Search: “model-releases”

ALPINE: Adaptive Localization for Parameter- and Sample-Efficient Few-Shot Learning

arXiv:2609.22323v1 Announce Type: new Abstract: Few-shot learning research is predominantly evaluated on accuracy alone, with limited attention to the parameter and training-sample budgets required to

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Model Releases

An Empirical Cost Attribution of Context-Compression Gateways in Multi-Turn Coding Agents

DGX agent

arXiv:2609.22114v1 Announce Type: new Abstract: Context compression is widely proposed as a way to cut the token bill of LLM coding agents, and public benchmarks report that aggressive compression pre

model-releasesarxiv-cs-cl

22 Sept 2026

An Empirical Study and Open Testbed for Federated Fine-Tuning of Vision-Language-Action Models

arXiv:2609.22973v1 Announce Type: new Abstract: Adapting a pretrained Vision-Language-Action (VLA) model to a new robot, environment, or task requires demonstrations that are collected locally and oft

An Empirical Survey and Benchmark of Learned Distance Indexes for Road Networks

arXiv:2602.04068v2 Announce Type: replace Abstract: The calculation of shortest-path distances in road networks is a core operation in navigation systems, location-based services, and spatial analytic

An Iterative LangGraph Agent for Text-to-SQL: Natural Language Access to the Chicago Crime Database

arXiv:2609.22917v1 Announce Type: new Abstract: Non-technical stakeholders frequently cannot write the SQL needed to extract insights from operational databases. We built and evaluated a Text-to-SQL a

An Unexpected Robot Policy: Early Evaluations of GPT-6 Astra on RoboDojo and Beyond

arXiv:2609.24170v1 Announce Type: new Abstract: Embodied AI systems are often organized into System 1 and System 2. System 1 is typically a pretrained policy that generates actions at high frequency,

AnalogDepth: Multi-view Geometry from FPV drones under Analog Video Transmission

arXiv:2609.24312v1 Announce Type: new Abstract: Analog video transmission (VTX) remains widespread in FPV drones due to low latency, weight and low cost. However analog VTX suffers from complex spatia

Ananke: Contractive Torus Attractor Networks

arXiv:2609.24737v1 Announce Type: new Abstract: We introduce Ananke, a representation-learning framework that scaffolds latent representations onto a structured product-torus prior, and its flagship v

AniPrO: Interpretable Anime Image Provenance Detection via Multi-Dimensional Semantic Reasoning

arXiv:2609.23345v1 Announce Type: new Abstract: As generative AI becomes increasingly used in anime-style image creation, distinguishing human-drawn, AI-inpainted, and text-to-image images is importan

Anthropic launches Claude Opus 5.5 with stricter safeguards for cybersecurity

model-releasesthe-verge-ai

Anthropic says its new Claude Opus 5.5 model comes with stronger safeguards in the wake of recent rogue AI hacking incidents. In an announcement on Tuesday, Anthropic says Opus 5.5 comes with improvem

Anthropic raises its five-hour usage limits by 20% on Pro, Max, and Team plans, and gives subscription users a rate limit reset (David Gewirtz/ZDNET)

David Gewirtz / ZDNET: Anthropic raises its five-hour usage limits by 20% on Pro, Max, and Team plans, and gives subscription users a rate limit reset — Anthropic's newest Claude model aims to make fr

model-releasestechmeme

Anthropic releases Claude Opus 5.5 and OpenAI counters with two cheaper GPT-6 models

model-releasessiliconangle

Despite rampant worries about runaway artificial intelligence, the two big AI model makers aren’t yet slowing down: Anthropic PBC released Claude Opus 5.5 today and cut its price 20%, and minutes late

Anthropic says Opus 5.5 matches Fable 5.1 'on most tasks' while costing about 40% less to run than Opus 5; Opus 5.5 costs 4/1M input and 20/1M output tokens (Matthias Bastian/The Decoder)

Matthias Bastian / The Decoder: Anthropic says Opus 5.5 matches Fable 5.1 “on most tasks” while costing about 40% less to run than Opus 5; Opus 5.5 costs 4/1M input and 20/1M output tokens — Ask about

model-releasestechmeme

Anthropic's Claude Opus 5.5 is now available in Hermes Agent via Nous Portal!

