All entries

Unified Motion Retargeting for Humanoids with Learned Point Cloud Correspondence

arXiv:2609.02134v1 Announce Type: new Abstract: Humanoid learning increasingly relies on transforming vast and diverse human motion data into high-quality robot reference trajectories. However, retarg

safetyarxiv-cs-ro

Content type

All Blog X Post Paper YouTube Reddit GitHub

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption

DGX agent

arXiv:2505.12912v2 Announce Type: replace Abstract: Pre-trained vision-language models, such as contrastive language-image pre-training (CLIP), have demonstrated a remarkable generalizability, enablin

researcharxiv-cs-cv

3 Sept 2026

Untangling the Mechanisms of Misleading Context in Medical Question Answering

arXiv:2609.02754v1 Announce Type: cross Abstract: Large language models now answer medical questions with expert-level performance. However, the context these systems act on can be misleading, and mis

User Feedback Provides a Unique Signal that LLMs Can not Detect

arXiv:2609.02859v1 Announce Type: new Abstract: Harnessing naturally occurring feedback from user interactions offers a promising learning signal for Large Language Models (LLMs). However, recent stud

safetyarxiv-cs-cl

Applications

Using Large Language Models for Legal Decision-Making in Austrian Value-Added Tax Law: A Comparative Study

arXiv:2507.08468v2 Announce Type: replace Abstract: This paper provides an experimental evaluation of the capability of large language models (LLMs) to assist in legal decision-making within the frame

applicationsarxiv-cs-cl

UTP-Bench: Uncertainty-aware Travel Planning Benchmark

arXiv:2609.02421v1 Announce Type: new Abstract: Large Language Models (LLMs) have recently demonstrated strong capabilities in automated travel itinerary generation. However, real- world travel planni

VakyArth: Evaluating Pragmatic Competence in LLMs across Indic Languages

arXiv:2609.01788v1 Announce Type: cross Abstract: Real-world communication often requires pragmatic reasoning: interpreting meanings implied through context and cultural convention rather than stated

Industry

Vals analysis: open-weight models performing multi-stage tasks, like building a web app, can have an environmental impact 10K times greater than simple queries (Bloomberg)

Bloomberg: Vals analysis: open-weight models performing multi-stage tasks, like building a web app, can have an environmental impact 10K times greater than simple queries — Benchmarker Vals AI finds t

industrytechmeme

Video-Based Palm-Vein Authentication under Challenging Conditions

arXiv:2609.02776v1 Announce Type: new Abstract: Palm-vein biometrics are increasingly used for secure, contactless authentication. Yet real-world deployment exposes them to surface noise (sweat, dirt)

Video Object Segmentation-Aware Audio Generation

arXiv:2509.26604v2 Announce Type: replace Abstract: Existing multimodal audio generation models often lack precise user control, which limits their applicability in professional Foley workflows. In pa

Video2Reaction: Training Foundation Video Models to Predict Audience Reaction

arXiv:2609.01816v1 Announce Type: new Abstract: We introduce Video2Reaction, a multimodal dataset that maps short movie segments to the induced emotional reactions of viewers in the wild, as expressed

VideoPulse: Neonatal heart rate and peripheral capillary oxygen saturation (SpO2) estimation from contact free video

arXiv:2602.23771v2 Announce Type: replace-cross Abstract: Remote photoplethysmography (rPPG) enables contact free monitoring of vital signs and is especially valuable for neonates, since conventional

safetyarxiv-cs-cv

VIPS: Vehicle-Infrastructure Cooperative Planning Benchmark via Pseudo-Simulation

arXiv:2609.02462v1 Announce Type: new Abstract: End-to-end autonomous driving in urban environments requires robust decision-making under partial observability and complex multi-agent interactions. Se

ViSAR: Training-Free Adaptive-k Retrieval for Visual Document Question Answering

arXiv:2609.02486v1 Announce Type: cross Abstract: Document Visual Question Answering (DocVQA) often leverages Retrieval-Augmented Generation (RAG), where late-interaction encoders are commonly used to

researcharxiv-cs-ai

Vision-Language Model for Accurate Crater Detection

arXiv:2601.07795v2 Announce Type: replace Abstract: The European Space Agency (ESA), driven by its ambitions on planned lunar missions with the Argonaut lander, has a profound interest in reliable cra

