arXiv:2505.19121v2 Announce Type: replace Abstract: Despite the recent strides in large language models, studies have underscored the existence of social...

arXiv:2507.01887v1 Announce Type: new Abstract: Large language models (LLMs) excel at reasoning tasks requiring long thought sequences for planning, reflection,...

arXiv:2507.01431v1 Announce Type: cross Abstract: Grading handwritten, open-ended responses remains a major bottleneck in large university STEM courses. We introduce...

arXiv:2507.00297v1 Announce Type: new Abstract: Recent advances in word embeddings and language models use large-scale, unlabelled data and self-supervised learning...

arXiv:2505.00703v2 Announce Type: replace-cross Abstract: Recent advancements in large language models have demonstrated how chain-of-thought (CoT) and reinforcement learning (RL)...

arXiv:2507.00322v1 Announce Type: new Abstract: Despite remarkable advances in coding capabilities, language models (LMs) still struggle with simple syntactic tasks...

arXiv:2506.18710v3 Announce Type: replace Abstract: Benchmarks like Massive Multitask Language Understanding (MMLU) have played a pivotal role in evaluating AI’s...

arXiv:2507.00898v1 Announce Type: cross Abstract: Recent Large Vision-Language Models (LVLMs) have introduced a new paradigm for understanding and reasoning about...

arXiv:2506.23101v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have shown impressive capabilities across tasks involving both visual and...