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HumanDGX agent

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Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

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127,664Total entries
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model releases

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36,904 results
1 Oct 2026

Qwen Flash Next MTP work restarted

Model ReleasesDGX agent

If you're using MTP with Qwen Flash Next and llama.cpp, you can switch to: quants: https://huggingface.co/ggml-org/Qwen3.8-Flash-Next-GGUF PR: https://github.com/ggml-org/llama.cpp/pull/29761 Please n

Qwen3.8-27B Q4_K_M on one RTX 3090 + OpenCode: throughput, four coding tasks, and a reasoning-budget failure

Model ReleasesDGX agent

I put an old RTX 3090 to work as a local coding agent with Qwen3.8-27B, llama.cpp, and OpenCode. Here are the setup and results, including what failed. This is a summary of my own blog post, linked be

Qwen4Exp: add MTP by am17an · Pull Request #29761 · ggml-org/llama.cpp

Model ReleasesDGX agent

now you can use MTP with Qwen Flash Next, time to switch from Qwen 3.8 27B? (merged after 17h of development) quants: https://huggingface.co/ggml-org/Qwen3.8-Flash-Next-GGUF link to the previous discu

Human
DGX agent

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RAIM: Robust Aggregation of Inexpensive Models for Hallucination Detection

Model ReleasesDGX agent

arXiv:2609.39229v1 Announce Type: cross Abstract: Automatic evaluation of faithfulness increasingly relies on a large language model acting as a judge, yet the most reliable judges are proprietary fro

RainAtlas: A Multi-Continental Dataset for Precipitation Downscaling

Model ReleasesDGX agent

arXiv:2609.39833v1 Announce Type: new Abstract: Extreme rainfall events are increasing in intensity and frequency as climate change accelerates. While kilometer-scale precipitation forecasts are criti

Rank-Constrained Adaptation for Reliable Real-World Performance

Model ReleasesDGX agent

arXiv:2602.06924v3 Announce Type: replace Abstract: Deep learning models trained to optimize average accuracy often exhibit systematic failures on particular subpopulations. In real-world settings lik

RankEvolve: A Reliable Multi-Agent Auto-Research Harness for Evolving Ranking Models

Model ReleasesDGX agent

arXiv:2609.39551v1 Announce Type: new Abstract: Auto-research agents, LLM systems that propose, implement, train, and evaluate model changes across iterations, promise to automate applied ML's experim

Re-ranking and Late Interaction Drive Retrieval Quality: A Controlled Comparison of RAG Strategies for Scientific Question Answering

Model ReleasesDGX agent

arXiv:2609.38473v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) is now the standard way to ground Large Language Models (LLMs) in external knowledge, yet the design space of ret

Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts

Model ReleasesDGX agent

arXiv:2609.39365v1 Announce Type: cross Abstract: Continual alignment requires LLMs to adapt to new requirements without forgetting previously acquired behaviors. Natural-language instructions are fle

RealWorldShop: Benchmarking and Improving Conversational Shopping Agents in Real-World E-commerce

Model ReleasesDGX agent

arXiv:2609.38974v1 Announce Type: new Abstract: Large language models are reshaping ecommerce from static recommenders into interactive shopping assistants, yet real-world shopping requires session-le

Referential Uncertainty in Human--AI Collaboration

Model ReleasesDGX agent

arXiv:2609.39518v1 Announce Type: new Abstract: Effective human-AI collaboration requires partners to establish references through interaction, which becomes fragile when descriptions are ambiguous, s

Remote work is so cooked If your job can be done on the other side of a screen the AI can do it better

Model ReleasesDGX agent

Remote work is so cooked If your job can be done on the other side of a screen the AI can do it better Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to i

Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text

Model ReleasesDGX agent

arXiv:2609.40359v1 Announce Type: new Abstract: We find that major reported improvements in decoding words from non-invasive brain recordings are largely reproducible without any brain data. In the in

Representation Risk in Pretrained Image Encoders

Model ReleasesDGX agent

arXiv:2609.35470v1 Announce Type: cross Abstract: Applied researchers increasingly convert images into features with pretrained encoders, then use those features in a downstream prediction model. The

ResARC: Residual-Aware AutoRegressive Coding for Ultra-Low Bitrate Image Compression

Model ReleasesDGX agent

arXiv:2609.39451v1 Announce Type: new Abstract: Progressive autoregressive image codecs provide an appealing paradigm for generative compression by quantizing continuous latents into discrete tokens,

ResidualKV: Residual-Based KV Cache Compression for Efficient Long-Context Inference

