benchmark data

Ceci n'est pas une pipe: AI systems as semantic abstractions

arXiv:2607.09489v2 Announce Type: replace Abstract: An AI system's output is not the fact or world state it appears to describe, but rather an engineered representation. We propose a semantic framewor

Generating a Consistent Enterprise: Synthesis and Reference-Free Evaluation of Multi-System Business Data

arXiv:2609.11286v1 Announce Type: new Abstract: Synthetic relational data is normally produced by a model trained on a real dataset, and its quality is measured as the distance to that dataset. This p