Search: “model-releases”

A Primer on Computational Semantics for Artificial Intelligence Systems

arXiv:2608.25022v1 Announce Type: new Abstract: As people adopt transformer-based language models (e.g., ChatGPT and Gemini) for an increasing number of use-cases, it is important to know how such mod

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Model Releases

A Self-Evolving Multi-Agent Framework Defense against LLM Jailbreak Attacks

DGX agent

arXiv:2608.26008v1 Announce Type: cross Abstract: Large language models (LLMs) remain vulnerable to jailbreak attacks that exploit techniques such as role-playing, obfuscation, code transformation, an

model-releasesarxiv-cs-cl

27 Aug 2026

A Statistical Audit of Physical AI Benchmark Redundancy

model-releasesarxiv-cs-ro

arXiv:2608.25940v1 Announce Type: new Abstract: Physical AI models are evaluated on suites of benchmarks that differ across model reports, leaving the model-by-benchmark matrix sparse and the relation

A Storage-Retrieval Gap in Parametric Knowledge Graph Memory

arXiv:2608.25489v1 Announce Type: cross Abstract: Graph retrieval-augmented generation places retrieved subgraphs into the model's context window at query time, paying a recurring token cost and expos

A US judge blocks the Pentagon from blacklisting Anthropic, ruling that its designation as a supply-chain risk was 'illegal and baseless' (Jack Queen/Reuters)

Jack Queen / Reuters: A US judge blocks the Pentagon from blacklisting Anthropic, ruling that its designation as a supply-chain risk was “illegal and baseless” — A U.S. judge on Thursday blocked the P

model-releasestechmeme

Activation-Space Order-Swap Geometry: A Site-Asymmetry Audit

arXiv:2608.25315v1 Announce Type: new Abstract: Order-dependent activation statistics are often interpreted as evidence of interaction, but that interpretation can be confounded by where interventions

Adaptive Hybrid Subspace Levenberg Marquardt Algorithm with Adequacy Monitor for Large Scale Least Squares Problems

arXiv:2608.25524v1 Announce Type: cross Abstract: The Levenberg-Marquardt (LM) algorithm is the most widely used method for solving nonlinear least-squares problems, as it combines the robustness of s

Adaptive Regularization for Random Features: A Neighboring Early-Stopping Rule with Oracle-Rate Guarantees

arXiv:2608.25513v1 Announce Type: cross Abstract: Random feature methods provide a scalable approximation to kernel ridge regression (KRR), but the regularization parameter that yields the oracle lear

AdaVDR: Adaptive Tool Use and Reflection for Video Deep Research

arXiv:2608.25559v1 Announce Type: new Abstract: Video deep research answers complex questions by jointly understanding video content and retrieving external knowledge from the open Web. However, diver

AFDBench: A Reasoning-First AI Scientist for NationalWeather Service Forecast Discussions

arXiv:2608.24954v1 Announce Type: new Abstract: Large language models (LLMs) hallucinate numerical values when generating high-stakes meteorological text, posing risks for weather communication. We pr

Agent Arena Code - Very good result (preliminary) for GLM and Qwen!

model-releasesr-localllama

Everything has changed in two months: DS4 0731 flash was the start of a wave that is taking open weights to paradise. It is easy to think that Qwen 4 and GLM 6 will be on par with Mythos. submitted by

Agentic Autoresearch for Cell-Edge Power Control: Radically Redefining the Researcher's Role

arXiv:2608.26093v1 Announce Type: new Abstract: Designing machine learning algorithms for wireless resource management is labour-intensive: the architecture, the loss function and the training recipe

AlgoTrace: Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models

arXiv:2510.15987v3 Announce Type: replace Abstract: How do inference time and latent computations enable large language models (LLMs) to solve multi-step reasoning problems? We introduce AlgoTrace, a

Anthropic releases findings from a pilot that let three external researchers run studies on Claude usage; one study found users delegate high-stakes tasks (Anthropic)

