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arXiv:2501.05927v2 Announce Type: replace Abstract: We examine how social media users from eight European Union (EU) member states express their socio-political identities, focusing on users'...
arXiv:2501.13365v4 Announce Type: replace Abstract: Edge detection (ED) is a fundamental perceptual process in computer vision, forming the structural basis for high-level reasoning tasks such...
arXiv:2501.17682v2 Announce Type: replace Abstract: We propose new abstract and unified perspectives on a range of scheduling and graph coloring problems with general min-sum objectives....
arXiv:2502.01713v3 Announce Type: replace Abstract: Algorithms are increasingly used to automate or aid human decisions, yet recent research shows that these algorithms may exhibit bias...
arXiv:2502.03366v4 Announce Type: replace Abstract: In classification tasks, softmax functions are ubiquitously used as output activations to produce predictive probabilities. Such outputs only capture aleatoric...
arXiv:2502.04468v3 Announce Type: replace Abstract: Diffusion models are an important tool for generative modelling, serving as effective priors in applications such as imaging and protein...
arXiv:2502.04947v4 Announce Type: replace Abstract: In this work, we present a study combining two approaches in the context of solving PDEs: the continuous finite element...
arXiv:2502.10001v2 Announce Type: replace Abstract: Transformer architectures based on the attention mechanism have revolutionized natural language processing (NLP), driving major breakthroughs across virtually every NLP...
arXiv:2502.10290v3 Announce Type: replace Abstract: Studies of human cognition often rely on brief, highly controlled tasks that emphasize group-level effects but poorly capture the rich...
arXiv:2502.10303v2 Announce Type: replace Abstract: Reinforcement Learning (RL) has been widely used in many applications, particularly in gaming, which serves as an excellent training ground...
arXiv:2502.12530v2 Announce Type: replace Abstract: As humans increasingly share environments with diverse agents powered by RL, LLMs, and beyond, the ability to explain agent policies...
arXiv:2502.13436v3 Announce Type: replace Abstract: We show how to add and eliminate binary preference on plays in Alternating-time Temporal Logic (ATL) with strategy contexts on...
arXiv:2502.14656v2 Announce Type: replace Abstract: We present a hybrid method combining a minimizing movement scheme with neural operators for the simulation of phase field-based Willmore...
arXiv:2502.19844v4 Announce Type: replace Abstract: Vision-language models (VLMs) have made significant progress in image classification by training with large-scale paired image-text data. Their performances largely...
arXiv:2503.00038v5 Announce Type: replace Abstract: Current studies have exposed the risk of Large Language Models (LLMs) generating harmful content by jailbreak attacks. However, they overlook...
arXiv:2503.04563v5 Announce Type: replace Abstract: Ensuring safety and motion consistency for robot navigation in occluded, obstacle-dense environments is a critical challenge. In this context, this...
arXiv:2503.05188v2 Announce Type: replace Abstract: Inference-time scaling techniques have shown promise in enhancing the reasoning capabilities of large language models (LLMs). While recent research has...
arXiv:2503.06790v3 Announce Type: replace Abstract: Although recent research applying text-to-image (T2I) diffusion models to real-world super-resolution (SR) has achieved remarkable progress, the misalignment of their...
arXiv:2503.10186v2 Announce Type: replace Abstract: Beyond specific settings, many multi-agent learning algorithms fail to converge to an equilibrium solution, instead displaying complex, non-stationary behaviours such...
arXiv:2503.10559v2 Announce Type: replace Abstract: Robot navigation in complex environments necessitates controllers that prioritize safety while remaining performant and adaptable. Traditional controllers like Regulated Pure...
arXiv:2503.11093v2 Announce Type: replace Abstract: Image Difference Captioning (IDC) aims to generate natural language descriptions of subtle differences between image pairs, requiring both precise visual...
arXiv:2503.11297v3 Announce Type: replace Abstract: Recent years, weather forecasting has gained significant attention. However, accurately predicting weather remains a challenge due to the rapid variability...
arXiv:2503.13553v2 Announce Type: replace Abstract: In complex multi-agent environments, achieving efficient learning and desirable behaviours is a significant challenge for Multi-Agent Reinforcement Learning (MARL) systems....
arXiv:2503.16814v5 Announce Type: replace Abstract: Multi-Agent Debate (MAD) has emerged as a promising inference scaling method for Large Language Model (LLM) reasoning. However, it frequently...