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Fairness under uncertainty in sequential decisions

arXiv:2604.21711v1 Announce Type: cross Abstract: Fair machine learning (ML) methods help identify and mitigate the risk that algorithms encode or automate social injustices. Algorithmic approaches al

safetyarxiv-cs-ai

FairQE: Multi-Agent Framework for Mitigating Gender Bias in Translation Quality Estimation

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DGX agent

arXiv:2604.21420v1 Announce Type: new Abstract: Quality Estimation (QE) aims to assess machine translation quality without reference translations, but recent studies have shown that existing QE models

safetyarxiv-cs-ai

24 Apr 2026

FairyFuse: Multiplication-Free LLM Inference on CPUs via Fused Ternary Kernels

model-releasesarxiv-cs-lg

arXiv:2604.20913v1 Announce Type: new Abstract: Large language models are increasingly deployed on CPU-only platforms where memory bandwidth is the primary bottleneck for autoregressive generation. We

Fake or Real, Can Robots Tell? Evaluating VLM Robustness to Domain Shift in Single-View Robotic Scene Understanding

arXiv:2506.19579v3 Announce Type: replace-cross Abstract: Robotic scene understanding increasingly relies on Vision-Language Models (VLMs) to generate natural language descriptions of the environment.

Industry

Falcon Heavy

Falcon Heavy is SpaceX's heavy-lift launch vehicle, the most powerful operational rocket in the world, capable of carrying large payloads to orbit and beyond. The rocket uses three Falcon 9 first stag

industryelon-musk--x

Industry

FCC: Router ban includes portable hotspots, but not phones with hotspot features

The FCC has expanded its foreign-made router ban to also cover consumer Wi-Fi hotspots and LTE/5G home-internet devices, though existing products and phones with hotspot features are not affected. Cel

industryars-technica

Feature request for @huggingface - add a repository size option to the sort menu, I want to see the DeepSeek quantized models that take up t…

model-releasessimon-willison--x

Simon Willison requested that Hugging Face add a repository size sorting option to help users find and filter models by storage requirements, specifically mentioning interest in locating DeepSeek quan

Federated Co-tuning Framework for Large and Small Language Models

arXiv:2411.11707v3 Announce Type: replace-cross Abstract: By adapting Large Language Models (LLMs) to domain-specific tasks or enriching them with domain-specific knowledge, we can fully harness the c

Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge

arXiv:2510.04772v2 Announce Type: replace-cross Abstract: Developing generalizable surgical AI requires multi-institutional data, yet patient privacy constraints preclude direct data sharing, making F

Feel like very few serious people make the argument Britain should develop its own LLM? Certainly not an argument you see made in Westminste…

Feel like very few serious people make the argument Britain should develop its own LLM? Certainly not an argument you see made in Westminster often during the sovereignty debate. Also some other eyebr

researchyann-lecun--x

Finding Meaning in Embeddings: Concept Separation Curves

arXiv:2604.21555v1 Announce Type: new Abstract: Sentence embedding techniques aim to encode key concepts of a sentence's meaning in a vector space. However, the majority of evaluation approaches for s

researcharxiv-cs-cl

Fine-Grained Perspectives: Modeling Explanations with Annotator-Specific Rationales

arXiv:2604.21667v1 Announce Type: cross Abstract: Beyond exploring disaggregated labels for modeling perspectives, annotator rationales provide fine-grained signals of individual perspectives. In this

safetyarxiv-cs-ai

Fine-Tuning Regimes Define Distinct Continual Learning Problems

model-releasesarxiv-cs-lg

arXiv:2604.21927v1 Announce Type: new Abstract: Continual learning (CL) studies how models acquire tasks sequentially while retaining previously learned knowledge. Despite substantial progress in benc

FingerViP: Learning Real-World Dexterous Manipulation with Fingertip Visual Perception

arXiv:2604.21331v1 Announce Type: new Abstract: The current practice of dexterous manipulation generally relies on a single wrist-mounted view, which is often occluded and limits performance on tasks

safetyarxiv-cs-ro

Fixation Sequences as Time Series: A Topological Approach to Dyslexia Detection

arXiv:2604.21698v1 Announce Type: new Abstract: Persistent homology, a method from topological data analysis, extracts robust, multi-scale features from data. It produces stable representations of tim

researcharxiv-cs-cl

Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling

arXiv:2506.09998v2 Announce Type: replace-cross Abstract: Large language models (LLMs) can often accurately describe probability distributions using natural language, yet they still struggle to genera

safetyarxiv-cs-cl

Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis

model-releasesarxiv-cs-cv

arXiv:2510.04823v2 Announce Type: replace Abstract: Generating synthetic CT (sCT) from MRI or CBCT plays a crucial role in enabling MRI-only and CBCT-based adaptive radiotherapy, improving treatment p