Anthropic: Anthropic releases findings from a pilot that let three external researchers run studies on Claude usage; one study found users delegate high-stakes tasks — Earlier this year, we ran a pilo

model-releasestechmeme

Asymmetric Cross-Modal Fine-Grained Visual Categorization: ACF-Net and the BirdPro Benchmark

arXiv:2608.25520v1 Announce Type: new Abstract: Audio-visual cross-modal Fine-Grained Visual Categorization (FGVC) aims to identify fine-grained categories by jointly leveraging visual and auditory in

b10643

hexagon: support for multi-NPU devices (IQ9, IQ10) and fully asynchronous backend (#26501) hexagon: use non-host bufs by default and make the backend fully async hex-hb: remove optional hostbuf suppor

b10644

models : support nanbeige4.2-3B (#27730) Co-authored-by: admin lizongqiang@kanzhun.com Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43308396 macOS/iOS: m

b10645

llama : add --n-cpu-ffn option (#26622) common : dedupe --n-cpu-moe / --spec-draft-n-cpu-moe override loops common : add --n-cpu-ffn to CPU-offload dense FFN weights of first N layers common : general

b10646

metal : fix memory leaks due to missing autoreleasepools (#27758) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43372015 macOS/iOS: macOS Apple Silicon (a

b10647

args: add --video-* CLI arguments (#24318) args: add --video-* CLI arguments gen docs nits add mtmd_helper_init_opt Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attes

b10648

model : simplify MiniMax-01 graph (#27790) Co-authored-by: Stanisław Szymczyk sszymczy@gmail.com Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43387702 ma

b10649

spec: Add benchmark-only synthetic speculative acceptance options (#27711) Add benchmark-only synthetic speculative acceptance to llama-server and llama-cli Address review comments Address review comm

b10653

llama: model_loader: add TENSOR_READ_LAZY (#27794) llama: model_loader: add TENSOR_GET_ROW_LAZY add --tensor-read-lazy rename to TENSOR_READ_LAZY gen docs address comments Website: https://llama.app A

b10655

Feature: Added LIGHTNING_INDEXER support for Deepseek V4 ops on Vulkan Backend (#27453) vulkan: add LIGHTNING_INDEXER op vulkan: updated lightning_indexer.comp and ggml-vulkan.cpp with 128-lane dot-pr

b10656

quantize: cap working memory size to avoid loading big tensors onto RAM (#27795) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43468853 macOS/iOS: macOS A

b10657

opencl: add bin kernels kernel_gemm_moe_q4_0_q8_1_dp4a_bin, kernel_gemm_moe_mxfp4_q8_1_dp4a_bin (#27768) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/434

b10658

spec : add DFlash2 support (local convolution + candidate selector) (#27342) (#27816) spec : add DFlash2 support (local convolution + candidate selector) (#27342) support DFlash2 Add p_min in DFlash2

b10659

ci : bundle HIP runtime DLLs with Windows ROCm release (#26973) Copy amdhip64_7, amd_comgr and rocm_kpack next to the binaries so the correct HIP runtime loads over the driver's copy in System32. Fixe

b10660

model: add Qwen3.8-Flash-Next (qwen4exp) (#27742) gguf: add qwen4exp (Qwen3.8-Flash-Next) arch and converter Adds the GGUF-side plumbing for HF model_type qwen4_exp: MODEL_ARCH.QWEN4EXP plus tensors f

b10661

ci : build only the ggml-hip backend for windows-rocm release (#27753) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43506547 macOS/iOS: macOS Apple Silic

b10662

server: add ctx-per-slot (--kv-unified-per-slot) (#24124) Add ctx-per-slot argument for unifid KV cache Swap out ctx fractions for ctx pool slots Formatting cleanup Remove ctx-pool-slots, make ctx-per

b10663

hex-unary: fix RMS_NORM_MUL weight-offset bugs for grouped/broadcast norms (#27798) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43526462 macOS/iOS: macO

b10664

ggml-hexagon: add HTP unary ops for ABS and LOG (#27786) Add HVX-accelerated implementations for GGML_OP_LOG and GGML_UNARY_OP_ABS on the HTP backend. Register HTP_OP_UNARY_ABS and HTP_OP_UNARY_LOG in

Ban&Pick: Enhancing Performance and Efficiency of MoE-LLMs via Smarter Routing

arXiv:2509.06346v3 Announce Type: replace Abstract: Sparse Mixture-of-Experts (MoE) has become a key architecture for scaling large language models (LLMs) efficiently. Recent fine-grained MoE designs