Model ReleasesDGX agent

arXiv:2602.08005v2 Announce Type: replace-cross Abstract: Efficient long-context inference faces two coupled bottlenecks: KV-cache memory grows linearly with context length, while attention computatio

Restoring without Forgetting: Filter-Level Continual Image Restoration via Parameter-Space Integrated Gradients

Model ReleasesDGX agent

arXiv:2609.38591v1 Announce Type: new Abstract: Adapting image restoration models to a stream of new tasks without revisiting past data remains challenging due to catastrophic forgetting. In this work

Rethinking Generative Image Compression at Extremely Low Bitrates

Model ReleasesDGX agent

arXiv:2609.39315v1 Announce Type: new Abstract: Generative image compression produces visually plausible reconstructions at low bitrates, yet their behavior as the rate approaches zero remains largely

Rethinking Multi-Image Re-Representation in Multi-Image Understanding

Model ReleasesDGX agent

arXiv:2609.39363v1 Announce Type: cross Abstract: Multi-image understanding requires MLLMs not only to recognise the content of individual images, but also to organise visual evidence distributed acro

RiboUnmix: Learning Shared Translational Dynamics from Biased and Noisy Ribo-seq Measurements

Model ReleasesDGX agent

arXiv:2609.39644v1 Announce Type: new Abstract: Ribosome profiling (Ribo-seq) measures ribosome distributions along mRNAs, but observed occupancy profiles also contain experiment-specific distortions

Riemannian Flow Models with Reinforcement Learning for Molecular Crystal Structure Prediction

Model ReleasesDGX agent

arXiv:2609.39773v1 Announce Type: new Abstract: Crystal structure governs material properties, making crystal structure prediction (CSP) a fundamental problem in materials science. Generative models a

Right Answer, Wrong Mechanism: Detecting Pernicious Divergence in Causal Interventions

Model ReleasesDGX agent

arXiv:2609.39243v1 Announce Type: new Abstract: Causal interventions such as activation patching and distributed alignment search (DAS) are the main tool for making mechanistic claims about neural net

Right Answers, Costly Models: The Efficiency Gap in LLM-based Optimization Modeling

Model ReleasesDGX agent

arXiv:2609.38884v1 Announce Type: cross Abstract: Optimization modeling formulates real-world decision problems as mathematical programs that solvers can use to find optimal decisions. Large language

Robust and Learned Online Matching in Growing Trees

Model ReleasesDGX agent

arXiv:2609.40077v1 Announce Type: cross Abstract: We study irrevocable maximum-cardinality matching in trees revealed by successive leaf attachments, with a known horizon and an exogenous growth law t

Role-guided Speaker Deletion Verification in Clinical Psychiatry Speech Recordings with Audio Language Models

Model ReleasesDGX agent

arXiv:2609.38491v1 Announce Type: new Abstract: Clinical research in psychiatry increasingly relies on large scale collection of spoken language data to identify acoustic and linguistic biomarkers. Ye

RoPE at the End of Its Rope? Theory, Diagnosis, and Mitigation of Long-Context Failures

Model ReleasesDGX agent

arXiv:2609.39929v1 Announce Type: cross Abstract: Long-context failures of RoPE-based language models can arise from RoPE's intrinsic tradeoff between maintaining stable token preferences and distingu

RSI-Master: Structuring Experiments to Guide Autonomous Model Improvement

Model ReleasesDGX agent

arXiv:2609.35561v2 Announce Type: replace Abstract: Recursive self-improvement (RSI) seeks to enable AI systems to participate in improving their own capabilities. A concrete pathway is autonomous mod

RSIGame: Autonomous Agentic Game Development with Recursive Self-improvement

Model ReleasesDGX agent

arXiv:2609.39045v1 Announce Type: new Abstract: Recent advances in large language models have made automatic game generation increasingly feasible, yet reliably improving generated games beyond a play

Scaling Laws for Looped Mixture of Experts

Model ReleasesDGX agent

arXiv:2609.40316v1 Announce Type: cross Abstract: Looped transformers and Mixture-of-Experts (MoE) offer complementary routes to efficient scaling: recurrence increases computational depth at fixed pa

Scaling Parameter and Context in Attention: Native Sparse Attention from Mixture-of-Head

Model ReleasesDGX agent

arXiv:2609.38832v1 Announce Type: new Abstract: Scaling attention parameters can improve language model quality, but retaining full token histories makes additional heads costly at long contexts. Furt