FLUX.2 Klein Identity Feature Transfer Advanced

local-air-stablediffusion

This entry discusses conditioning enhancement and reference latent control for FLUX.2 Klein 9B in ComfyUI, built from empirical analysis of the model's dual-stream architecture. The Identity Feature T

Focus on What Matters: Fisher-Guided Adaptive Multimodal Fusion for Vulnerability Detection

arXiv:2601.02438v3 Announce Type: replace-cross Abstract: Software vulnerability detection can be formulated as a binary classification problem that determines whether a given code snippet contains se

For the last 72 hours since ml-intern launched we have had over 500+ autonomous AI research projects running on the Space at all times. Some…

model-releasesclem-delangue--x

For the last 72 hours since ml-intern launched we have had over 500+ autonomous AI research projects running on the Space at all times. Some insane ones I saw: 1. A new AI paradigm from scratch — tryi

for the record, i put 'undecided' as the last choice, not the second choice, @nikitabier sorry i know this is minor but it should be a 2 sec…

for the record, i put 'undecided' as the last choice, not the second choice, @nikitabier sorry i know this is minor but it should be a 2 second fix in cursor https://x.com/kr0der/status/20477027526678

model-releasesswyx--x

Forget, Then Recall: Learnable Compression and Selective Unfolding via Gist Sparse Attention

arXiv:2604.20920v1 Announce Type: new Abstract: Scaling large language models to long contexts is challenging due to the quadratic computational cost of full attention. Mitigation approaches include K

researcharxiv-cs-lg

Foveated Reasoning: Stateful, Action-based Visual Focusing for Vision-Language Models

arXiv:2604.21079v1 Announce Type: new Abstract: Vision-language models benefit from high-resolution images, but the increase in visual-token count incurs high compute overhead. Humans resolve this ten

researcharxiv-cs-cv

Industry

France's forecasting office refers suspected weather sensor tampering at Paris airport to police, after detecting unusual readings alongside Polymarket betting (Joe Wertz/Bloomberg)

Joe Wertz / Bloomberg: France's forecasting office refers suspected weather sensor tampering at Paris airport to police, after detecting unusual readings alongside Polymarket betting — France's foreca

industrytechmeme

Frequency-Forcing: From Scaling-as-Time to Soft Frequency Guidance

arXiv:2604.20902v1 Announce Type: cross Abstract: While standard flow-matching models transport noise to data uniformly, incorporating an explicit generation order - specifically, establishing coarse,

From Codebooks to VLMs: Evaluating Automated Visual Discourse Analysis for Climate Change on Social Media

model-releasesarxiv-cs-cv

arXiv:2604.21786v1 Announce Type: new Abstract: Social media platforms have become primary arenas for climate communication, generating millions of images and posts that - if systematically analysed -

From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation

arXiv:2604.21716v1 Announce Type: new Abstract: Prior work evaluates code generation bias primarily through simple conditional statements, which represent only a narrow slice of real-world programming

safetyarxiv-cs-cl

From Noise to Intent: Anchoring Generative VLA Policies with Residual Bridges

arXiv:2604.21391v1 Announce Type: cross Abstract: Bridging high-level semantic understanding with low-level physical control remains a persistent challenge in embodied intelligence, stemming from the

local-aiarxiv-cs-ai

From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation

arXiv:2509.23649v2 Announce Type: replace-cross Abstract: Generative recommendation, which directly generates item identifiers, has emerged as a promising paradigm for recommendation systems. However,

safetyarxiv-cs-cl

From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation

arXiv:2604.21910v1 Announce Type: new Abstract: Scientific workflow systems automate execution -- scheduling, fault tolerance, resource management -- but not the semantic translation that precedes it.

