Claims Browser

Braille understanding and expression are asymmetric in LLMs, with Grade 2 being especially fragile on the input side compared to Grade 1

"Braille understanding and expression are asymmetric, where Grade 2 is especially fragile on the input side compared to Grade 1"

Fully Braille requests further reduce LLM performance beyond the existing accessibility gap

"fully Braille requests further reduce performance"

BrailleBench provides valuable guidance for the development of future Braille AI systems

"The experimental observations provide valuable guidance for the development of future Braille AI systems"

Patch-based processing is the practical unit for foundation model inference on whole-slide images due to their prohibitive size

"Whole-slide images (WSIs) are central to computational pathology but are prohibitively large, making patch-based processing the practical unit for foundation model inference."

I/O and orchestration overhead dominates end-to-end performance in large-scale WSI patch processing, not compute

"At scale, however, generating and handling massive numbers of patches on quickly introduces significant I/O and orchestration overhead, often dominating end-to-end performance."

Decoupling I/O, computation, and ingestion enables high-throughput WSI embedding extraction at scale

"We show that decoupling I/O, computation, and ingestion enables high-throughput WSI embedding extraction at scale."

WSI embedding extraction is fundamentally a data-centric systems problem rather than a compute-bound workload, with storage dominating beyond moderate concurrency

"By characterizing the scaling envelope, we demonstrate that storage dominates beyond moderate concurrency, reframing WSI embedding extraction as a data-centric systems problem rather than a purely compute-bound workload."

Distributed vector databases with metadata-coupled embeddings are particularly beneficial for low-resource environments in computational pathology

"This representation database is compact and reusable for tasks such as retrieval, classification, and few-shot learning, particularly benefiting low-resource environments."

Visual storytelling systems struggle to maintain character consistency when later prompts omit identity-related semantics from initial character descriptions

"Although this setting better reflects natural storytelling, later prompts may omit important identity-related semantics, making character consistency more difficult to maintain."

Sidecar improves prompt-image alignment and character consistency across SDXL and FLUX-based models without requiring additional training or architectural modifications

"Experiments on FreeStoryBench show that Sidecar consistently improves prompt-image alignment and character consistency across multiple SDXL- and FLUX-based baselines, with negligible computational overhead."

Single-stage 3D object detectors cannot project features into a common space that is adaptive for all tasks

"it is impossible to project features into a common space that is adaptive for all the tasks"

The proposed TADP method with task-aware deformation head shows good results when applied to other detection methods

"The experimental results demonstrate that the proposed deformation head shows good results on other detection methods"

The TADP method achieves 80.91% car mAP on KITTI dataset, surpassing many state-of-the-art methods

"The experimental results on the KITTI dataset demonstrate that the car mAP is 80.91%, surpassing many state-of-the-art methods on the KITTI benchmark"

Directly concatenating multispectral sequences for molecular structure inference exhibits anomalous performance degradation due to pronounced heterogeneity and multimodal imbalance

"the common paradigm of directly concatenating multispectral sequences can exhibit anomalous performance degradation, primarily due to pronounced heterogeneity and the resulting multimodal imbalance across modalities"

MM-Spectrum's modality-aware routing mechanism that exposes spectral identity to the router better matches information characteristics under multispectral imbalance

"MM-Spectrum introduces an explicit modality-aware routing mechanism that exposes spectral identity to the router in addition to token content representations"

Shared and interaction experts with heterogeneous capacities can extract modality-unique and cross-modal synergistic information while suppressing noise-induced interference

"it incorporates shared and interaction experts, together with heterogeneous expert capacities, to extract multispectral modality-unique and cross-modal synergistic information while suppressing noise-induced interference"

MM-Spectrum achieves consistent and substantial improvements across full-modality, bimodal, and missing-modality settings on molecular structural elucidation

"Across full-modality, bimodal, and missing-modality settings on molecular structural elucidation, MM-Spectrum achieves consistent and substantial improvements, supported by ablation studies and interpretability analyses"

GPT-5.6-sol matches or outperforms the best existing methods on almost all evaluated instances of inventory control, queueing network control, and assortment optimization problems

"The strongest model we test, gpt-5.6-sol, matches or outperforms the best existing method on almost all evaluated instances."