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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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GitLake: Git-for-data for the agentic lakehouse
GitLake introduces a version-control system for data lakehouses that allows autonomous AI agents to work on isolated branches before merging changes.
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苹果股票获得罕见的看跌评级，KeyBanc表示需求和估值令人担心
KeyBanc Capital Markets downgraded Apple's stock rating to underweight, citing concerns over demand and high valuation relative to historical averages.
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Chasing the 2030 Power Generation Target: China's Artificial Sun Race Heats Up
Driven by the massive energy demands of artificial intelligence, China's private nuclear fusion sector is accelerating development toward a 2030 power generation goal.
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Reaction-network reasoning with frontier models for experimentally confirmed catalyst-selectivity hypotheses
The study demonstrates how frontier AI models can be used to reason through reaction networks and generate experimentally validated hypotheses for catalyst selectivity.