Leaderboards, eval harnesses and ablations — the contested business of deciding which model is actually better.
arXiv:2611.06854v1 Announce Type: cross Abstract: Computer-use agents (CUAs) have recently achieved superhuman performance on several long-horizon benchmarks. However, their computational cost limits...
arXiv:2602.03201v4 Announce Type: replace Abstract: Model-based reinforcement learning (MBRL) is sample-efficient but struggles in sparse reward settings. A critical bottleneck arises from the lack o...
arXiv:2605.30749v2 Announce Type: replace Abstract: Maximum entropy reinforcement learning (MaxEnt-RL) enables robust exploration, yet practical implementations often restrict policies to simple Gaus...
arXiv:2610.04624v2 Announce Type: replace Abstract: Recovering Partial Differential Equation (PDE) coefficient fields from extremely sparse observations is a severely ill-posed inverse problem for wh...
arXiv:2611.02102v3 Announce Type: replace Abstract: Scaling computer-use agents from individual actions to complex software work requires experience that connects decisions to complete outcomes. We p...
arXiv:2611.05384v1 Announce Type: new Abstract: Generalisability is a central question for deep neural networks, including the cross-language generalisation of speaker embeddings. This study examined...
arXiv:2611.05731v1 Announce Type: new Abstract: Most memory systems for LLM agents are retrospective, preserving and retrieving past information to inform current decisions. Proactive agents, however...
arXiv:2611.05827v1 Announce Type: new Abstract: Decision models choose among predefined options in tasks such as routing and action selection. In multi-agent collaboration, a decision determines how...
arXiv:2611.06371v1 Announce Type: new Abstract: Summarization with a fixed character length is important for tasks such as headline and article preview generation, where text must fit an exact space....
arXiv:2611.06517v1 Announce Type: new Abstract: The massive permeability of intelligent systems in every sphere of human activities have greatly enhanced clarity, ease of work, and increased general...
arXiv:2608.13168v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly applied for emotional companionship, evaluating their behavior and capabilities in intimate relati...
arXiv:2611.05766v1 Announce Type: new Abstract: Automated segmentation of post-treatment glioma from MRI is essential for accurate diagnosis and treatment planning, yet remains difficult. Surgery and...
arXiv:2611.06007v1 Announce Type: new Abstract: Motorized Two-Wheelers (MTWs) dominate personal transport across much of the Global South, yet remain largely overlooked in predictive perception resea...
arXiv:2611.06046v1 Announce Type: new Abstract: In recent years, AIGC technologies are capable of generating hyper-realistic forged facial images, posing severe threats to facial security safety. To...
arXiv:2611.06113v1 Announce Type: new Abstract: Cross-modal retrieval (CMR) aims to bridge the semantic gaps between modalities by learning shared representations. Unfortunately, due to the dynamism...
arXiv:2611.06415v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have demonstrated remarkable progress on cross-modal reasoning tasks, yet they continue to suffer from halluci...
arXiv:2611.06770v1 Announce Type: new Abstract: Fine-grained visual reasoning is essential for remote sensing in urban management, yet remains underexplored in the evaluation of multimodal large lang...
arXiv:2611.06844v1 Announce Type: new Abstract: A central yet under-explored question in Multimodal Large Language Models (MLLMs) is where to connect---how visual information from a hierarchical visi...
arXiv:2510.01183v2 Announce Type: replace Abstract: Humans possess a remarkable ability to mentally explore and replay 3D environments they have previously experienced. Inspired by this mental proces...
arXiv:2602.11499v3 Announce Type: replace Abstract: Multimodal Large Language Models have shown promising capabilities in bridging visual and textual reasoning, yet their reasoning capabilities in Op...