Leaderboards, eval harnesses and ablations — the contested business of deciding which model is actually better.
arXiv:2610.27500v1 Announce Type: cross Abstract: We develop and compare enhanced neural-network solvers for one-dimensional ground-state profiles, which are solutions of $$ Q^{\prime\prime}=bQ-\gamm...
arXiv:2610.27561v1 Announce Type: cross Abstract: Rapid and accurate hypocenter determination based on three-dimensional (3D) seismic velocity models is essential for seismic monitoring in subduction...
arXiv:2610.27793v1 Announce Type: cross Abstract: Uncertainty in the terrestrial carbon cycle remains a major constraint in climate projections, partly due to imperfect land surface representations i...
arXiv:2610.27815v1 Announce Type: cross Abstract: Speculative decoding accelerates autoregressive (AR) language models by letting a small model draft tokens serially and a large model verify them in...
arXiv:2610.28212v1 Announce Type: cross Abstract: ExeBench is one of the most widely used benchmarks for evaluating LLM-based decompilers. We analyze ExeBench and identify nine issues that affect how...
arXiv:2512.22428v3 Announce Type: replace Abstract: Post-hoc residual correction can reduce forecasting error, but always-on updates often fail to generalize: when residual signals are weak or noisy,...
arXiv:2605.30526v2 Announce Type: replace Abstract: Aligned language models often exhibit a recognizable AI-like style, yet its connection to post-training and internal representations remains poorly...
arXiv:2605.15816v2 Announce Type: replace-cross Abstract: Stipple patterns, point sets whose local density tracks a target image, are traditionally produced by per-density iterative optimizers, which...
arXiv:2610.05265v2 Announce Type: replace Abstract: Looped language models provide a parameter-efficient way to scale iterative test-time computation by repeatedly executing a shared recurrent core....
arXiv:2610.26951v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is the dominant paradigm for grounding large language models in external corpora, but its similarity-driven, chunk...
arXiv:2610.27269v1 Announce Type: new Abstract: With the widespread adoption of large language models (LLMs) across languages and domains, AI safety has emerged as a critical global concern. However,...
arXiv:2610.28457v1 Announce Type: cross Abstract: General-purpose multimodal models have shown promise as direct robot action policies, yet whether they grasp the physics underlying real-world intera...
arXiv:2605.14978v3 Announce Type: replace Abstract: Speculative decoding accelerates LLM inference by having a lightweight draft model propose speculative windows of candidate tokens for parallel ver...
arXiv:2608.15394v2 Announce Type: replace Abstract: Human perception of time is subjective. Temporal illusions show that the brain relies on context and relational cues when judging duration. Prior s...
arXiv:2610.14531v2 Announce Type: replace Abstract: Chinese historical documents are invaluable cultural treasures, but their complexity poses significant comprehension challenges for non-specialists...
arXiv:2610.27066v1 Announce Type: new Abstract: Generating human-object interactions (HOIs) with multiple objects is challenging because the resulting motions arise from different underlying causes....
arXiv:2610.27108v1 Announce Type: new Abstract: 3D Gaussian Splatting grows a dense scene from a sparse initialization through adaptive density control (ADC), driven by per-Gaussian statistics gather...
arXiv:2610.27341v1 Announce Type: new Abstract: Vision-language models (VLMs) have advanced rapidly in multimodal reasoning, yet they remain limited on tasks requiring fine-grained understanding of s...
arXiv:2610.27605v1 Announce Type: new Abstract: Current state-of-the-art segmentation models still produce anatomically implausible shapes, such as broken vessels and fragmented glands, on the struct...
arXiv:2610.27728v1 Announce Type: new Abstract: Real-world datasets are inherently class-imbalanced, leading models to favor majority classes and struggle with minority ones. Existing logit adjustmen...