SceneJail: Exploiting Video Scenario Context to Jailbreak Multimodal LLMs

Model ReleasesDGX agent

arXiv:2609.38899v1 Announce Type: cross Abstract: Video Multimodal Large Language Models (Video-MLLMs) support reasoning over video inputs, yet remain vulnerable to jailbreak attacks that elicit polic

Scoring Higher, Answering Worse: Mitigating Reward Hacking in Rubric-Based RL via Protocol-Level Rubrics

Model ReleasesDGX agent

arXiv:2609.38847v1 Announce Type: cross Abstract: Rubric-based reinforcement learning (Rubric-RL) trains language models where no verifier exists. A judge checks each criterion of a rubric, and the ve

SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents

Model ReleasesDGX agent

arXiv:2609.35596v2 Announce Type: replace-cross Abstract: Self-evolving LLM agents have gained prominence for their ability to improve after deployment by modifying their harness, including their cont

SEAR: Spoofing Evidence-Grounded Audio Reasoning Benchmark for Audio Language Models

Model ReleasesDGX agent

arXiv:2609.39847v1 Announce Type: cross Abstract: Audio language models (ALMs) are increasingly used for audio deepfake detection (ADD), yet existing benchmarks assess their verdicts or rationale plau

Search Shapes Conclusions: Auditing Evidence Selection Bias in Deep Research Agents

Model ReleasesDGX agent

arXiv:2609.39026v1 Announce Type: new Abstract: Deep Research agents synthesize evidence into cited reports, yet a well-cited report can still reach a misleading conclusion. Citation correctness check

Searching for BSM Experimental Signatures with Large Lagrangian Models

Model ReleasesDGX agent

arXiv:2609.38309v1 Announce Type: cross Abstract: The search for physics Beyond the Standard Model (BSM) is generally limited not by the supply of theory descriptions but by the lack of discriminating

Security Properties of Neural Networks as Decision Problems

Model ReleasesDGX agent

arXiv:2609.39768v1 Announce Type: cross Abstract: Certifying a deployed neural network raises decision problems that the verification literature has not classified: whether the model carries a backdoo

Self-Evolving Algorithm-Design Agents: Escaping In-Context Evolutionary Stagnation via Population-Curated Policy Optimization

Model ReleasesDGX agent

arXiv:2609.38757v1 Announce Type: new Abstract: Large language models are increasingly participating in complex real-world tasks in the form of algorithm-design agents, designing and refining algorith

Self-Evolving Harness on Multiple Tasks with the Agent as Its Own Optimizer

Model ReleasesDGX agent

arXiv:2609.38372v1 Announce Type: new Abstract: A harness is the code around a language-model agent that organizes prompts, calls tools, manages context, and controls execution. As models grow stronge

Self-Repulsive Sampling for Diffusion Language Models

Model ReleasesDGX agent

arXiv:2609.39560v1 Announce Type: new Abstract: Sampling several responses and voting over their answers can improve a language model's accuracy, but repeated answers limit the benefit of additional s

Self-Spec Verifiable Code Generation

Model ReleasesDGX agent

arXiv:2609.39568v1 Announce Type: cross Abstract: Large language models (LLMs) may generate unreliable code on corner cases missed by testing, while formal verification can provide machine-checkable g

Semantic-Aware Joint Source-Channel Optimization for Encoder-Agnostic Digital Video Communication

Model ReleasesDGX agent

arXiv:2609.39296v1 Announce Type: new Abstract: Video semantic communication has attracted increasing attention as a promising approach to improving video transmission efficiency. However, most existi

Sense and Sensitivity: Benchmarking LLM Clinical Triage Recommendations with Physician Experts

Model ReleasesDGX agent

arXiv:2609.38600v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly used in clinical settings, it is critical to evaluate their reliability under realistic variation in cl

Sequential Bayesian Evaluation of Large Language Model Behavior

Model ReleasesDGX agent

arXiv:2511.10661v2 Announce Type: replace Abstract: It is increasingly important to evaluate the characteristics of systems based on large language models (LLMs). Evaluations in this context often rel

SETA: Scaling Environments for Terminal Agents

Model ReleasesDGX agent

arXiv:2607.10891v2 Announce Type: replace Abstract: Large language models (LLMs) are rapidly shifting toward agents that solve tasks through diverse interfaces, including web and graphical user interf

Sharp Statistical Rates for Asynchronous TD Learning with Markovian Data

Model ReleasesDGX agent

arXiv:2609.38880v1 Announce Type: cross Abstract: We study the last iterate of standard tabular temporal-difference (TD) learning from a single trajectory of a finite Markov reward process. For discou

