arXiv:2510.26491v2 Announce Type: replace
Abstract: Data selection is a critical aspect of Reinforcement Learning with Verifiable Rewards (RLVR) for enhancing the reasoning capabilities of large language models (LLMs). Current data selection methods a…
arXiv:2604.13531v1 Announce Type: new
Abstract: Graphical User Interface (GUI) agents show strong capabilities for automating web tasks, but existing interactive benchmarks primarily target benign, predictable consumer environments. Their effectivenes…
arXiv:2604.13398v1 Announce Type: cross
Abstract: While Aspect-based Sentiment Analysis (ABSA) systems have achieved high accuracy in identifying sentiment polarities, they often operate as “black boxes,” lacking the explicit reasoning capabilities ch…
arXiv:2503.23137v2 Announce Type: replace-cross
Abstract: Understanding humor-particularly when it involves complex, contradictory narratives that require comparative reasoning-remains a significant challenge for large vision-language models (VLMs). T…
arXiv:2604.13326v1 Announce Type: new
Abstract: The robustness of machine learning models can be compromised by spurious correlations between non-causal features in the input data and target labels. A common way to test for such correlations is to tra…
arXiv:2512.10877v4 Announce Type: replace
Abstract: Discrete diffusion models (DMs) have achieved strong performance in language and other discrete domains, offering a compelling alternative to autoregressive modeling. Yet this performance typically d…
arXiv:2604.13418v1 Announce Type: cross
Abstract: Motivated by the underspecified, multi-hop nature of search queries and the multimodal, heterogeneous, and often conflicting nature of real-world web results, we introduce MERRIN (Multimodal Evidence R…
arXiv:2505.19662v3 Announce Type: replace
Abstract: This paper introduces FieldWorkArena, a benchmark for agentic AI targeting real-world field work. With the recent increase in demand for agentic AI, they are built to detect and document safety hazar…
arXiv:2604.13452v1 Announce Type: new
Abstract: Long-form visual storytelling requires maintaining continuity across shots, including consistent characters, stable environments, and smooth scene transitions. While existing generative models can produc…
arXiv:2604.14141v1 Announce Type: new
Abstract: Streaming 3D reconstruction aims to recover 3D information, such as camera poses and point clouds, from a video stream, which necessitates geometric accuracy, temporal
consistency, and computational ef…