Search: “research”

LUMINA: Foundation Models for Topology Transferable ACOPF

arXiv:2603.04300v2 Announce Type: replace Abstract: Foundation models in general promise to accelerate scientific computation by learning reusable representations across problem instances, yet constra

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Lyria by @GoogleDeepMind is next level it did average Turkish pop song very well all my Turkish friends in the conference hall was summoned …

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Google DeepMind's Lyria is an advanced AI music generation model capable of producing high-quality audio — including vocals, lyrics, and instrumentals — across a wide range of genres and styles fro...

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10 Apr 2026

Matrix Profile for Anomaly Detection on Multidimensional Time Series

arXiv:2409.09298v2 Announce Type: replace-cross Abstract: The Matrix Profile (MP), a versatile tool for time series data mining, has been shown effective in time series anomaly detection (TSAD). This

MedRoute: RL-Based Dynamic Specialist Routing in Multi-Agent Medical Diagnosis

arXiv:2604.06180v1 Announce Type: cross Abstract: Medical diagnosis using Large Multimodal Models (LMMs) has gained increasing attention due to capability of these models in providing precise diagnose

agentsarxiv-cs-lg

MemReader: From Passive to Active Extraction for Long-Term Agent Memory

arXiv:2604.07877v1 Announce Type: new Abstract: Long-term memory is fundamental for personalized and autonomous agents, yet populating it remains a bottleneck. Existing systems treat memory extraction

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Applications

Mining Electronic Health Records to Investigate Effectiveness of Ensemble Deep Clustering

arXiv:2604.07085v1 Announce Type: new Abstract: In electronic health records (EHRs), clustering patients and distinguishing disease subtypes are key tasks to elucidate pathophysiology and aid clinical

applicationsarxiv-cs-lg

Mitigating Visual Context Degradation in Large Multimodal Models: A Training-Free Decoupled Agentic Framework

arXiv:2509.23322v2 Announce Type: replace Abstract: With the continuous expansion of Large Language Models (LLMs) and advances in reinforcement learning, LLMs have demonstrated exceptional reasoning c

MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models

arXiv:2412.20718v2 Announce Type: replace Abstract: The rapid integration of Large Vision-Language Models (LVLMs) into critical domains necessitates comprehensive moral evaluation to ensure their alig

MolmoWeb: Open Visual Web Agent and Open Data for the Open Web

arXiv:2604.08516v1 Announce Type: new Abstract: Web agents--autonomous systems that navigate and execute tasks on the web on behalf of users--have the potential to transform how people interact with t

agentsarxiv-cs-cv

Oldest octopus fossil found to not be an octopus

A 300-million-year-old fossil named *Pohlsepia mazonensis*, originally identified as the world's oldest octopus in 2000, has been reclassified in 2026 as a nautiloid — a relative of the modern naut...

industryars-technica

ORACLE-SWE: Quantifying the Contribution of Oracle Information Signals on SWE Agents

arXiv:2604.07789v1 Announce Type: cross Abstract: Recent advances in language model (LM) agents have significantly improved automated software engineering (SWE). Prior work has proposed various agenti

agentsarxiv-cs-cl

ParkSense: Where Should a Delivery Driver Park? Leveraging Idle AV Compute and Vision-Language Models

arXiv:2604.07912v1 Announce Type: new Abstract: Finding parking consumes a disproportionate share of food delivery time, yet no system addresses precise parking-spot selection relative to merchant ent

agentsarxiv-cs-cv

Personalizing Text-to-Image Generation to Individual Taste

arXiv:2604.07427v1 Announce Type: new Abstract: Modern text-to-image (T2I) models generate high-fidelity visuals but remain indifferent to individual user preferences. While existing reward models opt

safetyarxiv-cs-cv

PhyAVBench: A Challenging Audio Physics-Sensitivity Benchmark for Physically Grounded Text-to-Audio-Video Generation

arXiv:2512.23994v3 Announce Type: replace-cross Abstract: Text-to-audio-video (T2AV) generation is central to applications such as filmmaking and world modeling. However, current models often fail to

PIKA: Expert-Level Synthetic Datasets for Post-Training Alignment from Scratch

arXiv:2510.06670v2 Announce Type: replace Abstract: High-quality instruction data is critical for LLM alignment, yet existing open-source datasets often lack efficiency, requiring hundreds of thousand

