Search results for “site:arxiv.org”

Page 13 of about 338 results

arxiv.org abs › 2412.13663

[2412.13663] Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Abstract page for arXiv paper 2412.13663: Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

arxiv.org abs › 2502.03979

[2502.03979] Towards Unified Music Emotion Recognition across Dimensional and Categorical Models

Abstract page for arXiv paper 2502.03979: Towards Unified Music Emotion Recognition across Dimensional and Categorical Models

arxiv.org abs › 2505.24226

[2505.24226] E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness

Abstract page for arXiv paper 2505.24226: E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness

arxiv.org abs › 2402.17645v1

[2402.17645v1] SongComposer: A Large Language Model for Lyric and Melody Composition in Song Generation

Abstract page for arXiv paper 2402.17645v1: SongComposer: A Large Language Model for Lyric and Melody Composition in Song Generation

arxiv.org abs › 2409.07500v1

[2409.07500v1] DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation

Abstract page for arXiv paper 2409.07500v1: DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation

arxiv.org html › 2309.10621v3

Large Language Models can Accurately Predict Searcher Preferences

Much of the evaluation and tuning of a search system relies on relevance labels—annotations that say whether a document is useful for a given search and searcher. Ideally these come from real searchers, but it is hard to collect this data at scale, so typical experiments rely on third-party...

arxiv.org html › 2402.17645v2

SongComposer: A Large Language Model for Lyric and Melody Generation in Song Composition

Creating lyrics and melodies for the vocal track in a symbolic format, known as song composition, demands expert musical knowledge of melody, an advanced understanding of lyrics, and precise alignment between them. Despite achievements in sub-tasks such as lyric generation, lyric-to-melody, and...