Search: “models”

arXiv:2602.00924v2 Announce Type: replace Abstract: Sparse auto-encoders (SAEs) have re-emerged as a prominent method for mechanistic interpretability, yet they face two significant challenges: the no

arXiv:2605.07980v1 Announce Type: new Abstract: These notes introduce the theory of susceptibilities as developed in [arXiv:2504.18274, arXiv:2601.12703] for interpreting neural networks. The suscepti

arXiv:2601.02602v2 Announce Type: replace-cross Abstract: We present SWaRL, a robust and fidelity-preserving watermarking framework designed to protect the intellectual property of code LLMs by embedd

arXiv:2605.07354v1 Announce Type: cross Abstract: The expanding application of smart sensing has created a growing demand for the accurate understanding of human action at the network edge. Traditiona

arXiv:2605.07513v1 Announce Type: new Abstract: We study Flow Matching in a semi-discrete setting where a Gaussian source is transported toward a discrete target supported on finitely many points. Thi

arXiv:2605.07717v1 Announce Type: cross Abstract: Despite the widespread adoption of agile methods, achieving true agility at scale remains elusive. Large-scale agile frameworks remain largely human-c

arXiv:2602.13298v3 Announce Type: replace-cross Abstract: This paper investigates the relationship between convolutional neural network (CNN) topology and image recognition performance through a compa

arXiv:2605.07049v1 Announce Type: cross Abstract: We present the first theoretical guarantees for differentially private online reinforcement learning (RL) with general function approximation, extendi

arXiv:2605.06891v1 Announce Type: new Abstract: Labeled datasets reflect the biases of their annotation pipelines, which sometimes introduce label bias: group-conditional label errors that cause syste

arXiv:2605.07232v1 Announce Type: new Abstract: Recent advances in generative AI have democratized video creation at scale. AI-generated videos, including partially manipulated clips across visual and

arXiv:2605.07429v1 Announce Type: new Abstract: Existing mobile devices are constrained by compact optical designs, such as small apertures, which make it difficult to produce natural, optically reali

arXiv:2605.07412v1 Announce Type: cross Abstract: Although Global Navigation Satellite Systems (GNSS) provide a general solution for bike tracking outdoors, there still exist complex riding environmen

arXiv:2605.06889v1 Announce Type: new Abstract: Pairwise translation directions are a key input to camera location estimation in global structure-from-motion. Existing estimators usually process each

Tripo 3.1 is now supported in ComfyUI via Partner Nodes. Generate high-detail 3D assets directly in your existing ComfyUI workflows, with denser geometry and cleaner surfaces for close-up production.

arXiv:2410.21438v3 Announce Type: replace Abstract: By pretraining on trillions of tokens, an LLM gains the capability of text generation. However, to enhance its utility and reduce potential harm, SF

arXiv:2408.15339v4 Announce Type: replace-cross Abstract: RL alignment methods, including RLHF and DPO, are primarily based on pairwise preference data. Although scalar or score-based feedback has bee

arXiv:2605.07987v1 Announce Type: cross Abstract: Atlas-based approaches allow high-quality, patient-specific shape reconstructions of cardiac anatomy from sparse and/or noisy data such as point cloud

arXiv:2605.07048v1 Announce Type: cross Abstract: De novo molecular generation from tandem mass spectra is a challenging inverse problem whose core difficulty lies in the circular dependency between a

arXiv:2605.07292v1 Announce Type: new Abstract: We prove that aerodynamic co-contraction in a redundant dual-rotor actuator can tune a passive, trim-defined aero-mechanical damping while keeping the c

arXiv:2603.05539v2 Announce Type: replace-cross Abstract: We introduce VDCook: a self-evolving video data operating system, a configurable video data construction platform for researchers and vertical

arXiv:2506.21582v5 Announce Type: replace-cross Abstract: Text analytics has traditionally required specialized knowledge in Natural Language Processing (NLP) or text analysis, which presents a barrie

arXiv:2605.06094v2 Announce Type: replace-cross Abstract: Training VideoLLMs for complex reasoning remains challenging due to sparse sequence level rewards and the lack of fine grained credit assignme

