Search: “model-releases”

Coarsening Bias from Variable Discretization in Causal Functionals

arXiv:2602.22083v2 Announce Type: replace-cross Abstract: Causal identification functionals often require integration over conditional densities of continuous variables, such as those arising in nonpa

Model Releases

CoLT: Teaching Multi-Modal Models to Think with Chain of Latent Thoughts

DGX agent

arXiv:2606.31986v1 Announce Type: new Abstract: Chain-of-thought (CoT) reasoning has enabled multi-modal large language models (MLLMs) to tackle complex visual reasoning tasks by generating explicit i

model-releasesarxiv-cs-cv

1 Jul 2026

ComAct: Reframing Professional Software Manipulation via COM-as-Action Paradigm

arXiv:2606.13239v2 Announce Type: replace-cross Abstract: Existing computer-use agents remain fundamentally limited in professional software manipulation: GUI-based agents suffer from fragile visual g

Contextual Slate GLM Bandits with Limited Adaptivity

arXiv:2606.31449v1 Announce Type: new Abstract: We investigate the contextual slate bandit problem with generalized linear rewards under limited adaptivity. At each round, the learner is presented wit

CooperScene: Multi-Modal Cooperative Autonomy Benchmark with C-V2X Communication Characterization

arXiv:2606.31219v1 Announce Type: new Abstract: Cellular vehicle-to-everything (C-V2X) enables cooperative perception, prediction, and planning beyond the field of view of individual agents. However,

Cross-agent feedback loops are incredibly effective -- for a reason. Check out what @leon2mcp and team at @Bloome_im are building in this sp…

model-releasesfrancois-chollet--x

Cross-agent feedback loops are incredibly effective -- for a reason. Check out what @leon2mcp and team at @Bloome_im are building in this space: http://bloome.im Bloome lets you pull Claude, ChatGPT,

Cross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fine-Tuned Evaluation on Romanian

arXiv:2606.31718v1 Announce Type: cross Abstract: Relation extraction (RE) for low-resource languages is typically constrained by the lack of annotated corpora. We investigate the feasibility of cross

CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market

arXiv:2606.31461v1 Announce Type: new Abstract: Niche asset markets, such as Counter-Strike 2 (CS2) weapon skins, are small, volatile, and heavily driven by community discussions and platform rules. T

Curvature-Guided Module Localization for Low-Rank Detoxification of Backdoored Large Language Models

arXiv:2606.30899v1 Announce Type: cross Abstract: Backdoor attacks pose a serious threat to large language models (LLMs) by causing otherwise benign systems to produce attacker-specified malicious beh

DANTE-W: Diffuse Albedo Neural Texturing in the Wild

arXiv:2606.30677v1 Announce Type: cross Abstract: Classical mesh texturing techniques blend captured multi-view images directly, which inevitably suffer from baked-in shading and casted shadows that c

Dataset Construction for Training LLM to Learn Analog Circuit Knowledge

arXiv:2508.10409v3 Announce Type: replace-cross Abstract: This paper constructs a textual dataset for training large language models (LLMs) to learn analog circuit knowledge and customizes LLM trainin

Diffusing Blame: Task-Dependent Credit Assignment in Biologically Plausible Dual-Stream Networks

arXiv:2606.31700v1 Announce Type: new Abstract: Biological neural circuits obey Dale's principle: each neuron's synapses are uniformly excitatory or inhibitory. Artificial networks that respect this c

Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts

arXiv:2508.01273v3 Announce Type: replace Abstract: Explicit knowledge conflicts, occurring when retrieved contexts contain contradictory information, pose a fundamental challenge for Large Language M

Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation

arXiv:2606.20196v2 Announce Type: replace Abstract: Continual Test-Time Adaptation (CTTA) aims to maintain model performance under evolving target domains by adapting online without labeled data. Howe

Distilling Temporal Coherence into 2D Networks for Transrectal Ultrasound Prostate Video Segmentation

arXiv:2606.31198v1 Announce Type: cross Abstract: Real-time video segmentation of the prostate in Transrectal Ultrasound (TRUS) is essential for image-guided interventions. While conventional 2D metho

do you know what you pay for in agentic workloads? cached tokens! session with 50+ tool calls -> prompt is billed 50 times all providers giv…

model-releasesfireworks-ai--x

do you know what you pay for in agentic workloads? cached tokens! session with 50+ tool calls -> prompt is billed 50 times all providers give 1/5 cached discount for GLM-5.2 we at @FireworksAI_HQ drop

