All entries

arXiv:2605.20158v1 Announce Type: cross Abstract: Large Vision Language Models (LVLMs) show promise in medical applications, but their inability to faithfully ground responses in visual evidence raise

local-aiarxiv-cs-ai

Content type

All Blog X Post Paper YouTube Reddit GitHub

Retrieval-Augmented Generation for Natural Language Processing: A Survey

DGX agent

arXiv:2407.13193v4 Announce Type: replace Abstract: Large language models (LLMs) have achieved strong empirical performance in various fields, benefiting from their huge amount of parameters that stor

model-releasesarxiv-cs-cl

20 May 2026

Retrieval-Augmented Linguistic Calibration

arXiv:2605.19344v1 Announce Type: new Abstract: Linguistic cues such as 'I believe' and 'probably' offer an intuitive interface for communicating confidence, yet a generalisable, principled calibratio

researcharxiv-cs-cl

Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method

arXiv:2605.18766v1 Announce Type: cross Abstract: Retrieving relevant tables from extensive databases for a given natural language query is essential for accurately answering questions in tasks such a

Return of Frustratingly Easy Unsupervised Video Domain Adaptation

arXiv:2605.19510v1 Announce Type: new Abstract: Unsupervised video domain adaptation (UVDA) is a practical but under-explored problem. In this paper, we propose a frustratingly easy UVDA method, calle

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents

arXiv:2605.20061v1 Announce Type: new Abstract: Reinforcement learning from verifiable rewards (RLVR) is a promising paradigm for improving large language model (LLM) agents on long-horizon interactiv

safetyarxiv-cs-cl

Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model Behavior

model-releasesarxiv-cs-cl

arXiv:2510.14261v2 Announce Type: replace Abstract: We present an experimental recipe for studying the relationship between training data and language model (LM) behavior. We outline steps for interve

Riemannian Networks over Full-Rank Correlation Matrices

arXiv:2605.19073v1 Announce Type: cross Abstract: Representations on the Symmetric Positive Definite (SPD) manifold have garnered significant attention across different applications. In contrast, the

Agents

Riverbed adds agentic AI, session replay and AI observability to Aternity platform

Digital employee experience company Riverbed Technology LLC today rolled out six additions to its Aternity Experience Platform that the company says move enterprise information technology closer to au

agentssiliconangle

RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning

arXiv:2605.19033v1 Announce Type: cross Abstract: Supervised open-loop training has been widely adopted for training traffic simulation models; however, it fails to capture the inherently dynamic, mul

RoboJailBench: Benchmarking Adversarial Attacks and Defenses in Embodied Robotic Agents

model-releasesarxiv-cs-ro

arXiv:2605.19328v1 Announce Type: cross Abstract: Recent advances in Vision-Language Models (VLMs) facilitate a new class of embodied AI systems, where these models are integrated into physical platfo

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields

arXiv:2412.02818v4 Announce Type: replace-cross Abstract: Robot manipulation policies, while central to the promise of physical AI, are highly vulnerable in the presence of external variations in the

safetyarxiv-cs-lg

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains

arXiv:2605.19940v1 Announce Type: new Abstract: Foundation models are increasingly deployed in socially sensitive domains such as education, mental health, and caregiving, where failures are often cum

Robots that learn to evaluate models of collective behavior

model-releasesarxiv-cs-ro

arXiv:2604.07303v2 Announce Type: replace Abstract: Understanding and modeling animal behavior is essential for studying collective motion, decision-making, and bio-inspired robotics. Yet, evaluating

Robust Basis Spline Decoupling for the Compression of Transformer Models

model-releasesarxiv-cs-ai

arXiv:2605.18794v1 Announce Type: cross Abstract: Decoupling is a powerful modeling paradigm for representing multivariate functions as compositions of linear transformations and univariate nonlinear

Agents

Robust Checkpoint Selection for Multimodal LLMs via Agentic Evaluation and Stability-Aware Ranking

arXiv:2605.18852v1 Announce Type: cross Abstract: Checkpoint selection for multimodal large language models (MLLMs) presents significant challenges when performance differentials are marginal and eval

agentsarxiv-cs-ai

Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation

arXiv:2605.19230v1 Announce Type: new Abstract: Age dependent performance disparities in medical image classification often arise because age acts as a confounder, linking imaging morphology with dise

Robustness and Regularization in Hierarchical Re-Basin

arXiv:2510.09174v3 Announce Type: replace Abstract: This paper takes a closer look at Git Re-Basin, an interesting new approach to merge trained models. We propose a hierarchical model merging scheme

researcharxiv-cs-lg

Rockets need a hug too! Starship becoming fully reusable is our ticket to Kardashev civilization.