Beam Search, Self-Consistency, and the Limits of Inference-Time Scaling for Grammar-Constrained Text-to-SQL in Small Language Models

arXiv:2608.25761v1 Announce Type: new Abstract: One common trade-off in the use of large language models involves reducing the size of the model while increasing the amount of computation at inference

Breaking Claude Code Opus 5 Auto Mode

model-releasessimon-willison

Breaking Claude Code Opus 5 Auto Mode Anthropic are putting a great deal of faith in Claude Code's auto mode for protecting their coding agent users against prompt injection attacks. They recently mad

Can We Read the Mind of an Audio LLM? A Verbalizable, Multilingual Middle-Layer Workspace

arXiv:2608.24958v1 Announce Type: cross Abstract: An audio language model is a black box in a specific way: we see what it says, never what it works out on the way there, and chain-of-thought monitori

Can You Trust Frozen Hematology Foundation Models under Acquisition Shift?

arXiv:2608.25148v1 Announce Type: new Abstract: Frozen hematology foundation-model (FM) embeddings reach near-saturated in-domain white-blood-cell (WBC) accuracy, but clinical deployment demands relia

CaSKG: Counterfactual-Causal Skill Graphs for Scalable Agent Skill Retrieval

arXiv:2608.25500v1 Announce Type: cross Abstract: Reusable skill libraries allow large language model (LLM) agents to reuse procedural knowledge across tasks, but they also turn memory access into a c

Claude Desktop and connectors, plugins

I installed the Claude Desktop via the ollama Mac app. Unfortunately, no connectors or plugins can be installed or none are listed. Is that normal or is there no possibility there submitted by /u/amne

model-releasesr-ollama

Cohere's Chief AI Officer @jpineau1 has been named to this year's TIME 100AI list, recognizing the world's most influential people in artifi…

Cohere's Chief AI Officer @jpineau1 has been named to this year's TIME 100AI list, recognizing the world's most influential people in artificial intelligence. Joelle has been shaping modern research i

model-releasescohere--x

Consumer-focused AI assistant startup Instinct reportedly raising $250M

model-releasessiliconangle

Instinct, the developer of an artificial intelligence assistant popular among Silicon Valley tech workers, is reportedly raising 250 million in funding. The company told the Wall Street Journal on Wed

CoRE: Weakly Supervised Coarse-to-Fine Risk Evidence Learning in Driving Videos

arXiv:2608.25344v1 Announce Type: new Abstract: Perceived risk in driving evolves over time and may be supported by specific scene entities, yet supervision is typically limited to coarse video-level

CRAMER: Control via Request-Aware Masking for Editing Recommenders

arXiv:2608.25370v1 Announce Type: cross Abstract: Sequential recommendation models, while powerful, have limited flexibility in responding to immediate user requests, making it difficult to adapt thei

CropCop: An Auditable 120-Class Plant-Health Model from Benchmark Reconstruction to a Quantised Runtime Artifact

arXiv:2608.25539v1 Announce Type: new Abstract: A plant-health score can appear precise while resting on duplicated image families, a long-tailed label space, or a runtime file that was never evaluate

Cross-Dataset Stability of Expert-Informed Skill Prompting and Fine-Tuning for Chinese Metaphor Identification

arXiv:2608.25579v1 Announce Type: new Abstract: Metaphor-identification performance can change markedly across datasets that differ in text distribution and annotation policy. We examine whether a fix

CrossMambaTuning: Synergistic Spatial and Cross-Layer Adaptation for Machine Vision Compression

arXiv:2608.25568v1 Announce Type: new Abstract: To reduce deployment cost and retraining overhead, adapting pretrained learned image compression (LIC) models to downstream machine vision tasks has att

DeepSeek V4 0731 -> Qwen 3.8 Flash -> GLM 5.3 Flash (and back again!)

model-releasesr-localllama

Spent yesterday getting Qwen3.8 Flash and GLM 5.3 Flash up and running on my cluster of 4 x DGX Sparks with a view to replacing DeepSeek 0731... but.. really not that impressed with GLM 5.3 - overly v