3,698 items tracked: 33 reported by two or more outlets, the rest by a single source. Most-corroborated first.
arXiv:2506.09354v5 Announce Type: replace-cross Abstract: Mental health is a growing global concern, prompting interest in AI-driven solutions to expand access to psychosocial support.
arXiv:2509.00141v2 Announce Type: replace-cross Abstract: Statutory corpora and judicial decisions are growing faster than legal professionals can read them, while individual judgments often exceed the context limits of…
arXiv:2510.00154v2 Announce Type: replace-cross Abstract: Despite rapid progress in robotics, complex or long-horizon tasks remain a fundamental challenge.
arXiv:2601.20250v2 Announce Type: replace-cross Abstract: Recently, flow-based generative models have shown superior efficiency compared to diffusion models.
arXiv:2602.00931v3 Announce Type: replace-cross Abstract: Large language model reasoning is often treated as a monolithic capability, relying on binary preference supervision that fails to capture partial progress or fin…
arXiv:2602.03317v2 Announce Type: replace-cross Abstract: Quantitative imaging methods, such as magnetic resonance fingerprinting (MRF), aim to extract interpretable pathology biomarkers by estimating biophysical tissue…
arXiv:2602.04892v2 Announce Type: replace-cross Abstract: Ensuring that API implementations and usage comply with natural language programming rules is critical for software correctness, security, and reliability.
arXiv:2602.06317v3 Announce Type: replace-cross Abstract: Attention-mass concentration creates an opportunity for sparse decoding, but retained mass alone does not guarantee a stable greedy decision: retrieval error, omi…
arXiv:2602.07144v3 Announce Type: replace-cross Abstract: Bayesian optimization (BO) is a popular technique for sample-efficient optimization of black-box functions.
arXiv:2602.10137v2 Announce Type: replace-cross Abstract: This work proposes MeCSAFNet, a multi-branch encoder-decoder architecture for land cover segmentation in multispectral imagery.
arXiv:2602.20119v2 Announce Type: replace-cross Abstract: Solving complex long-horizon robotic tasks requires joint reasoning over abstract task structure and low-level physical interaction.
arXiv:2603.06655v2 Announce Type: replace-cross Abstract: We introduce FCBNet, an efficient model designed for camouflaged weed detection.
arXiv:2603.13357v2 Announce Type: replace-cross Abstract: Bi-CamoDiffusion is introduced, an evolution of the CamoDiffusion framework for camouflaged object detection.
arXiv:2604.01989v4 Announce Type: replace-cross Abstract: While multimodal large language models demonstrate strong entity-level perception, faithfully grounding relational interactions between objects remains a persiste…
arXiv:2604.03315v2 Announce Type: replace-cross Abstract: Storyboarding is a core skill in visual storytelling for film, animation, and games.
arXiv:2604.04614v3 Announce Type: replace-cross Abstract: Deep learning-based modeling of multimodal Electronic Health Records (EHRs) has become an important approach for clinical diagnosis and risk prediction.
arXiv:2604.17805v5 Announce Type: replace-cross Abstract: Maximum-likelihood pairwise ranking is a com- mon computational mechanism for prioritization, reputation estimation, and comparison-driven decision support.
arXiv:2605.00556v2 Announce Type: replace-cross Abstract: Partial driving automation creates a tension: drivers remain legally responsible while being less active in control.
arXiv:2605.01616v3 Announce Type: replace-cross Abstract: Human behavior is difficult to observe continuously at scale, yet it leaves measurable traces in everyday device use.
arXiv:2605.02003v3 Announce Type: replace-cross Abstract: Machine Learning (ML) has transformed many scientific fields, yet key applications still lack standardized benchmarks.
arXiv:2605.06295v2 Announce Type: replace-cross Abstract: How can an arbitrary attribution method be generalized from first principles to capture interactions?
