dimension_forced

"We classify the DES SNe using a machine learning algorithm applied to their light curves in four photometric bands."

"support member comprises a carbon fiber material"

"Experiments show that Janus surpasses previous unified model and matches or exceeds the performance of task-specific models"

"BAO data alone are able to rule out dark-energy-free models at more than eight standard deviations in an extension to the flat ΛCDM model that allows for curvature"

"Covariance matrix adaptation... rank-μ-update... rank-one-update... cumulation... step-size control"

"we explore integrating spatio-temporal specific rewards into Multimodal Large Language Models (MLLMs) to address the unique challenges of video understanding, such as long-range temporal associations"

"we propose a hierarchical Transformer whose representation is computed with Shifted windows. The shifted windowing scheme brings greater efficiency by limiting self-attention computation to non-overlapping local windows while also allowing for cross-window connection. This hierarchical architecture has the flexibility to model at various scales and has linear computational complexity with respect to image size."

"In addition, we introduce a dataset of Raven IQ test, which diagnoses the nonverbal reasoning capability of MLLMs."

"all tasks require only elementary Core Knowledge ... no specialized world knowledge"

"By fitting a parameterized waveform that incorporates the full inspiral-merger-ringdown sequence, we constrain the fundamental (ℓ=m=4) mode to tens of percent and bound the quadrupolar frequency to within a few percent of the GR prediction."

"With the syllabus, we further unify the three tasks into one model, termed the OneAlign."

"three performance regimes: (1) low-complexity tasks where standard models outperform LRMs, (2) medium-complexity tasks where LRMs demonstrates advantage, and (3) high-complexity tasks where both models face complete collapse"

"BEVDet performs 3D object detection in Bird-Eye-View (BEV), where most target values are defined and route planning can be handily performed."

"We train our model in an end-to-end manner on massive multi-view data containing around 1 million objects, including both synthetic renderings from Objaverse and real captures from MVImgNet."

"Our team at Meta Reality Labs Research built the Project Aria device, an egocentric, multi-modal data recording and streaming device with the goal to foster and accelerate research in this area. In this paper, we describe the Project Aria device hardware including its sensor configuration and the corresponding software tools"

"Extensive experiments on the NAVSIM and Bench2Drive benchmarks demonstrate that ReCogDrive achieves state-of-the-art performance."

"Jurassic-X... some of the technical challenges in implementing it"

"Across a wide range of sampling step budgets, shortcut models consistently produce higher quality samples than previous approaches, such as consistency models and reflow."

"We have carefully considered the potential ethical implications of releasing this benchmark, and believe that it will be a net positive for the community."

"We introduce MMMU: a new benchmark designed to evaluate multimodal models on massive multi-discipline tasks demanding college-level subject knowledge and deliberate reasoning. MMMU includes 11.5K meticulously collected multimodal questions from college exams, quizzes, and textbooks, covering six core disciplines..."

"Key techniques such as long data synthesis, progressive pre-training, and multi-stage supervised fine-tuning are employed to effectively enhance long-context performance while reducing training costs."

"LiveBench contains questions that are based on recently-released math competitions, arXiv papers, news articles, and datasets, and it contains harder, contamination-limited versions of tasks from previous benchmarks such as Big-Bench Hard, AMPS, and IFEval."

"AF3 achieves new SOTA results on over 20+ (long) audio understanding and reasoning benchmarks"

"MDM is a generic approach, enabling different modes of conditioning, and different generation tasks. We show that our model is trained with lightweight resources and yet achieves state-of-the-art results on leading benchmarks for text-to-motion and action-to-motion."

"comprehensive evaluations on nearly 20 benchmarks show that Thyme yields significant and consistent performance gains, particularly in challenging high-resolution perception and complex reasoning tasks"

"These discordances primarily rest on the divergence in the measurement of core cosmological parameters with varying levels of statistical confidence. These possible statistical tensions may be partially accounted for by systematics in various measurements or cosmological probes but there is also a growing indication of potential new physics beyond the standard model."

"We introduce spotlighting, a family of prompt engineering techniques"

"Our OpenVid-1M has several characteristics: 1) Superior in quantity... 2) Superior in visual quality... 3) Expressive in caption"

"their persistence after several years of accurate analysis strongly hints at cracks in the standard cosmological scenario and the necessity for new physics or generalisations beyond the standard model"

"Our training data for phi-1.5 is a combination of phi-1’s training data (7B tokens) and newly created synthetic, “textbook-like” data (roughly 20B tokens) for the purpose of teaching common sense reasoning and general knowledge of the world"