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R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling

arXiv:2604.20316v1 Announce Type: new Abstract: Function calling empowers large language models (LLMs) to interface with external tools, yet existing RL-based approaches suffer from misalignment betwe

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Research

Rabies diagnosis in low-data settings: A comparative study on the impact of data augmentation and transfer learning

DGX agent

arXiv:2604.19823v1 Announce Type: cross Abstract: Rabies remains a major public health concern across many African and Asian countries, where accurate diagnosis is critical for effective epidemiologic

researcharxiv-cs-ai

23 Apr 2026

Radar Odometry Subject to High Tilt Dynamics of Subarctic Environments

arXiv:2604.19962v1 Announce Type: new Abstract: Rotating FMCW radar odometry methods often assume flat ground conditions. While this assumption is sufficient in many scenarios, including urban environ

researcharxiv-cs-ro

Applications

RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings

arXiv:2604.20256v1 Announce Type: new Abstract: A common strategy in transfer learning is few shot fine-tuning, but its success is highly dependent on the quality of samples selected as training examp

applicationsarxiv-cs-cl

Random Walk on Point Clouds for Feature Detection

arXiv:2604.20474v1 Announce Type: new Abstract: The points on the point clouds that can entirely outline the shape of the model are of critical importance, as they serve as the foundation for numerous

researcharxiv-cs-cv

RareSpot+: A Benchmark, Model, and Active Learning Framework for Small and Rare Wildlife in Aerial Imagery

arXiv:2604.20000v1 Announce Type: new Abstract: Automated wildlife monitoring from aerial imagery is vital for conservation but remains limited by two persistent challenges: the difficulty of detectin

Rashomon Sets and Model Multiplicity in Federated Learning

model-releasesarxiv-cs-lg

arXiv:2602.09520v2 Announce Type: replace Abstract: The Rashomon set captures the collection of models that achieve near-identical empirical performance yet may differ substantially in their decision

Reading this over and over is even better than sipping the finest of fine wine over and over.

Reading this over and over is even better than sipping the finest of fine wine over and over. 🚨DOJ says Southern Poverty Law Center funneled $3M+ to white supremacist and extremist groups like the KKK

industryelon-musk--x

Real-Time Initialization of Unknown Anchors for UWB-aided Navigation

arXiv:2506.15518v2 Announce Type: replace Abstract: This paper presents a framework for the real-time initialization of unknown Ultra-Wideband (UWB) anchors in UWB-aided navigation systems. The method

agentsarxiv-cs-ro

Really excellent work by the inference team to serve this model so efficiently! To a significant degree, we have to become an AI inference c…

Sam Altman praises the inference team's work on efficiently serving a model, suggesting that becoming proficient in AI inference is crucial to the field's progress. The post appears to highlight the t

industrysam-altman--x

ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability

model-releasesarxiv-cs-ai

arXiv:2508.07050v3 Announce Type: replace-cross Abstract: Large Language Model (LLM) based listwise ranking has shown superior performance in many passage ranking tasks. With the development of Large

Recency Biased Causal Attention for Time-series Forecasting

arXiv:2502.06151v2 Announce Type: replace-cross Abstract: Recency bias is a useful inductive prior for sequential modeling: it emphasizes nearby observations and can still allow longer-range dependenc

RefAerial: A Benchmark and Approach for Referring Detection in Aerial Images

arXiv:2604.20543v1 Announce Type: new Abstract: Referring detection refers to locate the target referred by natural languages, which has recently attracted growing research interests. However, existin

Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference

model-releasesarxiv-cs-lg

arXiv:2604.20775v1 Announce Type: new Abstract: Trajectory Inference (TI) seeks to recover latent dynamical processes from snapshot data, where only independent samples from time-indexed marginals are

Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem

arXiv:2604.20805v1 Announce Type: cross Abstract: The value alignment problem for artificial intelligence (AI) is often framed as a purely technical or normative challenge, sometimes focused on hypoth

Tutorials

Render-in-the-Loop: Vector Graphics Generation via Visual Self-Feedback

arXiv:2604.20730v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have shown promising capabilities in generating Scalable Vector Graphics (SVG) via direct code synthesis. Howev

tutorialsarxiv-cs-cv

Replicable Bandits with UCB based Exploration

arXiv:2604.20024v1 Announce Type: new Abstract: We study replicable algorithms for stochastic multi-armed bandits (MAB) and linear bandits with UCB (Upper Confidence Bound) based exploration. A bandit

Report: China's 360 Digital Security Group has uncovered ~1,000 previously unknown vulnerabilities, including in Microsoft's Office, using an AI-powered agent (Ryan Gallagher/Bloomberg)

