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arXiv:2410.03249v4 Announce Type: replace-cross Abstract: The leakage of benchmark data into the training data has emerged as a significant challenge...
arXiv:2502.11169v2 Announce Type: replace Abstract: This paper introduces the Constrained Monte Carlo Tree Search (CMCTS) framework to enhance the mathematical...

The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive pre-training on vast datasets....
arXiv:2506.12796v1 Announce Type: new Abstract: In-context learning (ICL) has emerged as a powerful paradigm for task adaptation in large language...
arXiv:2506.13066v1 Announce Type: new Abstract: Large Multimodal Models (LMMs) demonstrate significant cross-modal reasoning capabilities. However, financial applications face challenges due...
arXiv:2506.12860v1 Announce Type: new Abstract: Recent advancements in Long Chain-of-Thought (CoT) reasoning models have improved performance on complex tasks, but...
arXiv:2506.12274v1 Announce Type: cross Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across various domains. However, their potential to...
arXiv:2503.13102v2 Announce Type: replace Abstract: Recent advances in large language models (LLMs) have introduced the novel paradigm of using LLMs...
arXiv:2506.11072v1 Announce Type: cross Abstract: Machine learning-based behavioral models rely on features extracted from audio-visual recordings. The recordings are processed...
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