SHIFT-Truck: A High-Fidelity Aerodynamics Dataset and Benchmark for Pickup Trucks

Model ReleasesDGX agent

arXiv:2609.38638v1 Announce Type: cross Abstract: Pickup trucks account for 14% of new light-duty vehicles produced in the United States, yet are among the least aerodynamic. Their open cargo bed adds

Should I stay or should I show? Learning to selectively disclose information

Model ReleasesDGX agent

arXiv:2609.39818v1 Announce Type: new Abstract: In many high-stakes settings, human decision-makers can acquire support information before making a decision. However, acquiring information is costly,

Signal-Routed Temperature Scaling: Low-Capacity Risk-Conditioned Calibration for Small Validation Budgets

Model ReleasesDGX agent

arXiv:2609.38936v1 Announce Type: cross Abstract: When a classifier is recalibrated from only a few thousand held-out examples, the capacity of the calibration map becomes a statistical design choice

SkillSeek: Revisiting Agent Skill Retrieval at Marketplace Scale

Model ReleasesDGX agent

arXiv:2609.38822v1 Announce Type: cross Abstract: Anthropic's Agent Skills package reusable procedural know-how for an LLM agent into SKILL.md directories, and open-source aggregations have grown past

Sparse Planner: A Hybrid Planner for Efficient Sampling via a Conditional Variational Autoencoder

Model ReleasesDGX agent

arXiv:2609.39570v1 Announce Type: new Abstract: Trajectory planning is a core component of autonomous driving systems, where real-time performance and solution quality directly affect safety and relia

SplineWAM: Adaptive Action Horizons for World Action Models via B-Spline Representations

Model ReleasesDGX agent

arXiv:2609.39873v1 Announce Type: new Abstract: World action models (WAMs) are large embodied policies that jointly predict future video and the actions to execute, emitting a fixed-length action chun

STARS: From Spatiotemporal Dynamics to Social Representations in Human-Robot Interaction

Model ReleasesDGX agent

arXiv:2609.40245v1 Announce Type: cross Abstract: Robot navigation in dynamic, human-centered environments requires socially-compliant decisions grounded in robust scene understanding. Recent Vision-L

State-space models through the lens of ensemble control

Model ReleasesDGX agent

arXiv:2603.13587v2 Announce Type: replace-cross Abstract: State-space models (SSMs) are effective architectures for sequential modeling, but a rigorous theoretical understanding of their training dyna

SteerQuant: Steering Quantization Error with Action-Guided Scaling in World-Action Models

Model ReleasesDGX agent

arXiv:2609.39056v1 Announce Type: new Abstract: World-action models (WAMs) jointly generate future world states and actions through iterative denoising, using shared weights to process heterogeneous s

Strands Labs, AWS's experimental agent-development project, unveils Strands Decider 2B, a free, open-source Jev competitor fine-tuned from an Alibaba Qwen base (Carl Franzen/VentureBeat)

Model ReleasesDGX agent

Carl Franzen / VentureBeat: Strands Labs, AWS's experimental agent-development project, unveils Strands Decider 2B, a free, open-source Jev competitor fine-tuned from an Alibaba Qwen base — The race t

StreamRig: Exploiting Intra-Rig Geometry for Streaming Multi-Camera Odometry

Model ReleasesDGX agent

arXiv:2609.40244v1 Announce Type: new Abstract: Mobile robots and vehicles carry synchronized multi-camera rigs, yet many streaming 3D foundation models are designed for monocular input, leaving effic

Structure of Basic Human Values in Russian Social Media

Model ReleasesDGX agent

arXiv:2603.18822v2 Announce Type: replace Abstract: What is known about the values of national populations rests almost entirely on questionnaires, which prompt respondents to rate researcher-supplied

Super-Resolving Unseen Hyperspectral Sensors at Any Scale via Spatial Operators

Model ReleasesDGX agent

arXiv:2609.39926v1 Announce Type: new Abstract: Achieving cross-sensor generalization and arbitrary-scale reconstruction with a single model remains challenging in hyperspectral super-resolution (HSR)

Synthetic Pre-pretraining Survives Scale, but Not as a Grammatical Prior

Model ReleasesDGX agent

arXiv:2609.39827v1 Announce Type: cross Abstract: Pre-pretraining (PPT) on synthetic non-natural language data improves token efficiency during language model pre-training (PT). Prior work attributes

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