Domain-Decomposed Randomized Neural Networks for Partial Differential Equations in Unbounded Domains

arXiv:2606.31342v1 Announce Type: cross Abstract: Partial differential equations on unbounded domains are challenging because the exterior region must be represented without excessive truncation error

Dual Sparse Aggregation Transformer for Multispectral Object Detection

arXiv:2606.31015v1 Announce Type: new Abstract: Transformer-based approaches have obtained excellent performance in multispectral object detection tasks due to their ability to model long-range depend

Dualformer: Efficient Feature Extractor for Complex-valued Blind Communication Signal Analysis

arXiv:2606.31352v1 Announce Type: new Abstract: Designing effective feature extractors is critical for blind signal analysis tasks such as automatic modulation recognition (AMR), signal scheme recogni

DynFly: Dynamic-Aware Continuous Trajectory Generation for UAV Vision-Language Navigation in Urban Environments

arXiv:2606.31654v1 Announce Type: cross Abstract: Recent advances in multimodal large models have significantly improved UAV vision-language navigation (UAV-VLN) by enhancing high-level perception and

E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes

arXiv:2604.04834v2 Announce Type: replace Abstract: Robotic Vision-Language-Action (VLA) models generalize well for open-ended manipulation, but their perception is fragile under sensing-stage degrada

Early-Terminable Energy-Safe Iterative Coupling for Parallel Simulation of Partitioned Port-Hamiltonian Systems

model-releasesarxiv-cs-ro

arXiv:2603.16424v2 Announce Type: replace Abstract: Parallel simulation of robotic systems requires partitioning the dynamics into coupled subsystems. Finite-iteration coupling across the partition bo

Editing Everything Everywhere All at Once

arXiv:2606.31278v1 Announce Type: new Abstract: Editing multiple elements of an image in a single forward pass is a practical alternative to multi-turn image manipulation, offering improved efficiency

Efficient Public Verification of Private ML via Regularization

arXiv:2512.04008v2 Announce Type: replace Abstract: Training with differential privacy (DP) guarantees dataset members that they cannot be identified by users of the released model. However, those dat

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table

arXiv:2606.30961v1 Announce Type: cross Abstract: Advances in deep learning architectures and representations have enabled ML-driven chemical property prediction, but state-of-the-art (SOTA) models ha

Embodied CAD: Solver-Grounded LLM Agents for Parametric B-Rep Assembly Modeling

arXiv:2606.31252v1 Announce Type: new Abstract: Large language models can write plausible CAD scripts, but reliable industrial CAD modeling requires more than syntactically valid code: every feature,

Energy-Optimal Spatial Iterative Learning within a Virtual Tube

model-releasesarxiv-cs-ro

arXiv:2606.31487v1 Announce Type: new Abstract: Due to the limited endurance of embedded energy sources such as lithium-polymer (LiPo) batteries, the flight duration and operational range of unmanned

Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing

arXiv:2511.11046v3 Announce Type: replace-cross Abstract: Graph neural networks (GNNs) have become an indispensable tool for analyzing relational data. Classical GNNs are broadly classified into three

Evidence Triangulation for Multimodal Fact-Checking in the Wild

arXiv:2606.31367v1 Announce Type: cross Abstract: The proliferation of multimedia content on social platforms has fueled multimodal misinformation, where images are used to reinforce false claims. Con

Exabeam doubles AI detection coverage and adds Anthropic Claude support

model-releasessiliconangle

Behavior intelligence company Exabeam Inc. today expanded its security operations platform with new capabilities for detecting and investigating artificial intelligence agents, doubling its AI-focused

excited to get Fable back in your hands!

excited to get Fable back in your hands! We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5. We'll begin restoring access tomorrow, and wil

model-releasesthariq--x

Explicit Fuzzy Logic in the Feed-Forward Layer: Self-Forgetting Quantifiers Discover Legible Grammatical-Licensing Detectors

model-releasesarxiv-cs-cl

arXiv:2606.31845v1 Announce Type: new Abstract: A transformer's feed-forward (FFN) sublayer materializes the distinctions attention gathers, yet gives no account of what it computes. In a parameter-ne

Fable 5 back Lebron possibly to the Warriors AI eng world fair it's a good week to be in SF

model-releasesjerry-liu--x

Fable 5 back Lebron possibly to the Warriors AI eng world fair it's a good week to be in SF We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mytho

