Creative capabilities of MLLMs matter in design, communication, education, and human--AI collaboration, yet remain difficult to evaluate because explicit targets and reward signals are scarce compared…
Personality-conditioned LLM agents (PC-Agents) are increasingly used in emotional support, social simulation, and role-playing, motivating the development of lifelong agents that remain coherent over extended interactions.…
Audio reasoning is essential for machine understanding of the acoustic world. Reinforcement learning with verifiable rewards can elicit such reasoning, yet existing reward designs are complementary…
LLM-based agents are rapidly advancing, autonomously invoking external tools to complete multi-step tasks for users. However, agents often acquire more sensitive information than the task requires.…
RT Nikita BierThe hardest part about hiring great leaders for X is that you need someone who can be an outstanding voice on the platform --…
I also have 64 gb ddr4 ryzen 5600 Using llama.cpp Ubuntu distro Settings are as follows --n-gpu-layers 999 --n-cpu-moe 37 --no-mmap -ctk q8_0 -ctv q8_0 -fa…
RT Sakana AIJST-CRDS（科学技術振興機構 研究開発戦略センター）のショートレポートに、Sakana AIのAI Scientistが、日本発の代表的な取り組みとして取り上げられました。https://www.jst.go.jp/crds/column/kaisetsu/shortreport2.html同レポートは、科学研究におけるAIエージェントの現在地を、国内外の取り組みも交えて整理いただいています。AI Scientistについては、研究アイデアの生成、文献探索、コード作成、計算実験、データ解析、図表作成、論文執筆、査読までを一連の流れとして実行するシステムとして紹介されています。AI Scientistの一
Article URL: https://www.economist.com/asia/2026/08/06/the-philippines-big-offshoring-industry-is-growing-despite-ai Comments URL: https://news.ycombinator.com/item?id=49239226 Points: 7 # Comments: 5
VLX-Seek-1.5-10B VLX-Seek-1.5-10B is the open-source 10B model in the VLX-Seek 1.5 family, designed for fine-grained perception and visual grounding in embodied scenarios. It targets practical settings…
Typical "oh, if only you were a bit bigger" moment with Flash-0731Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞): «Flash is as honest as a child, and as…
Aiming for RTX 6000 like performance at 25% of the cost. https://preview.redd.it/mi6fqpdd5hih1.png?width=631&format=png&auto=webp&s=9a639bcc79c7eb0a3834a88317220c289b7a52b6 2x3090s in tensor parallelism, then put those two in a pipeline feeding into another…
Article URL: https://www.nber.org/papers/w35560 Comments URL: https://news.ycombinator.com/item?id=49239095 Points: 37 # Comments: 11
👀 Seeing is just the beginning.With Qwen-MM-Plugins, turn your favorite agent harness multimodal-native — read images, videos & documents, edit videos, work with 3D/CAD, and more.From…
Autoregressive models accumulate error over long rollouts, yet at deployment there is no ground truth to measure it against. We train a single conditional latent diffusion…
Generic parameter-efficient fine-tuning (PEFT) methods transferred from language models can fail silently on real-time detectors, whose heterogeneous operators and detection-specific components impose placement constraints absent from…
Privileged on-policy distillation provides dense supervision for multi-turn agents by allowing a synchronized teacher to re-score the student's response at every turn with access to training-only…
arXiv:2608.06971v1 Announce Type: new Abstract: This paper introduces Mixtures of Geodesic Factor Analyzers (MGFA) on Riemannian homogeneous spaces. MGFA uses a geodesic factor model within each…
arXiv:2601.20152v3 Announce Type: replace-cross Abstract: We study concentration inequalities for structured weighted sums of random data, including (i) tensor inner products and (ii) sequential matrix sums.…
arXiv:2606.08202v2 Announce Type: replace Abstract: Most statistical and machine learning methods for directed interactions focus on pairwise effects among variables. Even existing cyclic models represent feedback…
arXiv:2512.12748v2 Announce Type: replace-cross Abstract: Markov Chain Monte Carlo (MCMC), Laplace approximation (LA) and variational inference (VI) methods are popular approaches to Bayesian inference, each with…
arXiv:2511.03963v3 Announce Type: replace Abstract: We introduce a density-power weighted variant of the Stein operator, called the $gamma$-Stein operator, for robust inference with unnormalized probability models.…
arXiv:2510.03634v2 Announce Type: replace-cross Abstract: PRTree is an R package for fitting Probabilistic Regression Trees (PRTrees), a class of regression trees that replaces deterministic splits with…
arXiv:2409.18804v3 Announce Type: replace Abstract: Denoising Diffusion Probabilistic Models (DDPM) are powerful state-of-the-art methods used to generate synthetic data from high-dimensional data distributions and are widely…
arXiv:2501.15790v2 Announce Type: replace-cross Abstract: Synthetic minority oversampling is typically designed and evaluated against a predictive objective, generating samples that improve downstream classification. This paper pursues…