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...

arXiv:2506.23133v1 Announce Type: new Abstract: Generating and voting multiple answers is an effective method to mitigate reasoning inconsistencies of large...

arXiv:2506.23225v1 Announce Type: cross Abstract: Gated Linear Units (GLUs) have become essential components in the feed-forward networks of state-of-the-art Large...

arXiv:2408.06576v2 Announce Type: replace Abstract: Cyber Threat Intelligence (CTI) summarization involves generating concise and accurate highlights from web intelligence data,...

arXiv:2506.23423v1 Announce Type: new Abstract: Past work has studied the effects of fine-tuning on large language models’ (LLMs) overall performance...