model-releasesnous-research--x

Anthropic's Claude Opus 5.5 is now available in Hermes Agent via Nous Portal! OPUS 5.5 BENCHMARKS JUST DROPPED. It beats Fable 5.1 and GPT 6 Astra across the board. Agentic coding, knowledge work, rea

Anticipatory Robot Goalkeeping via Monotone Optimal Stopping

arXiv:2609.23976v1 Announce Type: new Abstract: Robots engaged in fast physical interactions often need to act before the intent of another agent is fully known. Anticipatory goalkeeping illustrates t

Apollo Restore: A Foundation LLM for Historical Greek Optimized for Fill-in-the-Middle Restoration of Ancient Greek Texts

arXiv:2609.22455v1 Announce Type: new Abstract: We present Apollo Restore, a 24-billion-parameter large language model for restoring lacunae---physical gaps---in fragmentary Ancient Greek texts. Fine-

AquaCap: A Training-Free Underwater Embodied Agent with Code-as-Policy

arXiv:2609.23133v1 Announce Type: new Abstract: Recent advances in vision-language-action models have stimulated growing interest in underwater embodied intelligence. However, their reliance on large-

AR-WAM: A Visual-Conditioned Agent-Ready World Action Model for Robotic Manipulation

arXiv:2609.23578v1 Announce Type: new Abstract: As AI agents become increasingly capable, agent-driven robotic control is emerging as a compelling paradigm. However, prevailing vision-language-action

ARCGym: Benchmarking Deep Reinforcement Learning in Autonomous Robotic Colonoscopy

arXiv:2609.22803v1 Announce Type: new Abstract: Simulations for learning-based autonomous colonoscopic navigation focus mainly on fully actuated capsule robots, failing to capture the contact-rich nav

Are Coreset Selection Methods Worth Their Cost?

arXiv:2609.22894v1 Announce Type: cross Abstract: Coreset selection picks a representative subset of the labeled training set to make training cheaper. However, it is usually evaluated by downstream a

Artificial Structure Function Search: Preserving Artificial Functional Connectivity for Structured Pruning

arXiv:2609.24401v1 Announce Type: new Abstract: Structured pruning is a model compression technique that is used to reduce the computational cost of deploying deep neural networks on resource-constrai

As part of our efforts to pace the frontier, we’re committed to supporting independent assessments with deep levels of access across trainin…

As part of our efforts to pace the frontier, we’re committed to supporting independent assessments with deep levels of access across training, evaluation, and deployment. That access should enable thi

model-releasesopenai--x

Ask Before It Tells: Benchmark-to-Robot Body-Cue Transfer for a Question-First Bedside Robot

arXiv:2609.24099v1 Announce Type: new Abstract: Body-cue recognition can support assistive robots, but benchmark accuracy does not guarantee reliable behavior under a robot-camera viewpoint. We presen

Ask for Any Appliance: A Prompt-Programmable Foundation Model for Non-Intrusive Load Monitoring

arXiv:2609.23146v1 Announce Type: new Abstract: Non-intrusive load monitoring (NILM) estimates appliance-level consumption from a whole-home meter, but appliance-specific models and fixed output inven

AskQE: Question Answering as Automatic Evaluation for Machine Translation

arXiv:2504.11582v3 Announce Type: replace Abstract: How can a monolingual English speaker determine whether an automatic translation in French is good enough to be shared? Existing MT error detection

Assessing Readability with LLMs: The Role of Reasoning and Few-Shot Prompting

arXiv:2609.24650v1 Announce Type: new Abstract: Readability assessment is essential for tailoring texts to intended audiences across educational, healthcare, and information retrieval domains. However

At Box, we've been testing Opus 5.5 on a variety of complex enterprise knowledge work tasks dealing with unstructured data with the Box Agen…

model-releasesboris-cherny--x

At Box, we've been testing Opus 5.5 on a variety of complex enterprise knowledge work tasks dealing with unstructured data with the Box Agent. Overall, we saw frontier capability levels, with major pe