arXiv:2605.07943v2 Announce Type: replace-cross Abstract: Active vision -- where a policy controls its own gaze during manipulation -- has emerged as a key capability for imitation learning, with multiple independent sys…
arXiv:2605.27388v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used as proxies for computational social analysis, yet faithfully representing the "thick descriptions" (Geertz, 197…
arXiv:2605.30638v2 Announce Type: replace-cross Abstract: We introduce Score Broadcast and Decorrelation (SBD), a principled framework for broadcast-based credit assignment for general families of differentiable losses.
arXiv:2606.06539v2 Announce Type: replace-cross Abstract: Forward-Forward (FF) learning [Hinton, 2022] replaces backpropagation with strictly layer-local goodness updates.
arXiv:2606.22272v2 Announce Type: replace-cross Abstract: Applying pre-trained language models to new domains through full fine-tuning is computationally expensive and prone to catastrophic forgetting.
arXiv:2606.22976v2 Announce Type: replace-cross Abstract: In this paper, we use random walks on graphs as a verifiable sandbox for studying parallel sampling strategies in masked diffusion models (MDMs).
arXiv:2606.24967v2 Announce Type: replace-cross Abstract: Hydraulic-conductivity inversion is ill posed: even complete head observations can leave structural ambiguity.
arXiv:2606.25879v2 Announce Type: replace-cross Abstract: Computational reproducibility remains difficult despite being central to scientific research.
arXiv:2607.17790v3 Announce Type: replace-cross Abstract: Egocentric devices, such as wearable front-facing cameras, provide a unique perspective for capturing the continuous interaction between a human viewer and the su…
arXiv:2607.19479v2 Announce Type: replace-cross Abstract: Existing teleoperation systems are often tailored to specific robot hardware and task domains, limiting their scalability and adaptability.
arXiv:2607.25970v2 Announce Type: replace-cross Abstract: RL for code correctness is now established: have the model generate a program, run it against hidden test cases, and reward solutions that pass.
arXiv:2607.28627v2 Announce Type: replace-cross Abstract: Long visual contexts challenge vision-language models: performance degrades as the number of distractors grows, and processing all tokens at once can exceed GPU m…
arXiv:2608.13368v3 Announce Type: replace-cross Abstract: This preliminary technical report presents a framework for sign language video synthesis using a loss-guided multi-expert Generative Adversarial Network (GAN) to…
arXiv:2608.23986v3 Announce Type: replace-cross Abstract: Large language model providers are compute constrained, and a common response to congestion is to degrade service.
arXiv:2608.29615v2 Announce Type: replace-cross Abstract: Across industries, machine-learning systems support applications ranging from prediction and anomaly detection to forecasting, optimization, and scheduling, yet o…
arXiv:2608.30317v2 Announce Type: replace-cross Abstract: Dynamic origin-destination (OD) matrix estimation calibrates time-dependent input demand for simulations to reproduce observed link flows.
Google LLC is making its SynthID identification tools for artificial intelligence-created and AI-edited videos and images more widely available with the launch of a new service today that everyone can use.
The tech giant is also expected to get a boost from its latest folding devices that were launched in August.
On Monday, October 5th, the New York City council had a historic hearing on the state of AI.
Failures of third-party services no excuse for island nation’s financial sector
OpenAI Group PBC says ChatGPT is moving away from its traditional wall-of-text responses and giving users a more interactive user interface to play with.
Nous Research Inc., the developer of the popular Hermes artificial intelligence agent, today announced that it has raised $90 million in funding.
Get ready for more AI in your Windows and more AI on the desktop.
Diffusion-based models decompose sampling into many small Gaussian denoising steps, an assumption that breaks down when generation is compressed to a few coarse transitions.
Multiplayer world models must generate independently controlled views with consistent representations of both players and their shared environment.
World action models (WAMs) aim to answer a coupled physical question: given a task instruction, what motion should the robot execute, and how will that motion change the surrounding world?
Multimodal large language models (MLLMs) struggle with spatial, embodied, physical, and temporal reasoning.
Large language model (LLM) assistants are being deployed to clinicians across health systems, and judgments about their readiness rest largely on benchmark scores, most of them derived from examination questions or curat…