model releases

Autonomous Driving Research Requires a Community-Driven Data Paradigm

arXiv:2610.08825v1 Announce Type: new Abstract: Autonomous driving has made remarkable progress, with recent AI advances enabling commercial deployments that are reshaping urban mobility. Yet the fiel

b11480

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DGX agent

llama : add a GPU cache for MoE experts kept in host memory (#29887) llama : add a GPU cache for MoE experts kept in host memory Assisted-by: Claude use llama_moe_cache_ptr Website: https://llama.app

model-releasesllama-cpp-releases

8 Oct 2026

b11481

mtmd: add cohere2 vision support (#30062) cohere2 vision model address comments remove redundant mapping follow existing patterns fused linear_1 Website: https://llama.app Attestations: https://github

b11482

cuda: FWHT kernels for block widths above 512 (#29100) The CUDA FWHT covers widths 64 to 512. It runs one row per warp and keeps N/32 values per lane, so wider blocks need more registers per lane than

b11483

model : add LiquidAI/d1-3B decision model (#30110) model : add LiquidAI/d1-3b decision model mtmd : read LFM2 image resize algo from GGUF Assisted-by: Claude Opus 5.5 common : rename decision type d1

b11484

chat : name tool and argument parser rules by index (#30088) bugfix: infinite recursion caused by a tool named 'call'(#29967) chat : use index for schema and argument rules tests : remove tests tests

b11485

chat: fix jinja parser for TranslateGemma (#30096) chat: fix jinja parser for translategemma log if missing soruce_lang_code or target_lang_code Website: https://llama.app Attestations: https://github

b11486

hexagon: improved GELU accuracy (#30104) Assisted-by: OpenCode Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/53797268 macOS/iOS: macOS Apple Silicon (arm6

b11487

hexagon: support tiled Q4_K and Q6_K GET_ROWS (#30115) hexagon: support tiled Q4_K GET_ROWS Assisted-by: OpenCode properly reject Q4_K views Assisted-by: OpenCode hexagon: support tiled Q6_K GET_ROWS

b11488

model : add LiquidAI/d1-omni-600M decision model (#30114) model : add LiquidAI/d1-omni-600M decision model Assisted-by: Claude Opus 5.5 mtmd : keep conformer GLU sigmoid on CUDA Assisted-by: Claude Op

b11489

hexagon: Q6_K weight dequant speedup (#30121) hexagon: Q6_K weight dequant speedup Assisted-by: OpenCode unroll by another factor of 2 Assisted-by: OpenCode Website: https://llama.app Attestations: ht

b11490

hexagon: enable alloc_buffer_n (#30126) hex-bufs: add support for alloc_buffer_n hex-bufs: add support for splitting large tensors into separate buffers hex-bufs: update GGML_HEXAGON_MBUF to accept th

b11491

sycl: remove duplicate block-size defines from op headers (#29507) All were duplicates of the values in ggml/src/ggml-sycl/presets.hpp Website: https://llama.app Attestations: https://github.com/ggml-

b11493

sycl: add grouped MoE XMX GEMM (#29245) Co-authored-by: cwriter cwriter@localhost Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/53864714 macOS/iOS: macOS

b11497

sycl: fuse the delta-net alpha gate (add + unary + mul) (#29687) sycl: fuse the delta-net alpha gate (add + unary + mul) tests: cover the fused add + unary + mul chain sycl: give the fused alpha gate

b11498

CUDA: fix norm family kernels when ne[2]/ne[3] exceed grid dim limits (#28175) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/53919465 macOS/iOS: macOS App

b11499

cuda : Use byte strides for roll to allow non-contiguous ROLL operations (#29547) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/53926988 macOS/iOS: macOS

b11500

hex-mmadd: do not assume aligned read/write when bias-add is fused (#30133) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/53932639 macOS/iOS: macOS Apple

b11501

sycl: FWHT optimizations (#29605) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/53938516 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64

b11503

vendor : update cpp-httplib to 0.60.1 (#30134) Signed-off-by: Adrien Gallouët angt@huggingface.co Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/53949333 m

b11505

vulkan : fix TOP_K for +inf/NaN inputs and k = 1 on negative values (#30107) The bucket search in topk_nary_search.comp started from the range [0, 0xFF800000), which ends just below the ordered-uint m

b11507

llama: support MoE cache over multiple GPUs (#30112) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/53988921 macOS/iOS: macOS Apple Silicon (arm64) macOS A

b11509

CUDA: fix CCCL version guard breaking on major version rollover (#29453) CUDA: fix CCCL version guard breaking on major version rollover The guard compared the major and minor components independently

b11510

CUDA : looped PAD kernel for more than 65535 rows or slices (#30147) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/54006924 macOS/iOS: macOS Apple Silicon

b11511

CUDA: fix MMQ out-of-bounds reads (#29953) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/54029251 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silic

b11512

model : fix DFlash output head sharing (#30111) llama : fix DFlash output head sharing Assisted-by: Codex dflash : read tied output weights from GGUF metadata Assisted-by: Codex llama : share tied wor

b11513

CUDA: improve top-k algorithm selection (#28713) CUDA: radix top-k for large row counts Replaces CUB's per-row DeviceTopKKernel with a grid-over-rows radix select, gated on GGML_CUDA_TOPK_RADIX_MIN_RO

b11514

Musa FWHT fix (#30167) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/54083178 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI

BagDINO: Multi-View Baggage Re-Identification with DINOv3

arXiv:2610.10160v1 Announce Type: new Abstract: Mishandled checked baggage remains a recurrent issue in airport operations, and current recovery workflows still largely rely on tag-based tracking, whi

