arXiv:2206.05446v2 Announce Type: replace Abstract: We propose a novel method to conceptually decompose an existing annotation into separate levels, allowing...

arXiv:2405.17998v2 Announce Type: replace-cross Abstract: Recommender systems are essential for information access, allowing users to present their content for recommendation....

arXiv:2506.08436v1 Announce Type: new Abstract: Most existing structured pruning methods for Large Language Models (LLMs) require substantial computational and data...

arXiv:2506.07086v1 Announce Type: new Abstract: Multi-modal affective computing aims to automatically recognize and interpret human attitudes from diverse data sources...

arXiv:2504.15585v4 Announce Type: replace-cross Abstract: The remarkable success of Large Language Models (LLMs) has illuminated a promising pathway toward achieving...

arXiv:2506.07106v1 Announce Type: new Abstract: Large language models (LLMs) have shown strong performance across natural language reasoning tasks, yet their...

arXiv:2501.18858v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities in complex reasoning tasks, yet generating reliable...

arXiv:2505.12452v2 Announce Type: replace Abstract: Large language models (LLMs) increasingly demonstrate signs of conceptual understanding, yet much of their internal...