Fable, the indomitable model from Anthropic, is coming back. These last two weeks have been a great reminder that: models can be removed at …

model-releasesallie-k--miller--x

Fable, the indomitable model from Anthropic, is coming back. These last two weeks have been a great reminder that: models can be removed at any time, you should have fallback plans (including open sou

FairJudge: An Adaptive, Debiased, and Consistent LLM-as-a-Judge

model-releasesarxiv-cs-cl

arXiv:2602.06625v2 Announce Type: replace Abstract: Existing LLM-as-a-Judge systems suffer from three fundamental limitations: limited adaptivity to task- and domain-specific evaluation criteria, syst

FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning

arXiv:2511.17979v2 Announce Type: replace Abstract: Diffusion models have achieved remarkable success in generative modeling, yet how to effectively adapt large pretrained models to new tasks remains

FinPersona-Bench: A Benchmark for Longitudinal Psychometric Stability of Autonomous Financial Agents

arXiv:2606.31522v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly deployed as autonomous financial agents initialized with explicit behavioral mandates such as 'preserve

Fleet: Few Shots Lead Effective AI-generated Image Detection

arXiv:2606.31082v1 Announce Type: new Abstract: AI-generated image (AIGI) detection is undergoing a critical transition from laboratory benchmarks to open-world adversarial defense. The prevalent para

Follow @zcode_ai for the latest updates. See the full changelog: http://zcode.z.ai/en/changelog

model-releaseszhipu-ai--x

Zhipu AI announces updates and directs users to follow their @zcode_ai account for the latest news. The full changelog of updates and improvements can be accessed at their dedicated changelog page on

'For agents within an actual product, I have gravitated to using LangChain DeepAgents. I feel like their base harness is less heavy, and the…

model-releasesharrison-chase--x

'For agents within an actual product, I have gravitated to using LangChain DeepAgents. I feel like their base harness is less heavy, and their abstraction for building agents that use skills and tools

for everyone asking, yes, the Claude session (Fable/Claude Code/Claude Tags etc) will be in 19 mins downstairs in Expo Stage 2!!!!

for everyone asking, yes, the Claude session (Fable/Claude Code/Claude Tags etc) will be in 19 mins downstairs in Expo Stage 2!!!! so proud to host my friend @trq212 to give the world’s first Fable ta

model-releasesswyx--x

Fora: From Weight-Space to Function-Space Protection in Capability-Preserving Fine-Tuning

arXiv:2606.31092v1 Announce Type: new Abstract: Full fine-tuning adapts large language models to new tasks but can erode capabilities they already possess. Existing remedies protect through proxies su

From Grasps to Dexterity: Large-Scale Grasp Pretraining for Dexterous Manipulation

model-releasesarxiv-cs-ro

arXiv:2606.30749v1 Announce Type: new Abstract: Large-scale dexterous grasp datasets encode rich priors over hand-object interaction, but their use has largely been confined to grasp generation and pi

Gemini Omni Flash can swap objects, change environments, and make targeted edits to existing videos using simple text prompts. To try this w…

Gemini 2 Flash, Google's multimodal AI model, enables video editing capabilities including object swapping, environment changes, and targeted edits through simple text prompts. The feature allows user

Gemini Omni Flash: Image to Video https://links.comfy.org/4y3e93O

Gemini Omni Flash is a model capability that generates video content from still images, likely integrated into or demonstrated through ComfyUI's node-based interface. This feature represents advanceme

Gemini Omni Flash is now in ComfyUI via partner nodes. Google's state of the art model with physics and video editing capabilities is now in…

Gemini Omni Flash is now in ComfyUI via partner nodes. Google's state of the art model with physics and video editing capabilities is now inside the world's most strongest generative AI workflow engin

Gemini Omni Flash: Video Edit https://links.comfy.org/445S9aM

Gemini Omni Flash: Video Edit is a ComfyUI workflow or tool that enables video editing capabilities using Google's Gemini Omni Flash model, likely allowing users to perform AI-assisted video editing t

Gemma 4 is now nearly 90% faster on Apple Silicon with Ollama using MLX! The speedup comes from improved multi-token prediction (MTP), now o…

Gemma 4 is now nearly 90% faster on Apple Silicon with Ollama using MLX! The speedup comes from improved multi-token prediction (MTP), now on by default for Gemma 4, with more models to come. Ollama a

model-releasesollama--x