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.
This paper compares softmax attention with four recurrent linear-attention architectures to analyze their mechanisms and trade-offs for long-context processing.
Omni-Sleep is a new foundation model designed to analyze sleep physiology by modeling the coordinated dynamics of the central and autonomic nervous systems.
The paper introduces TAG, a lightweight framework designed to improve the reliability of LLM-generated structured artifacts through rigorous, test-driven validation.
The ABot-C0 technical report details a new framework for quadrupedal robot control designed to overcome the scarcity of animal motion-capture data.
The Echoes dataset provides over 130 hours of audio across multiple genres to benchmark and train robust music deepfake detection systems.
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.
Researchers have found that persuasion-based jailbreak attacks can undermine the effectiveness of chain-of-thought monitoring in detecting misaligned AI behavior.
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.
This position paper argues that current retrieval-augmented generation systems are overly focused on factual grounding and fail to adequately represent diverse opinions.
VocaDet is a new open-vocabulary object detection and segmentation framework that scales to large object categories using visual tokenization and vector database retrieval.
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.
GitLake introduces a version-control system for data lakehouses that allows autonomous AI agents to work on isolated branches before merging changes.
KeyBanc Capital Markets downgraded Apple's stock rating to underweight, citing concerns over demand and high valuation relative to historical averages.
Driven by the massive energy demands of artificial intelligence, China's private nuclear fusion sector is accelerating development toward a 2030 power generation goal.
An analysis suggests Nvidia faces intense competition and market pressures as a direct result of popularizing the high-value AI compute market.
The study demonstrates how frontier AI models can be used to reason through reaction networks and generate experimentally validated hypotheses for catalyst selectivity.
A new study proposes a decision-level metric called correctness agreement to better capture the behavioral changes in large language models caused by post-training quantization.
This paper provides a comprehensive survey of methods, datasets, and benchmarks for multimodal machine unlearning across various data modalities.
DreamCharacter-1 is a post-adaptation framework designed to refine pretrained 3D foundation models for high-fidelity, production-ready character generation.
Researchers introduced KVpop, a method that compresses key-value caches in autoregressive decoding by learning a fixed-budget eviction policy through direct supervision.
This study provides a theoretical characterization of the mechanisms behind delayed generalization, or grokking, in neural networks using a stochastic-geometric framework.
Researchers evaluated the effectiveness of distilling structured text extraction capabilities from an 8-billion parameter reasoning model into a sub-1-billion parameter on-device model.
This paper provides a mathematical formulation of slow thinking and active perception to guide the design and training of reasoning-focused language models.