SpaceX's development of a fully reusable Starship vehicle could significantly reduce launch costs and enable the scale of space infrastructure necessary for humanity to achieve Type I Kardashev civili

industryelon-musk--x

RoHIL: Robust Human-in-the-Loop Robotic Reinforcement Learning Against Illumination Variations

arXiv:2605.19924v1 Announce Type: new Abstract: Human-in-the-loop reinforcement learning systems achieve near-perfect success on the workstation where they are trained, but collapse when the same robo

safetyarxiv-cs-ro

RoomPilot: Controllable Indoor Scene Synthesis via Multimodal Semantic Parsing

arXiv:2512.11234v2 Announce Type: replace Abstract: Generating controllable indoor scenes is fundamental to applications in game development, architectural visualization, and embodied AI. However, exi

Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model Inference

arXiv:2605.19218v1 Announce Type: cross Abstract: Vision-Language Models suffer severe KV cache pressure at inference, as a single image often encodes into thousands of tokens. Most existing methods e

RoVLA: Multi-Consistency Constraints for Robust Vision-Language-Action Models

arXiv:2605.19678v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have shown strong performance on embodied manipulation, yet they remain brittle under visual observation changes, pa

safetyarxiv-cs-ro

Russia's plan to advertise on rockets and spacecraft takes off

Russia's state space corporation Roscosmos has begun placing commercial advertising on space launch rockets amid declining revenues and the loss of foreign partners. Since the beginning of 2026, rocke

industryars-technica

Applications

Russia's Sberbank says it hopes to use Chinese chips to power its flagship GigaChat AI model, as sanctions continue to block the country's access to hardware (Reuters)

Reuters: Russia's Sberbank says it hopes to use Chinese chips to power its flagship GigaChat AI model, as sanctions continue to block the country's access to hardware — Russia hopes to power its flags

applicationstechmeme

Hardware

'Ryzen 5800X3D 10th Anniversary Edition' may help you avoid paying for a new PC

AMD is preparing an AM4 10th Anniversary Edition Ryzen 7 5800X3D for Q2 2026 launch, reviving its popular Zen 3 X3D chip with the same core specifications but updated packaging. The move is framed as

hardwarears-technica

S. 'Soma' Somasegar, who led Microsoft's Developer Division for 12 years as part of his 27-year tenure at the company before leaving in 2015, has died at age 59 (Todd Bishop/GeekWire)

Todd Bishop / GeekWire: S. “Soma” Somasegar, who led Microsoft's Developer Division for 12 years as part of his 27-year tenure at the company before leaving in 2015, has died at age 59 — S. “Soma” Som

industrytechmeme

Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints

arXiv:2605.18842v1 Announce Type: new Abstract: Safe reinforcement learning in nonstationary environments requires safety mechanisms that adapt as environmental conditions change. Standard safe reinfo

safetyarxiv-cs-lg

SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous Driving

arXiv:2605.19524v1 Announce Type: cross Abstract: End-to-end autonomous driving systems excel in common scenarios but struggle with safety-critical long-tail cases. Vision-Language-Action (VLA) models

safetyarxiv-cs-cv

SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction

model-releasesarxiv-cs-lg

arXiv:2605.19014v1 Announce Type: new Abstract: Microsimulation models used by ministries of finance and central banks rely on parametric processes for lifetime earnings that capture only first and se

SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection

arXiv:2605.20157v1 Announce Type: new Abstract: Music streaming fraud, where bad actors artificially inflate stream counts to manipulate chart rankings and royalty payments, poses a significant threat

safetyarxiv-cs-lg

SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs

arXiv:2605.18864v1 Announce Type: cross Abstract: Recent studies observe that reinforcement learning with verifiable rewards (RLVR) reliably improves pass@1 on reasoning tasks, yet often fails to yiel

Sam Altman says OpenAI offered to invest $2M in tokens in each startup in the current YC batch; a source says the offer is in exchange for equity via SAFE (Jemima McEvoy/The Information)