VoRTeC: Taming Foundation Flow for One-step Real time Video Compression

arXiv:2609.02291v1 Announce Type: cross Abstract: Ultra-low bitrate video compression still faces critical challenges: traditional neural video compression inevitably introduces blurring artifacts, wh

researcharxiv-cs-ai

Wake Vectoring for Efficient Morphing Flight

arXiv:2512.05211v2 Announce Type: replace Abstract: Morphing aerial robots have the potential to transform autonomous flight, enabling navigation through cluttered environments, perching, and seamless

agentsarxiv-cs-ro

WaveSync: Constrained Wavefront Optimization for Synchronized Co-Speech Gestures in Humanoid Robots

arXiv:2606.16600v2 Announce Type: replace Abstract: Expressive co-speech gestures are crucial for natural human--robot interaction, yet generating them on physical humanoid robots remains challenging

safetyarxiv-cs-ro

We built an open-source, model-neutral agent harness and compared it with claude managed agents - for the same model, got same accuracy, upto 75% lower cost

model-releasesr-localllama

We have been working on an open-source, model-neutral agent harness for general purpose agents called TrueForge, and wanted to understand how much the harness itself actually matters. So we ran 14 tas

Tools

We have secured nearly TWO MILLION DOLLARS IN TOKENS from leading labs. Lead by @AIatMeta as Founding Token Patron and joined by @AnthropicA…

We have secured nearly TWO MILLION DOLLARS IN TOKENS from leading labs. Lead by @AIatMeta as Founding Token Patron and joined by @AnthropicAI, @OpenAI, and @FireworksAI_HQ this is an incredible haul o

toolsfireworks-ai--x

Industry

We hit a little snag getting the blog post deployed, but it is really great: https://openai.com/index/gpt-6-astra/

On September 3, 2026 Sam Altman announced that the release of OpenAI’s blog post on **“GPT‑6 Astra: A new generation of intelligence”** experienced a brief deployment snag, yet he noted the content is

industrysam-altman--x

We need a better taxonomy for what people are calling 'continual learning'

model-releasesr-localllama

Continual learning isn't some fake term but a real goal and arguably one of the most important open ones in 2026. It roughly means: ‘building systems that keep acquiring useful knowledge or skills aft

WeatherNext 3 will begin enhancing weather experiences within Google Search, @GeminiApp, @googlemaps, @GMapsPlatform Weather API and @google…

model-releasesgoogle-ai--x

WeatherNext 3 will begin enhancing weather experiences within Google Search, @GeminiApp, @googlemaps, @GMapsPlatform Weather API and @googleearth Engine starting today Dive into the tech: https://blog

WeaveMark: Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading

arXiv:2609.02177v1 Announce Type: cross Abstract: Multi-bit watermarking for large language models (LLMs) enables content source tracing by embedding user-identifiable messages into generated text. Ex

researcharxiv-cs-lg

We've benchmarked all the latest frontier models on hard document extraction tasks (with Fable 5.1 and Gemini 3.8 Flash coming soon!). Extra…

model-releasesjerry-liu--x

We've benchmarked all the latest frontier models on hard document extraction tasks (with Fable 5.1 and Gemini 3.8 Flash coming soon!). ExtractBench is now live on @kaggle . 5.6 Sol leads the pack, fol

What a super interesting paper this one is. They propose an architecture for agents that outlive their model, harness and host. Today we des…

What a super interesting paper this one is. They propose an architecture for agents that outlive their model, harness and host. Today we describe an agent by whatever model and harness it happens to r

model-releasesdair-ai--x

What are your best sources to learn about LLM inference?

model-releasesr-localllama

The job of doing inference is not the same for every model ou there, as it depends on the architecture and configurations and the available machines. Many times we would not have the right machines to

What exactly does it it mean for monitorability that 'The depth of the computation graph for our present frontier models, including Astra, i…

model-releasesgary-marcus--x

What exactly does it it mean for monitorability that 'The depth of the computation graph for our present frontier models, including Astra, is within a factor of two of GPT-4' @merettm? (And did you me

What Is Worth Representing? Representational Empowerment for Continual Model Construction

arXiv:2609.02322v1 Announce Type: cross Abstract: The first problem of modeling the world is not just estimating the right parameters or causal structure, but deciding what should be represented at al

agentsarxiv-cs-ai

What Transfers Under Source Shift? Definitions, Examples, and Fine-Tuning for Climate Disclosure Classification

arXiv:2607.17952v2 Announce Type: replace Abstract: Climate disclosure classification is a fundamental task for analysing corporate climate disclosures, yet such disclosures appear in many different s

researcharxiv-cs-cl

When Agents Implement Systems: A Case Study in Defects, Detection, and Evaluation Rigor

arXiv:2609.01985v1 Announce Type: new Abstract: As LLM coding agents increasingly perform end-to-end engineering work, we lack empirical characterization of how they behave on systems-level requiremen

When Can a Machine Trust a Statute? A Survival Certificate for Machine-Extracted Legal Logic

arXiv:2609.01741v1 Announce Type: new Abstract: Statutes are increasingly parsed by machines before people read them, and the parsers disagree: on Missouri's statutes, two independently written extrac