BanglaRhet: Benchmarking Classical and Transformer Models for Rhetorical and Persuasion Detection in Bangla Political Speech

arXiv:2610.09464v1 Announce Type: new Abstract: Political discourse often uses rhetorical and persuasive language to frame narratives, influence public opinion, and mobilize audiences. While Bangla na

BEACON-SP: Ontology-Grounded GraphRAG Framework for Clinical Suicide Risk Assessment

arXiv:2610.09026v1 Announce Type: cross Abstract: We present BEACON-SP, an ontology-grounded Graph Retrieval-Augmented Generation (GraphRAG) framework for clinician-facing decision support in behavior

Benchmarking Behavioral Steerability in Behavior Foundation Models

model-releasesarxiv-cs-ro

arXiv:2610.10198v1 Announce Type: new Abstract: Behavior Foundation Models (BFMs) are emerging as a paradigm for translating human intentions into executable humanoid behaviors. As these models evolve

Best current R9700 inference engine?

model-releasesr-localllama

There are way too many forks to keep track of, so I've gotten lost. As far as I can tell, Radiance VLLM is best for models that fit in GPUs while some form of llama.cpp is probably best for MOE RAM-sp

Best practices when running a benchmark on online models [D]

model-releasesr-machinelearning

I'm developing a benchmark for a low resource language and I don't want it to be leaked and used for training when it is being used to get predictions. For locally run models it shouldn't be a problem

Beyond Anonymous Captions: Grounding Character Identity in Video Captioning and Question Answering

arXiv:2610.10163v1 Announce Type: new Abstract: Linking people's appearance and actions to character identities is essential for understanding video narratives. We present a framework for identity-awa

Bi-CamoDiffusion: A Boundary-informed Diffusion Approach for Camouflaged Object Detection

arXiv:2603.13357v2 Announce Type: replace Abstract: Bi-CamoDiffusion is introduced, an evolution of the CamoDiffusion framework for camouflaged object detection. It integrates edge priors into early-s

Big new paper nobody is talking about ‼️ 🌎 Robot world models now have scaling laws. Meta trained an 8B-parameter JEPA on 15,000 hours of r…

model-releasesyann-lecun--x

Big new paper nobody is talking about ‼️ 🌎 Robot world models now have scaling laws. Meta trained an 8B-parameter JEPA on 15,000 hours of robot video to prove it. RoboJEPA (FAIR at Meta + Mila) imagin

Bookkeeping, Composition, or Unreachable Gold? Reading MemoryAgentBench's Conflict-Resolution Scores Against a Frozen Last-Write Resolver

arXiv:2610.09193v1 Announce Type: cross Abstract: MemoryAgentBench's Conflict Resolution split is read as measuring 'selective forgetting'. We execute the benchmark's own rule - the newest statement a

Boosting and the Expressive Power of Simple Weak Learners via the gamma-VC Dimension

arXiv:2610.10383v1 Announce Type: new Abstract: Boosting converts weak hypotheses with a small edge over random guessing into highly accurate predictors, but the expressive power of the resulting clas

BoT-GRPO: Efficient Process-Reward RL for Reasoning via Bag-of-Token Aggregation

arXiv:2610.09804v1 Announce Type: new Abstract: Reinforcement learning is now central to eliciting reasoning in large language models, while in the popular algorithm Group Relative Policy Optimization

Boundary-Free Contextual Biasing: Depth-Adaptive Gating and Reading-Space Matching for Unsegmented Languages

arXiv:2610.09467v1 Announce Type: cross Abstract: Contextual biasing supplies an ASR system with a list of expected words at inference time, but existing methods rely on word boundaries that Japanese

Bounded Autonomy and Verifiable Safety for Agentic AI Enabled Automation

arXiv:2610.08815v1 Announce Type: new Abstract: Agentic AI-enabled automation cannot be safely deployed in high-stakes environments on probabilistic reasoning alone. A recurring risk is epistemic drif

Bridge Routing Heads: Where Multilingual Multi-hop Reasoning Lives in LLMs

arXiv:2610.09733v1 Announce Type: new Abstract: Multilingual LLMs answer the same multi-hop reasoning question across languages, but we lack a mechanistic account of whether they share an internal cir

Cache the Encoder Within:Compact, Reusable Memory across LLM Queries

arXiv:2610.10058v1 Announce Type: new Abstract: Repeated queries over shared documents incur redundant encoding, while caching model states introduces persistent storage costs. Building on CoMem's int

Can any open-weight models handle a decomp/recomp project yet?

model-releasesr-localllama

Opus5.5, Sol6.1, Fable, and Astra have all proven they can and the scene has exploded this past week. Part of that is from the tools and feedback loops maturing though. Are any open weight models (at

CARE: Certifying Acceleration for Vision-Language-Action Inference

arXiv:2610.08917v1 Announce Type: new Abstract: While vision-language-action (VLA) models have advanced rapidly, running them at every control step remains expensive. Prior work accelerates VLA infere

CARES: A Controlled Synthetic Benchmark of Speaker Reactions to Sound

arXiv:2610.10208v1 Announce Type: cross Abstract: Automatic audio scene description turns a recording into a text account of a situation. One difficulty is deciding which elements of the audio should

Causal Posterior Estimation

arXiv:2505.21468v2 Announce Type: replace Abstract: We present Causal Posterior Estimation (CPE), a novel method for Bayesian inference in simulator models, where evaluating the likelihood function is