Ryan Gallagher / Bloomberg: Report: China's 360 Digital Security Group has uncovered ~1,000 previously unknown vulnerabilities, including in Microsoft's Office, using an AI-powered agent — A large Chi

agentstechmeme

Representational Alignment Across Model Layers and Brain Regions with Multi-Level Optimal Transport

arXiv:2510.01706v2 Announce Type: replace-cross Abstract: Standard representational similarity methods align each layer of a network to its best match in another independently, producing asymmetric re

Resolving space-sharing conflicts in road user interactions through uncertainty reduction: An active inference-based computational model

arXiv:2604.19838v1 Announce Type: new Abstract: Understanding how road users resolve space-sharing conflicts is important both for traffic safety and the safe deployment of autonomous vehicles. While

RespondeoQA: a Benchmark for Bilingual Latin-English Question Answering

model-releasesarxiv-cs-cl

arXiv:2604.20738v1 Announce Type: new Abstract: We introduce a benchmark dataset for question answering and translation in bilingual Latin and English settings, containing about 7,800 question-answer

Rethinking Intrinsic Dimension Estimation in Neural Representations

arXiv:2604.20276v1 Announce Type: new Abstract: The analysis of neural representation has become an integral part of research aiming to better understand the inner workings of neural networks. While t

Rethinking Reinforcement Fine-Tuning in LVLM: Convergence, Reward Decomposition, and Generalization

arXiv:2604.19857v1 Announce Type: cross Abstract: Reinforcement fine-tuning with verifiable rewards (RLVR) has emerged as a powerful paradigm for equipping large vision-language models (LVLMs) with ag

safetyarxiv-cs-cl

Rethinking Where to Edit: Task-Aware Localization for Instruction-Based Image Editing

arXiv:2604.20258v1 Announce Type: new Abstract: Instruction-based image editing (IIE) aims to modify images according to textual instructions while preserving irrelevant content. Despite recent advanc

retinalysis-vascx: An explainable software toolbox for the extraction of retinal vascular biomarkers

arXiv:2602.08580v2 Announce Type: replace-cross Abstract: Automatic extraction of retinal vascular biomarkers from color fundus images (CFI) is crucial for large-scale studies of the retinal vasculatu

Retinex Meets Language: A Physics-Semantics-Guided Underwater Image Enhancement Network

arXiv:2603.07076v2 Announce Type: replace Abstract: Underwater images often suffer from severe degradation caused by light absorption and scattering, leading to color distortion, low contrast and redu

researcharxiv-cs-cv

Retrofitting Small Multilingual Models for Retrieval: Matching 7B Performance with 300M Parameters

arXiv:2510.14274v2 Announce Type: replace Abstract: Training effective multilingual embedding models presents unique challenges due to the diversity of languages and task objectives. Although small mu

researcharxiv-cs-cl

REVNET: Rotation-Equivariant Point Cloud Completion via Vector Neuron Anchor Transformer

arXiv:2601.08558v2 Announce Type: replace Abstract: Incomplete point clouds captured by 3D sensors often result in the loss of both geometric and semantic information. Most existing point cloud comple

RExBench: Can coding agents autonomously implement AI research extensions?

model-releasesarxiv-cs-cl

arXiv:2506.22598v3 Announce Type: replace Abstract: Agents based on Large Language Models (LLMs) have shown promise for performing sophisticated software engineering tasks autonomously. In addition, t

Rilian raises $17.5M to automate security software procurement and deployment in the defense sector

A startup called Rilian that’s building agentic systems integration tools for companies operating in the defense and national security industries, said today it has raised 17.5 million in seed funding

agentssiliconangle

Tutorials

Robust Out-of-Distribution Stochastic Optimization

arXiv:2604.20147v1 Announce Type: cross Abstract: Data-driven decision-making under uncertainty typically presumes the collection of historical data from an unknown target probability distribution. Ho

tutorialsarxiv-cs-lg

Robust Principal Component Completion

arXiv:2603.25132v2 Announce Type: replace Abstract: Robust principal component analysis (RPCA) seeks a low-rank component and a sparse component from their summation. Yet, in many applications of inte

researcharxiv-cs-cv

Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids

arXiv:2604.20403v1 Announce Type: new Abstract: Fault location in distribution grids is critical for reliability and minimizing outage durations. Yet, it remains challenging due to partial observabili