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning

arXiv:2505.15276v2 Announce Type: replace Abstract: Large reasoning models (LRMs) have achieved remarkable success on complex tasks, yet their tendency to 'overthink' leads to inefficiencies. Although

researcharxiv-cs-ai

When Decodability Is Not Enough: Logical Validity Representations, Behavioral Dissociation, and Causal Tests in Language Models

arXiv:2609.02438v1 Announce Type: new Abstract: Large language models can look capable of logical reasoning, but correct or incorrect answers alone tell us little about what the model represents inter

researcharxiv-cs-cl

When Does Information Sharing Improve Decentralized Discovery? Aggregation, Independent Rescue, and Equilibrium Selection

arXiv:2609.01814v1 Announce Type: new Abstract: Information sharing can improve a pooled estimate while eliminating independent rescue actions. This paper separates those effects in exact finite disco

agentsarxiv-cs-ai

When Evidence Shapes Collaboration: Knowledge-Conditioned Topology Generation for Multi-Agent Systems

arXiv:2608.27984v2 Announce Type: replace Abstract: Multi-Agent Systems (MAS) have recently moved from static workflows toward dynamically generated collaboration topologies. However, existing topolog

agentsarxiv-cs-ai

When Literature Data Mislead Artificial Intelligence in Materials Discovery

arXiv:2609.01621v1 Announce Type: cross Abstract: Artificial intelligence (AI) increasingly treats scientific literature as a data source for building databases, training predictive models, and guidin

researcharxiv-cs-lg

When Persona Attributes Improve Population Alignment in Large Language Models

arXiv:2609.02526v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used to predict the responses of human participants in survey panels. Towards that goal, persona prompting

safetyarxiv-cs-cl

Who Drives the Probability Game of VLMs? A Temporal Causal Drive Evaluation Framework

arXiv:2609.02000v1 Announce Type: new Abstract: Vision-language models (VLMs) are increasingly evaluated on complex image and video understanding tasks, yet conventional metrics primarily assess final

researcharxiv-cs-cv

Whose Judgments Count? Representation Gaps in Crowdsourced Content Moderation Produce Unequal Protection from Perceived Toxicity

arXiv:2609.01625v1 Announce Type: cross Abstract: Content moderation is a central form of digital governance, yet people disagree over what content should be removed from shared online spaces. While p

researcharxiv-cs-cl

WiFlow: Estimating Optical Flow using WiFi Channel State Information

arXiv:2609.02452v1 Announce Type: new Abstract: Knowing where and how fast objects are moving within a scene is important across various domains. Usually, cameras are used to capture the data necessar

researcharxiv-cs-cv

Applications

WildFab: Multi-Axis 3D Printing from Models in the Wild

arXiv:2609.02413v1 Announce Type: cross Abstract: Multi-axis 3D printing enables support-free fabrication and improved part quality, but robustly processing real-world geometries remains challenging.

applicationsarxiv-cs-ro

WinoQueer-NL: Assessing Bias in Dutch Language Models toward LGBTQ+ Identities

model-releasesarxiv-cs-cl

arXiv:2609.02651v1 Announce Type: new Abstract: While English language models have been widely examined for anti-queer bias, Dutch models remain understudied. To address this gap, we developed a cultu

Hardware

Without Hugging Face the launch and scaling of stable diffusion & the models that followed would only have been a fraction of what they were…

Without Hugging Face the launch and scaling of stable diffusion & the models that followed would only have been a fraction of what they were. Great and super engaged team who have constantly flown the

hardwareemad-mostaque--x

WMLLM: Self-Evolving Optimization Agents via Predict-Then-Act World Modeling

arXiv:2609.01608v1 Announce Type: cross Abstract: Black-box optimization problems remain challenging because of large, weakly structured, and high-dimensional search spaces. Existing methods often suf

World-Coherent Decoding: Self-Verifying Test-Time Planning for World Action Models

arXiv:2609.02159v1 Announce Type: new Abstract: World Action Models (WAMs) aim to control robots by stochastically generating visual futures and then decoding actions, but empirical observations indic

researcharxiv-cs-cv

World-Model-Augmented Visual Locomotion for Humanoids on Foothold-Constrained Terrain

arXiv:2609.02542v1 Announce Type: new Abstract: Foothold-constrained terrain is characterized by sparse, discontinuous, or geometrically restricted feasible foot contacts, as encountered on stepping s

safetyarxiv-cs-ro

Applications

Wound3DAssist: A Practical Framework for 3D Wound Assessment

arXiv:2508.17635v2 Announce Type: replace Abstract: Managing chronic wounds remains a major healthcare challenge, with clinical assessment often relying on subjective and time-consuming manual documen

applicationsarxiv-cs-cv