Pistachio: Towards Synthetic, Balanced, and Long-Form Video Anomaly Benchmarks

arXiv:2511.19474v4 Announce Type: replace-cross Abstract: Automatically detecting abnormal events in videos is crucial for modern autonomous systems, yet existing Video Anomaly Detection (VAD) benchma

Prompt reinforcing for long-term planning of large language models

arXiv:2510.05921v2 Announce Type: replace Abstract: Large language models (LLMs) have achieved remarkable success in a wide range of natural language processing tasks and can be adapted through prompt

Quantitative Estimation of Target Task Performance from Unsupervised Pretext Task in Semi/Self-Supervised Learning

arXiv:2508.07299v2 Announce Type: replace-cross Abstract: The effectiveness of unlabeled data in Semi/Self-Supervised Learning (SSL) depends on appropriate assumptions for specific scenarios, thereby

SceneScribe-1M: A Large-Scale Video Dataset with Comprehensive Geometric and Semantic Annotations

arXiv:2604.07990v1 Announce Type: new Abstract: The convergence of 3D geometric perception and video synthesis has created an unprecedented demand for large-scale video data that is rich in both seman

sciwrite-lint: Verification Infrastructure for the Age of Science Vibe-Writing

arXiv:2604.08501v1 Announce Type: cross Abstract: Science currently offers two options for quality assurance, both inadequate. Journal gatekeeping claims to verify both integrity and contribution, but

SearchAD: Large-Scale Rare Image Retrieval Dataset for Autonomous Driving

arXiv:2604.08008v1 Announce Type: new Abstract: Retrieving rare and safety-critical driving scenarios from large-scale datasets is essential for building robust autonomous driving (AD) systems. As dat

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See where you can catch us next: https://www.together.ai/events

Together AI maintains a public events page at [together.ai/events](https://www.together.ai/events) listing its past and upcoming appearances, spanning major industry conferences such as NVIDIA GTC,...

toolstogether-ai--x

Local Ai

Should we be optimizing for limited compute instead of more parameters? Thoughts?

"The search did not return the specific Reddit thread. However, I can provide a summary based on what the topic is broadly about within the local-AI/Ollama community context:

local-air-ollama

Applications

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

Tutorials

Steering the Verifiability of Multimodal AI Hallucinations

arXiv:2604.06714v1 Announce Type: new Abstract: AI applications driven by multimodal large language models (MLLMs) are prone to hallucinations and pose considerable risks to human users. Crucially, su

tutorialsarxiv-cs-ai

Tabular GANs for uneven distribution

arXiv:2010.00638v2 Announce Type: replace-cross Abstract: Generative models for tabular data have evolved rapidly beyond Generative Adversarial Networks (GANs). While GANs pioneered synthetic tabular

Tutorials

TEC: A Collection of Human Trial-and-error Trajectories for Problem Solving

arXiv:2604.06734v2 Announce Type: replace Abstract: Trial-and-error is a fundamental strategy for humans to solve complex problems and a necessary capability for Artificial Intelligence (AI) systems o

tutorialsarxiv-cs-cl

The Art of Building Verifiers for Computer Use Agents

arXiv:2604.06240v1 Announce Type: cross Abstract: Verifying the success of computer use agent (CUA) trajectories is a critical challenge: without reliable verification, neither evaluation nor training

agentsarxiv-cs-ai

The ATOM Report: Measuring the Open Language Model Ecosystem

arXiv:2604.07190v1 Announce Type: cross Abstract: We present a comprehensive adoption snapshot of the leading open language models and who is building them, focusing on the ~1.5K mainline open models

To dive into building AI agents and your own second brain, join cohort 2 of the AI Agent Mastermind: https://joinaiagentmastermind.com/

The AI Agent Mastermind is a four-week, live cohort program created by Allie K. Miller — a TIME 100 Most Influential People in AI honoree and the most followed voice in AI business, with nearly 2 ...