Auditing Political Alignment in LLM Assistants: Engagement, Stance, and User Identity

arXiv:2609.23039v1 Announce Type: new Abstract: LLM-based AI systems answer political questions for hundreds of millions of people. Current audits measure what they say to an average user, but their b

Augmenting PID Control with Deep Reinforcement Learning: A Hybrid Approach to the Industrial Benchmark

arXiv:2609.22584v1 Announce Type: new Abstract: As industrial processes grow in complexity, traditional Proportional-Integral-Derivative (PID) controllers are often insufficient for handling their non

Authority-Preserving Evaluation of Medical Vision-Language Assistants

arXiv:2609.22302v1 Announce Type: new Abstract: Medical vision-language models can propose how urgently a skin lesion should be reviewed, but the local service retains authority to accept or replace t

AVTR-1: Open Stack for Real-Time Interactive Avatars

arXiv:2609.22913v1 Announce Type: new Abstract: Talking-head and dyadic models now achieve real-time inference, yet fast motion generation alone does not produce an interactive conversation. A live sy

b11093

metal : fix mask bounds in flash attention block pre-pass (#29220) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49087452 macOS/iOS: macOS Apple Silicon (

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vendor : update cpp-httplib to 0.57.1 (#29239) Signed-off-by: Adrien Gallouët adrien@gallouet.fr Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49092442 ma

b11095

hexagon: new HMX-optimized GATED_DELTA_NET (#29199) hex-gdn: start putting together HMX support for GDN hex-gdn: working hmx but not-pipelined and slow for now hex-gdn: re-write vtcm layout handling a

b11097

opencl: add A8 Q4_0 non-MoE dp4a binary kernel (#29055) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49141307 macOS/iOS: macOS Apple Silicon (arm64) macO

b11099

ci : publish snapdragon builds in release workflow (#29007) The snapdragon CI builds packages only to feed the QDC device tests, so Hexagon NPU binaries never reached the releases page. Build both tar

b11100

chat : Fix Muse Glimmer tool-call first parser error (#29242) Fix Muse Glimmer tool-call first parser error Add test to verify Condense patterns remove test for trigger patterns Website: https://llama

b11101

cmake : allow repeated find_package calls for llama (#29228) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49213556 macOS/iOS: macOS Apple Silicon (arm64)

b11102

convert: add MiMo-V2.6 support (#29257) convert: add MiMo-V2.6 support Hoist the K3 mxfp4 conversion repack into base.py so it can be reused Remove decoder from mmproj convert Update conversion/mimo.p

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spec : support DFlash for HunyuanOCR (#28890) model : add DFlash layer-input taps for HunyuanVL DFlash speculative decoding needs the target graph to expose the residual stream entering each layer (re

b11104

server: Add support for binding to multiple addresses (#28690) Add support for binding llama-server to multiple addresses Assisted-by: Codex remove redundant thread handler make it clear about overlap

b11105

jinja: use const for statement::execute and ::visit (#29271) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49279983 macOS/iOS: macOS Apple Silicon (arm64)

b11108

ggml : IQ1_M build prefix sums once per block (#28706) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49294443 macOS/iOS: macOS Apple Silicon (arm64) macOS

b11109

metal : gate mul_mm_id src1 rescale behind ggml_prec (#29029) metal : gate mul_mm_id src1 rescale behind ggml_prec Assisted-by: Claude Fable 5.1 ggml-webgpu: reject MUL_MAT_ID when src1 precision is F

b11110

mtmd: add various sanity checks (#29276) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49308522 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon

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vulkan: add Intel Xe flash attention optimization kernels (2/3, Xe-LPG Plus/Xe2/Xe3) (#24406) vulkan : Intel FA kernel optimization for split k path vulkan : Host code update for Intel split k FA kern

b11112

server: support input_image in function_call_output (#20663) (#22575) server: support input_image in function_call_output (#20663) server: fix if statement spacing server: avoid repeated type lookup W

b11113

server: do not pass log file to children (#29212) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49344105 macOS/iOS: macOS Apple Silicon (arm64) macOS Appl