Rodrigues Network for Learning Robot Actions

arXiv:2506.02618v2 Announce Type: replace-cross Abstract: Understanding and predicting articulated actions is important in robot learning. However, common architectures such as MLPs and Transformers l

safetyarxiv-cs-cv

Round 2 for Max Agency! The Listen team know what they're doing. Check it out 👇

Round 2 for Max Agency! The Listen team know what they're doing. Check it out 👇 🎙️ Talked to @ListenLabs co-founder + CTO @florian_jue in the latest Max Agency. Really enjoyed hearing about the archit

agentsharrison-chase--x

RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Ranking

model-releasesarxiv-cs-ai

arXiv:2604.20623v1 Announce Type: cross Abstract: Traditional change detection identifies where changes occur, but does not explain what changed in natural language. Existing remote sensing change cap

Local Ai

⚡️⚡️Run Qwen3.6-27B locally! @UnslothAI

⚡️⚡️Run Qwen3.6-27B locally! @UnslothAI Qwen3.6-27B can now run locally! 💜 Run on 18GB RAM via Unsloth Dynamic GGUFs. Qwen3.6-27B surpasses Qwen3.5-397B-A17B on all major coding benchmarks. GGUFs: htt

local-aiqwen--x

Applications

running 3 async deepagents in parallel for real time investigation for manufacturing plant downtime. I believe these are the most capable ag…

applicationsharrison-chase--x

running 3 async deepagents in parallel for real time investigation for manufacturing plant downtime. I believe these are the most capable agents in the world right now @LangChain @hwchase17 @lguaman.

Runway meetup in Tokyo, Japan. Huge shoutout to Miho, Hero, and Yves for organizing a fantastic community get-together. Runway meetups are h…

industrycristobal-valenzuela--x

Runway meetup in Tokyo, Japan. Huge shoutout to Miho, Hero, and Yves for organizing a fantastic community get-together. Runway meetups are happening everywhere, we're getting closer to 100 meetups so

S-1 excerpts: SpaceX says its total addressable market could be as much as 28.5T, with 26.5T from the AI sector, most of it from AI for businesses (Reuters)

Reuters: S-1 excerpts: SpaceX says its total addressable market could be as much as 28.5T, with 26.5T from the AI sector, most of it from AI for businesses — Over the last quarter century, Elon Musk r

industrytechmeme

Sakana AIマグカップが届きました🐟🐟🐟 嬉しいですな🐟🐟🐟

David Ha shared an enthusiastic post about receiving a Sakana AI branded mug, expressing joy with fish emoji decorations. The post appears to be a personal social media update celebrating Sakana AI me

researchdavid-ha--x

Local Ai

SAKE: Self-aware Knowledge Exploitation-Exploration for Grounded Multimodal Named Entity Recognition

arXiv:2604.20146v1 Announce Type: cross Abstract: Grounded Multimodal Named Entity Recognition (GMNER) aims to extract named entities and localize their visual regions within image-text pairs, serving

local-aiarxiv-cs-cl

Salesforce and Google partner on agentic cross-platform collaboration

Salesforce Inc. said today it’s trying to break down the siloes that separate enterprise’s customer relationship management data from their productivity tools, specifically for artificial intelligence

agentssiliconangle

Same Content, Different Answers: Cross-Modal Inconsistency in MLLMs

arXiv:2512.08923v2 Announce Type: replace Abstract: We introduce two new benchmarks REST and REST+ (Render-Equivalence Stress Tests) to enable systematic evaluation of cross-modal inconsistency in mul

researcharxiv-cs-ai

SAMix: Calibrated and Accurate Continual Learning via Sphere-Adaptive Mixup and Neural Collapse

arXiv:2510.15751v2 Announce Type: replace Abstract: While most continual learning methods focus on mitigating forgetting and improving accuracy, they often overlook the critical aspect of network cali

safetyarxiv-cs-lg

Sampling-Aware Quantization for Diffusion Models

arXiv:2505.02242v2 Announce Type: replace Abstract: Diffusion models have recently emerged as the dominant approach in visual generation tasks. However, the lengthy denoising chains and the computatio

safetyarxiv-cs-cv

SAP reports Q1 revenue up 6% YoY to €9.56B, vs. €9.53B est., non-IFRS operating profit up 17% to €2.87B, cloud revenue up 19% to €5.96B; SAP up 10%+ after hours (Reuters)

Reuters: SAP reports Q1 revenue up 6% YoY to €9.56B, vs. €9.53B est., non-IFRS operating profit up 17% to €2.87B, cloud revenue up 19% to €5.96B; SAP up 10%+ after hours — Europe's largest software ma

industrytechmeme

Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models

arXiv:2604.19768v1 Announce Type: cross Abstract: Large language models (LLMs) exhibit systematic miscalibration with rhetorical intensity not proportionate to epistemic grounding. This study tests th

researcharxiv-cs-ai