arXiv:2605.07367v1 Announce Type: cross Abstract: Cameras and LiDAR degrade in rain, fog, and snow, while millimeter-wave radar remains largely unaffected. We align a radar encoder to frozen SigLIP vi

arXiv:2605.07120v1 Announce Type: new Abstract: Template tasks have emerged as a clean testbed for asking whether transformers reason with abstract symbols rather than concrete token names. We study t

arXiv:2605.05866v1 Announce Type: cross Abstract: Multiphase powder X-ray diffraction (PXRD) analysis remains a fundamental bottleneck in structure identification, as real-world synthesis often produc

arXiv:2605.06927v1 Announce Type: cross Abstract: Object detection on heterogeneous edge devices must satisfy strict energy, latency, and memory constraints while still providing reliable perception f

arXiv:2605.07378v1 Announce Type: new Abstract: Zero-shot proxies, also known as training-free metrics, are widely adopted to reduce the computational overhead in neural network evaluation for scenari

Release b9094 is a commit/version of llama.cpp, the main playground for developing features for the GGML library. llama.cpp enables LLM inference in C/C++ , providing efficient tools for running large

b9095 is a release of llama.cpp, a project focused on LLM inference in C/C++ . This release likely includes updates, bug fixes, or feature improvements to the llama.cpp codebase, which enables efficie

Docs from @NousResearch on how to set up Pareto Code in Hermes: https://hermes-agent.nousresearch.com/docs/user-guide/configuration#openrouter-routing--pareto-code-for-auxiliary-tasks Introducing Pare

The market is trying to price a transition it hasn’t fully internalized. It sees Nvidia Corp.’s market cap with a five-handle and assumes the valuation is too high to grow further. We believe that’s t

> shipped the agent > opened the dashboard > latency: fine > error rate: fine > users: unhappy > checked the responses > technically correct > wrong tool called 3 steps earlier > no trace to follow >

This is a Reddit discussion from r/LocalLLaMA where a user seeks recommendations for settings and plugins after switching from OpenCode to Pi, likely asking the community for guidance on optimizing th

The search results don't contain specific information about release b9087. Based on the context, b9087 is a release from llama.cpp, a C/C++ implementation for LLM inference . This release likely conta

Heather Somerville / Wall Street Journal: Execs at Palantir, whose stock is up ~16x since its AI platform's 2023 debut, often decry other AI as slop, as competition from frontier AI labs stiffens — In

Sam Altman posted about starting multiple Codex tasks, spending time outdoors with his child, and returning after naptime to find all the tasks had been completed, suggesting automated or background t

Moneycontrol: OpenAI, Anthropic, and Google's enterprise push with PE firms poses a new competitive threat to India's IT industry, as services become increasingly automatable — On Wall Street, the ann

Nous Research announced or shared information about their Hermes Agent project via OpenRouter, likely detailing capabilities, updates, or technical specifications for their AI agent system. OpenRouter

Sam Rubin / Palo Alto Networks Blog: Palo Alto Networks says in its testing, three weeks of frontier AI-assisted analysis matched a full year of manual penetration testing, with broader coverage — For

I'd like to search for information about this specific Reddit post to provide you with an accurate summary based on actual content rather than assumptions. SenseNova-U1 is SenseTime's unified multimod

Signals V2 is an LLM-free analyzer tool that evaluates live agent execution trajectories by scoring them as OpenTelemetry spans, enabling developers to monitor and trace AI agent behavior without rely

Tesla AI Vision Every one of these dots is an actual crash from the fleet. Real world speeds, collisions, and people. Not just the regulatory test cases. The richness of this data is what enabled the

The search results don't contain specific information about v0.30.0-rc10. Based on the version number and Ollama's release pattern, here is a summary: v0.30.0-rc10 is a release candidate version of Ol

b9073 is a release of llama.cpp, a C/C++ implementation for LLM inference . The release likely contains bug fixes, performance improvements, or new features for the llama.cpp project, which provides o

B9077 is a release of llama.cpp, a C/C++ library for LLM inference. The llama.cpp project follows a rapid release cycle with multiple releases published in a single day. This build version represents

Microsoft Research is excited to release an open dataset of approximate transmission topology of the U.S. power grid derived from publicly available data. The ability to study transmission-level power