model releases

An Empirical Evaluation of Cost-Efficient Large Language Models on Algorithmic Programming Tasks

arXiv:2609.18052v1 Announce Type: cross Abstract: This study empirically evaluates whether cost-efficient Large Language Models (LLMs) can be trusted to generate enterprise code to a written specifica

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Model Releases

AndroidLife: Can an AI agent survive a day in the life of a real user? Qwen3.8-27b run: 56.7% SR

DGX agent

I let AI run my phone 60 real tasks, back to back, on the OnePlus I use every day - Best text model still failed 43% of them - Peak chip temp 98.2 C - 69% of the battery gone The benchmark is AndroidL

model-releasesr-localllama

17 Sept 2026

Anthropic and other researchers detail how thousands of people were catfished by dating scam apps using LLM-generated replies from Claude and other models (Yael Grauer/The Verge)

Yael Grauer / The Verge: Anthropic and other researchers detail how thousands of people were catfished by dating scam apps using LLM-generated replies from Claude and other models — Security researche

model-releasestechmeme

Anthropic redesigns Claude projects, letting users describe work in one conversation and have Claude manage it across parallel threads, starting in Claude Code (Claude)

Claude: Anthropic redesigns Claude projects, letting users describe work in one conversation and have Claude manage it across parallel threads, starting in Claude Code — A new experience for Claude pr

model-releasestechmeme

Anthropic says Claude 'leads' 26% of its AI R&D work, up from 1% in March, and 'collaborates' on 90%+, doing large chunks of work under close human direction (Shirin Ghaffary/Bloomberg)

Shirin Ghaffary / Bloomberg: Anthropic says Claude “leads” 26% of its AI R&D work, up from 1% in March, and “collaborates” on 90%+, doing large chunks of work under close human direction — More than a

model-releasestechmeme

Are there any model architecture innovations/breakthroughs that we're looking forward to in the next wave of open model drops?

model-releasesr-localllama

Basically the title. Training models take time and if a model was already in the process of pre-training/RL then it can't be re-cooked with any new architectural improvement that has been discovered i

Ask the Tool, Don't Guess: Agent Tool Calls Hold Their Progress, and the Serving System Should Read It

arXiv:2609.18849v1 Announce Type: cross Abstract: An agentic request spends substantial wall-clock time waiting for tools, and its KV cache holds GPU memory the whole time. Serving systems decide whet

Audio for Sports Highlight Detection: A Comparative Empirical Study

model-releasesarxiv-cs-cv

arXiv:2609.17923v1 Announce Type: new Abstract: Sports highlight detection aims to identify the most exciting and meaningful moments from long sports videos. While existing methods often emphasize vis

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

arXiv:2609.18123v1 Announce Type: new Abstract: Large language model agents tune GPU kernels and serving engines through a closed loop of propose, measure, and keep, but the measurements behind this l

b11010

vulkan: work around NV bug with argsort_large.comp (#28975) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48059150 macOS/iOS: macOS Apple Silicon (arm64)

b11011

[SYCL] Fix function signature for ggml_backend_sycl_split_buffer_type (#28981) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48082811 macOS/iOS: macOS App

b11012

vulkan: support qwen4exp hc ops (#28988) vulkan: support qwen4exp hc ops fix stale comment [no-ci] Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48109146

b11013

vulkan: fix buffer_reference alignment in im2col shaders (#28996) Both im2col.comp and im2col_3d.comp declare D_ptr without an explicit buffer_reference_align, so glslang emits writes through it as Al

b11015

opencl: fix various warnings (#28984) opencl: fix warnings opencl: fix warnings for non adreno Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48132480 macO

b11016

sycl: ssm_conv: fuse the SiLU epilogue into the ssm_conv kernel (#28929) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48138242 macOS/iOS: macOS Apple Sil

b11017

vulkan: skip unneeded MoE work in mul_mm coopmat1 path (#25483) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48144237 macOS/iOS: macOS Apple Silicon (arm

b11018

sycl : fix the B70 mem allocate error when >19.3GB (#28953) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48150237 macOS/iOS: macOS Apple Silicon (arm64)

b11019

gguf : align the data section relative to the GGUF start, not the file (#28993) gguf : align the data section relative to the GGUF start, not the file gguf_init_from_file_ptr reads a GGUF from the cur

b11020

chat : add message delimiters to the DeepSeek V3.2/V4 parser (#29008) chat : add message delimiters to the DeepSeek V3.2/V4 parser Assisted-by: Claude Co-authored-by: Sigbjørn Skjæret sigbjorn.skjaere

b11022

vulkan: split buffers and debug code into separate files, add shared headers (#28732) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48170206 macOS/iOS: ma

b11024

openvino : Update OpenVINO to 2026.4;fix clangd,MSVC warnings; (#29009) Update to openvino-2026.4 Update OV docs ggml-openvino : fix clangd and MSVC warnings fix int to ptr cast, more internal linkage

b11025

model : extend Nemotron MTP support (#29018) first fix removed unnecessary declarations Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48188464 macOS/iOS:

b11026

model : skip gate_up_exps if TENSOR_SKIP is set (#29014) required for qwen35moe if MTP tensors are fused but not loaded Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/a

b11027

rpc : skip ACCEL devices (#29020) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48232585 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64

b11028

ci : add missing evict-old-files (#29041) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48252257 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silico

Bad Genius: Counterfactual-Guided Harness Evolution Beyond Task-Specific Shortcuts

arXiv:2609.18366v1 Announce Type: new Abstract: Reliable agent evaluation is complicated by automatic harness optimization, which repeatedly uses a released benchmark B_{rel} to guide a Proposer that

BadQubits: An LLM-Based Framework for Static Pre-Execution Detection of Structurally Harmful Quantum Circuits

arXiv:2609.18965v1 Announce Type: cross Abstract: This paper presents BadQubits, an LLM-based framework for static pre-execution detection of structurally harmful OpenQASM 2.0 circuits. The framework

Banger release from NVIDIA. They just published a report on NeMo Data Designer, their open-source synthetic data tool. It's a declarative co…

Banger release from NVIDIA. They just published a report on NeMo Data Designer, their open-source synthetic data tool. It's a declarative config which makes a synthetic data pipeline easy to review, s

model-releasesdair-ai--x

Beginner confused about Ollama vs LM Studio vs llama.cpp vs vLLM vs Unsloth — can someone explain?

Hey everyone! I'm a beginner getting into local LLMs, and so far I'm familiar with Ollama. I've used it to download and run models locally, but I'm starting to see a lot of other tools being mentioned

model-releasesr-ollama

Behavior2Value: Benchmarking and Empowering LLMs for Consumer Value Measurement from E-commerce Behaviors

model-releasesarxiv-cs-cl

arXiv:2609.18203v1 Announce Type: new Abstract: Human values are deep motivational orientations that shape human behaviors. In e-commerce, they reveal the stable drivers behind users' purchase decisio

BENCHCOMPASS: From Scores to Signals for Training and Harness Decisions in Payment-Domain LLMs

arXiv:2609.18270v1 Announce Type: new Abstract: Payment operations are a critical financial infrastructure, but the value of large language models in this domain remains unclear because payment rules

Benchmarking Large Language Models for Biomedical Relation Extraction

model-releasesarxiv-cs-cl

arXiv:2609.19071v1 Announce Type: new Abstract: Extracting SNP-phenotype associations from biomedical literature is vital but challenging. We benchmarked diverse NLP models, including MLMs, hybrid arc

Benchmarking Visual-Inertial Odometry in Subterranean Environments Under Sensor Degradation, Miscalibration, and Dynamic Occlusion

model-releasesarxiv-cs-ro

arXiv:2609.18628v1 Announce Type: new Abstract: Visual-inertial odometry (VIO) is a core capability for autonomous operation in GPS-denied subterranean environments, yet its reliability can degrade sh

Beyond Embedding Transfer: Component Roles in Grokking Transfer and Stability

arXiv:2609.18078v1 Announce Type: new Abstract: Warm-start transfer can make algorithmic tasks generalize rapidly, yet it is unclear which model components provide the gain and whether that gain remai

Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking

arXiv:2609.18909v1 Announce Type: cross Abstract: Agent benchmarks are substantially more costly to evaluate than conventional LLM benchmarks. Benchmark compression is therefore a natural solution, ye

Beyond Routine Compliance: Cunning Data Cultivates Safety Vigilance in Large Language Models

arXiv:2609.18515v1 Announce Type: new Abstract: Safety alignment teaches large language models (LLMs) to recognize harmful requests and reject risky instructions. Yet aligned models can fail when harm

Beyond the Previous Layer: Residual Predictive Structure in Sparse MoE Routing

arXiv:2609.17940v1 Announce Type: new Abstract: Sparse mixture-of-experts models route each token through a sequence of expert selections. We ask whether the immediately preceding selection adequately

Bias Amplification in Multi-Agent Network: How Biased Agents Shape Opinions and Rhetoric

arXiv:2609.18306v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in applications involving interaction between agents, where their output plays a role in collecti

BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models

arXiv:2505.01912v3 Announce Type: replace-cross Abstract: Data-driven molecular discovery leverages artificial intelligence/machine learning (AI/ML) and generative modeling to filter and design novel

Bypassing the Rationale: Causal Auditing of Implicit Reasoning in Language Models

arXiv:2602.03994v3 Announce Type: replace-cross Abstract: Chain-of-thought (CoT) prompting is widely used as a reasoning aid and is often treated as a transparency mechanism. Yet behavioral gains unde

Cactus Needle 3: A Sliceable 8-29MB Automation Foundation Model That Matches DeepSeek v4 Flash

model-releasesr-localllama

Hey all, Henry from Cactus Compute here, I kinda wanted to share our latest model and get feedback from the family :) Needle 3 is a small foundation model for automation: you give it the functions you

Calibrated Probabilistic Obstruction Reasoning with Vision-Language Models for Grasping in Clutter

model-releasesarxiv-cs-ro

arXiv:2609.18718v1 Announce Type: new Abstract: Retrieving a target from clutter requires deciding whether to grasp the target, remove a blocker, or defer. Existing methods typically commit to a singl

Call for compute - help optimize Qwen inference speed on local hardware

model-releasesr-localllama

Yoyo I renamed https://github.com/syv-ai/qwen38-27b-rtx3090 to https://github.com/syv-ai/HyperQwen/ to focus more on Qwen models and 'local' hardware in general, than just a single card and a single m

CANTABILE: Learning Expressive Dynamics for Robotic Piano Performance

model-releasesarxiv-cs-ro

arXiv:2609.18213v1 Announce Type: new Abstract: Robotic piano playing has emerged as a standard benchmark for dexterous bimanual manipulation, yet progress on it has been measured almost entirely by n

CapMem: A Benchmark for Caption-Based Episodic Memory in Egocentric Video

arXiv:2609.17688v1 Announce Type: new Abstract: Wearable assistants require episodic memory over egocentric video, yet current vision-language models face bounded frame budgets, growing visual-token c

CARA: Collision-Aware Resolution Adaptation for Multiresolution Hash Encoding Based Image Fitting

model-releasesarxiv-cs-cv

arXiv:2609.18554v1 Announce Type: new Abstract: Multiresolution hash encodings have recently enabled fast and high-fidelity implicit neural representations by storing multi-scale features in fixed-siz

Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion

model-releasesarxiv-cs-cv

arXiv:2412.11420v2 Announce Type: replace Abstract: Estimating the 6D pose and 3D size of an object from visual data is a fundamental task in computer vision. Although single-view geometry is a deeply

Characterizing Replay Retention Under Dynamics Shift in Model-Based Reinforcement Learning

arXiv:2609.18167v1 Announce Type: cross Abstract: Adapting to changes in robot dynamics requires learning from new data without discarding experience that may still be useful. In continual model-based