From Tokens to Concepts: Leveraging SAE for SPLADE

arXiv:2604.21511v1 Announce Type: cross Abstract: Learned Sparse IR models, such as SPLADE, offer an excellent efficiency-effectiveness tradeoff. However, they rely on the underlying backbone vocabula

researcharxiv-cs-cl

Frozen LLMs as Map-Aware Spatio-Temporal Reasoners for Vehicle Trajectory Prediction

arXiv:2604.21479v1 Announce Type: new Abstract: Large language models (LLMs) have recently demonstrated strong reasoning capabilities and attracted increasing research attention in the field of autono

local-aiarxiv-cs-cv

FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation Assessment

arXiv:2604.21321v1 Announce Type: new Abstract: Monitoring frying oil degradation is critical for food safety, yet current practice relies on destructive wet-chemistry assays that provide no spatial i

safetyarxiv-cs-cv

Full-Body Dynamic Safety for Robot Manipulators: 3D Poisson Safety Functions for CBF-Based Safety Filters

arXiv:2604.21189v1 Announce Type: new Abstract: Collision avoidance for robotic manipulators requires enforcing full-body safety constraints in high-dimensional configuration spaces. Control Barrier F

safetyarxiv-cs-ro

FunduSegmenter: Leveraging the RETFound Foundation Model for Joint Optic Disc and Optic Cup Segmentation in Retinal Fundus Images

arXiv:2508.11354v3 Announce Type: replace-cross Abstract: Purpose: This study introduces the first adaptation of RETFound for joint optic disc (OD) and optic cup (OC) segmentation. RETFound is a well-

Applications

GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering

arXiv:2506.04292v3 Announce Type: replace-cross Abstract: Purpose: We introduce GARG-AML, a fast and transparent graph-based method to catch `smurfing', a common money-laundering tactic. It assigns a

applicationsarxiv-cs-lg

GeCo: Evaluating Geometric Consistency for Video Generation via Motion and Structure

model-releasesarxiv-cs-cv

arXiv:2512.22274v2 Announce Type: replace Abstract: We introduce GeCo, a geometry-grounded metric for jointly detecting geometric deformation and occlusion-inconsistency artifacts in static scenes. By

Generalization Properties of Score-matching Diffusion Models for Intrinsically Low-dimensional Data

arXiv:2603.03700v2 Announce Type: replace-cross Abstract: Despite the remarkable empirical success of score-based diffusion models, their statistical guarantees remain underdeveloped. Existing analyse

Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning

arXiv:2604.21495v1 Announce Type: cross Abstract: Numerical reasoning over expert-domain tables often exhibits high in-domain accuracy but limited robustness to domain shift. Models trained with super

Generative Discovery of Magnetic Insulators under Competing Physical Constraints

arXiv:2604.21073v1 Announce Type: cross Abstract: Discovering materials that must simultaneously satisfy multiple competing constraints remains a central challenge in computational materials design, p

Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning

arXiv:2509.21976v3 Announce Type: replace-cross Abstract: Referring expression understanding in remote sensing poses unique challenges, as it requires reasoning over complex object-context relationshi

Geometric Characterisation and Structured Trajectory Surrogates for Clinical Dataset Condensation

model-releasesarxiv-cs-lg

arXiv:2604.21638v1 Announce Type: new Abstract: Dataset condensation constructs compact synthetic datasets that retain the training utility of large real-world datasets, enabling efficient model devel

Geometric Monomial (GEM): a family of rational 2N-differentiable activation functions

arXiv:2604.21677v1 Announce Type: cross Abstract: The choice of activation function plays a crucial role in the optimization and performance of deep neural networks. While the Rectified Linear Unit (R

Geometry-aided Vision-based Localization of Future Mars Helicopters in Challenging Illumination Conditions

arXiv:2502.09795v3 Announce Type: replace Abstract: Planetary exploration using aerial assets has the potential for unprecedented scientific discoveries on Mars. While NASA's Mars helicopter Ingenuity

local-aiarxiv-cs-cv

GeoMind: An Agentic Workflow for Lithology Classification with Reasoned Tool Invocation

arXiv:2604.21501v1 Announce Type: new Abstract: Lithology classification in well logs is a fundamental geoscience data mining task that aims to infer rock types from multi dimensional geophysical sequ

Applications

Geopolitical pressures and AI initiatives drive enterprise adoption of a sovereign-first cloud strategy

When a company such as Google LLP demonstrates leadership in large-scale data systems, advantages can begin to accrue in areas not readily apparent from the keynote speeches and press releases. One of

applicationssiliconangle

GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR

arXiv:2601.09361v3 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) is a key paradigm for improving large-scale reasoning models. Unlike supervised fine-tun

GerAV: Towards New Heights in German Authorship Verification using Fine-Tuned LLMs on a New Benchmark

model-releasesarxiv-cs-cl

arXiv:2601.13711v2 Announce Type: replace Abstract: Authorship verification (AV) is the task of determining whether two texts were written by the same author and has been studied extensively, predomin