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Tool-MCoT: Tool Augmented Multimodal Chain-of-Thought for Content Safety Moderation

arXiv:2604.06205v1 Announce Type: cross Abstract: The growth of online platforms and user content requires strong content moderation systems that can handle complex inputs from various media types. Wh

safetyarxiv-cs-ai

Toward Memory-Aided World Models: Benchmarking via Spatial Consistency

arXiv:2505.22976v2 Announce Type: replace-cross Abstract: The ability to simulate the world in a spatially consistent manner is a crucial requirements for effective world models. Such a model enables

Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces

arXiv:2604.08362v1 Announce Type: new Abstract: The emergence of Large Language Models (LLMs) has illuminated the potential for a general-purpose user simulator. However, existing benchmarks remain co

Tutorials

Transforming the Voice of the Customer: Large Language Models for Identifying Customer Needs

arXiv:2503.01870v2 Announce Type: replace Abstract: Identifying customer needs (CNs) is fundamental to product innovation and marketing strategy. Yet for over thirty years, Voice-of-the-Customer (VOC)

tutorialsarxiv-cs-cl

Applications

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment

arXiv:2604.08212v1 Announce Type: new Abstract: General-purpose vision-language models demonstrate strong performance in everyday domains but struggle with specialized technical fields requiring preci

applicationsarxiv-cs-cv

Vision-Language Navigation for Aerial Robots: Towards the Era of Large Language Models

model-releasesarxiv-cs-ro

arXiv:2604.07705v1 Announce Type: new Abstract: Aerial vision-and-language navigation (Aerial VLN) aims to enable unmanned aerial vehicles (UAVs) to interpret natural language instructions and autonom

Local Ai

Watching @awnihannun at @ollama

I was unable to retrieve the specific content from the X (Twitter) URL provided (`https://x.com/twid/status/2042425382859841926`), as it is a social media post that requires authentication to acces...

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We had Lin on stage: 'the future is millions of models — one per application, one per use case.' Jet delivered a masterclass on reinforcemen…

We had Lin on stage: 'the future is millions of models — one per application, one per use case.' Jet delivered a masterclass on reinforcement fine-tuning. Rob joined @WorkOS for some hot takes on the

toolsfireworks-ai--x

When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection

arXiv:2510.12476v2 Announce Type: replace Abstract: Large language models (LLMs) have grown more powerful in language generation, producing fluent text and even imitating personal style. Yet, this abi

Another banger paper from Microsoft. Why it's a big deal: It teaches reasoning models to compress their own chain-of-thought mid-generation.…

Another banger paper from Microsoft. Why it's a big deal: It teaches reasoning models to compress their own chain-of-thought mid-generation. The most interesting finding isn't the 2-3x memory savings

agentsdair-ai--x

Anthropic built a model too risky to release

Anthropic's new frontier model, Claude Mythos, is the first model the company has publicly deemed too high-risk for general release , due to its advanced cybersecurity capabilities — including the ...

industryben-s-bites

Appknox launches KnoxIQ to prioritize real-world exploitability in AI-driven application security

model-releasessiliconangle

Mobile app security solutions provider Appknox today announced the launch of KnoxIQ, an artificial intelligence-native vulnerability assessment capability that introduces a new prioritization and reme

dude is on some generational run. highly recommend reading this anyone into harness design and sourcing evals. and viv is genius in making s…

The referenced tweet (from @himanshustwts) is not publicly accessible without a login, so its exact content cannot be retrieved. However, based on contextual search results, this post appears to be...

industrysonya-huang--x

Here is my free workshop on building multi-agent systems, I presented at the @aiDotEngineer London conference together with @Whats_AI. It ha…

Here is my free workshop on building multi-agent systems, I presented at the @aiDotEngineer London conference together with @Whats_AI. It has code, slides and soon a 2-hour video diving deep into how

model-releasesswyx--x

I just gave a workshop at @aiDotEngineer in London on building real multi-agent systems. The best part was hearing people laugh, interrupt u…

I just gave a workshop at @aiDotEngineer in London on building real multi-agent systems. The best part was hearing people laugh, interrupt us with questions.. You could feel they were following, think

model-releasesswyx--x

If you want an example of what this looks like in practice, check out the '/research-docs' skill I created for Claude Code https://x.com/jer…

model-releasesjerry-liu--x

If you want an example of what this looks like in practice, check out the '/research-docs' skill I created for Claude Code https://x.com/jerryjliu0/status/2041564207750246904?s=20 I built a Claude Cod

Is ChatGPT really as bad for the environment as people say?

The environmental impact of individual ChatGPT use is widely considered overstated: Epoch AI estimated a typical ChatGPT query uses just 0.3 Wh of electricity — ten times less than older 2023 esti...

industryr-chatgpt

Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I thin…

model-releaseskarpathy--x

Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere l