Search: “model-releases”

A3P5 NEMESIS Integrated Rover Design for Environmental Reconnaissance and Robotic Sampling with Reproducible Mobility Analysis and an External Data Machine Learning Calibration Benchmark

arXiv:2609.18245v1 Announce Type: new Abstract: A3P5 NEMESIS is a four-wheel rover intended to combine remote inspection, environmental observation and lightweight manipulation within one serviceable

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AdaGeoVLN: Selective Geometry Across Representation Depth and Navigation Time for Vision-Language Navigation

arXiv:2609.18789v1 Announce Type: new Abstract: Vision-language navigation requires aligning language with visual observations while maintaining spatial understanding over time. Geometry foundation mo

Adaptive hybrid coupling with operator inference, the overlapping Schwarz alternating method and reinforcement learning

arXiv:2609.17837v1 Announce Type: cross Abstract: Hybrid domain decomposition methods provide a flexible framework for coupling full order models (FOMs) and reduced order models (ROMs), but typically

Adaptive Interpolatory Curve Subdivision with Learned Local Angles

model-releasesarxiv-cs-cv

arXiv:2609.17566v1 Announce Type: new Abstract: Curve subdivision is pivotal in computer graphics for generating smooth geometric objects from control polygons. Interpolatory subdivision is especially

AgentPack: A Dataset of Code Changes, Co-Authored by Agents and Humans

arXiv:2509.21891v3 Announce Type: replace-cross Abstract: Fine-tuning large language models for code editing has typically relied on mining commits and pull requests. The working hypothesis has been t

Agora: Git as Shared Memory for Collective AutoResearch

arXiv:2609.18094v1 Announce Type: cross Abstract: Autonomous research loops such as AutoResearch show that one coding agent can improve a training setup unattended. Run several of them and each sessio

Align, Integrate, and Fire: Efficient Token-Level Alignment for Zero-Shot SpeechLLMs

arXiv:2609.18516v1 Announce Type: new Abstract: While Large Language Models excel in natural language processing, efficiently extending their capabilities to spoken input remains a significant challen

AMIGO: Agentic Multi-Image Grounding Oracle Benchmark

arXiv:2603.28662v2 Announce Type: replace-cross Abstract: Agentic vision-language models increasingly act through extended interactions, but most evaluations still focus on single-image, single-turn c

An Efficient Algorithm for Minimum-Pressure Growth Planning of Vine Robots

arXiv:2609.18070v1 Announce Type: new Abstract: Vine robots navigate cluttered environments by extending from their tip. Although their ability to operate in such environments has been extensively dem

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

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

model-releasesr-localllama

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

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

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

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

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

model-releasesarxiv-cs-lg

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

model-releasesarxiv-cs-lg

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

model-releasesarxiv-cs-lg

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