Jemima McEvoy / The Information: Sam Altman says OpenAI offered to invest 2M in tokens in each startup in the current YC batch; a source says the offer is in exchange for equity via SAFE — OpenAI cofo

industrytechmeme

Sampling-Based Safe Reinforcement Learning

arXiv:2605.19469v1 Announce Type: cross Abstract: Safe exploration remains a fundamental challenge in reinforcement learning (RL), limiting the deployment of RL agents in the real world. We propose Sa

Samsung Electronics and its South Korean labor union reach a preliminary pay deal; the union says it has suspended a general strike and put the deal to a vote (Reuters)

Reuters: Samsung Electronics and its South Korean labor union reach a preliminary pay deal; the union says it has suspended a general strike and put the deal to a vote — Samsung Electronics (005930.KS

industrytechmeme

SCAFDS: Edge-Feature Graph Attention for Interbank Fraud Detection with Attribution-Grounded SAR Generation

arXiv:2605.18913v1 Announce Type: cross Abstract: The U.S. financial system processes approximately 1.3 million interbank transactions daily, yet no system in the reviewed literature models fraud prop

Applications

Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection

arXiv:2605.19360v1 Announce Type: new Abstract: The rapid proliferation of AI-generated visual media has created an urgent need for efficient, trustworthy deepfake detection systems. However, existing

applicationsarxiv-cs-cv

Scaling Evaluation-time Compute with Reasoning Models as Evaluators

arXiv:2503.19877v2 Announce Type: replace Abstract: As language model (LM) outputs get more and more natural, it is becoming more difficult than ever to evaluate their quality. Simultaneously, increas

researcharxiv-cs-cl

Tools

Scaling Reinforcement Learning at Applied Compute

This article discusses how Applied Compute leverages Modal's infrastructure to scale reinforcement learning workloads, likely covering the technical implementation of distributed RL training, computat

toolsmodal-blog

Scene-Action Prompt Fusion for Coherent Text-to-Video Storytelling

arXiv:2503.06310v4 Announce Type: replace Abstract: Generating coherent long-form video sequences from discrete text prompts remains challenging due to difficulties in maintaining temporal coherence,

safetyarxiv-cs-cv

SceneCode: Executable World Programs for Editable Indoor Scenes with Articulated Objects

arXiv:2605.19587v1 Announce Type: new Abstract: Indoor scene synthesis underpins embodied AI, robotic manipulation, and simulation-based policy evaluation, where a useful scene must specify not only w

ScheduleFree+: Scaling Learning-Rate-Free & Schedule-Free Learning to Large Language Models

model-releasesarxiv-cs-ai

arXiv:2605.19095v1 Announce Type: cross Abstract: Schedule-Free Learning has shown promise as a practical anytime training method for machine learning, showing success across dozens of standard benchm

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models

model-releasesarxiv-cs-cl

arXiv:2605.19357v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly applied to scientific research, yet existing evaluations often fail to reflect the fine-grained capabiliti

SEAL: Semantic Aware Image Watermarking

arXiv:2503.12172v4 Announce Type: replace-cross Abstract: Generative models have rapidly evolved to generate realistic outputs. However, their synthetic outputs increasingly challenge the clear distin

Search Self-play: Pushing the Frontier of Agent Capability without Supervision

model-releasesarxiv-cs-lg

arXiv:2510.18821v3 Announce Type: replace Abstract: Reinforcement learning with verifiable rewards (RLVR) has become the mainstream technique for training LLM agents. However, RLVR highly depends on w

Tutorials

See MiniMax Speech 2.8 Turbo in voice finder and try the voices directly: https://voicefinder.together.ai/minimax--speech-2.8-turbo Learn mo…

MiniMax Speech 2.8 Turbo is a text-to-speech model available through Together AI's voice finder tool at voicefinder.together.ai, allowing users to preview and test different voice options directly. Th

tutorialstogether-ai--x

Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation

arXiv:2605.19340v1 Announce Type: new Abstract: Vision foundation models (VFMs) have achieved strong performance across various vision tasks. However, it still remains challenging to apply VFMs for cr

Self-assembling Modular Aerial Robot for Versatile Aerial Tasks

arXiv:2605.19431v1 Announce Type: new Abstract: Multirotor aerial robots excel at maneuvering in three-dimensional space, and recent advances enable nimble navigation in cluttered and confined environ

researcharxiv-cs-ro