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22
ResearcharXiv cs.AI·3d agoPrimary

EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data

Researchers investigate whether training policies to predict both actions and environmental changes using World Action Models improves robot manipulation learning from egocentric human videos.

Read at arxiv.org ↗
22
ResearcharXiv cs.AI·3d agoPrimary

Peer-Predictive Self-Training for Language Model Reasoning

Peer-Predictive Self-Training is a collaborative, label-free fine-tuning framework where multiple language models use aggregated responses to mutually improve their reasoning capabilities.

Read at arxiv.org ↗
22
ProductAWS ML Blog·4d ago

Introducing Claude apps gateway for AWS

AWS has launched the Claude apps gateway, a self-hosted control plane allowing organizations to manage access, costs, and policies for Claude Code and Claude Desktop.

Read at aws.amazon.com ↗
21
ProductNVIDIA Blog·4d ago

NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness

NVIDIA announced that its Nemotron 3 Ultra model achieved high accuracy and throughput on agent tasks when optimized with LangChain's Deep Agents harness.

Read at blogs.nvidia.com ↗
21
ResearcharXiv cs.AI·3d agoPrimary

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE

Jet-Long introduces a dynamic bifocal rotary position embedding method to efficiently extend the context window of large language models in a zero-shot manner.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

Overthinking: Amplifying Reasoning Weights to Extract Learned Secrets

A new auditing technique called overthinking uses task vectors to amplify a model's reasoning process, helping to expose hidden information or misaligned behaviors.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

Towards Isolated Interventions via Almost Orthogonal Features in Language Models

This paper addresses feature entanglement in language models by proposing a method to encourage almost orthogonal features, enabling more precise and isolated mechanistic interventions.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

The Power of Power Law: Asymmetry Enables Compositional Reasoning

A new study reveals that training models on data following a power-law distribution, rather than a curated uniform distribution, actually improves their ability to perform compositional reasoning tasks.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

Simulator Ensembles for Trustworthy Autonomous Driving Systems Testing

The paper presents MultiSim, an ensemble approach that utilizes multiple driving simulators to identify and mitigate testing discrepancies in automated driving assistance systems.

Read at arxiv.org ↗
21
FundingTechNode·3d ago

CXMT sets July 16 subscription date for STAR Market IPO

Chinese memory chip manufacturer ChangXin Memory Technologies has initiated its STAR Market IPO process to raise 29.5 billion RMB.

Read at technode.com ↗
21
InfrastructureData Center Dynamics·2d ago

Meeza completes data center expansion project for major hyperscaler

Qatari IT service provider Meeza has completed a data center expansion project for an unnamed major hyperscale cloud provider ahead of schedule.

Read at datacenterdynamics.com ↗
21
ResearchArs Technica AI·5d ago

Hackers can use 9 of the most popular AI tools to assemble massive botnets

Researchers have demonstrated that hackers can exploit security vulnerabilities in popular large language models to construct large-scale botnets through a technique called HalluSquatting.

Read at arstechnica.com ↗
21
FundingSCMP Tech·5d ago

Alibaba shares spike 12% in Hong Kong as T-Head chips, AI revenue fuel earnings optimism

Alibaba's stock price rose significantly in Hong Kong following optimistic analyst projections for revenue growth driven by rising demand for artificial intelligence and its proprietary T-Head chips.

Read at scmp.com ↗
21
ResearcharXiv cs.AI·3d agoPrimary

Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing

This paper compares softmax attention with four recurrent linear-attention architectures to analyze their mechanisms and trade-offs for long-context processing.

Read at arxiv.org ↗
21
Model ReleasearXiv cs.AI·3d agoPrimary

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS--ANS Dynamic

Omni-Sleep is a new foundation model designed to analyze sleep physiology by modeling the coordinated dynamics of the central and autonomic nervous systems.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

Persuasion Attacks Can Decrease Effectiveness of CoT Monitoring

Researchers have found that persuasion-based jailbreak attacks can undermine the effectiveness of chain-of-thought monitoring in detecting misaligned AI behavior.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

TAG: A Lightweight Framework for Test-Driven Agentic Artifact Generation

The paper introduces TAG, a lightweight framework designed to improve the reliability of LLM-generated structured artifacts through rigorous, test-driven validation.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

V-VLAPS: Value-Guided Planning for Vision-Language-Action Models

The V-VLAPS framework integrates value-guided planning with vision-language-action models to improve robotic manipulation performance under distribution shifts and long-horizon tasks.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

Researchers have introduced ParamMute, a method that improves the faithfulness of retrieval-augmented generation by suppressing knowledge-critical feed-forward networks that cause models to ignore retrieved context.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

Echoes: A semantically-aligned music deepfake detection dataset

The Echoes dataset provides over 130 hours of audio across multiple genres to benchmark and train robust music deepfake detection systems.

Read at arxiv.org ↗
21
OpinionarXiv cs.AI·3d agoPrimary

Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions

This position paper argues that current retrieval-augmented generation systems are overly focused on factual grounding and fail to adequately represent diverse opinions.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report

The ABot-C0 technical report details a new framework for quadrupedal robot control designed to overcome the scarcity of animal motion-capture data.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

VocaDet: Sample-Driven Open-Vocabulary Object Detection and Segmentation via Visual Tokenization and Vector Database Retrieval

VocaDet is a new open-vocabulary object detection and segmentation framework that scales to large object categories using visual tokenization and vector database retrieval.

Read at arxiv.org ↗
21
ResearcharXiv cs.AI·3d agoPrimary

TRACE: A Two-Channel Robust Attribution Watermark via Complementary Embeddings for LLM-Agent Trajectories

Researchers developed TRACE, a robust watermarking method designed to protect and verify the attribution of LLM agent trajectory logs against unauthorized rebranding or model substitution.

Read at arxiv.org ↗
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