5 papers
SLAP: Scalable Language-Audio Pretraining with Variable-Duration Audio and Multi-Objective Training
Xinhao Mei, Gael Le Lan, Haohe Liu +5
Contrastive language-audio pretraining (CLAP) has achieved notable success in learning semantically rich audio representations and is widely adopted for various audio-related tasks…
MME-RAG: Multi-Manager-Expert Retrieval-Augmented Generation for Fine-Grained Entity Recognition in Task-Oriented Dialogues
Liang Xue, Haoyu Liu, Yajun Tian +2
Fine-grained entity recognition is crucial for reasoning and decision-making in task-oriented dialogues, yet current large language models (LLMs) continue to face challenges in dom…
DisTime: Distribution-based Time Representation for Video Large Language Models
Yingsen Zeng, Zepeng Huang, Yujie Zhong +4
Despite advances in general video understanding, Video Large Language Models (Video-LLMs) face challenges in precise temporal localization due to discrete time representations and…
Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE
Haiduo Huang, Fuwei Yang, Zhenhua Liu +7
Speculative decoding (SD) accelerates large language model inference by using a smaller draft model to predict multiple tokens, which are then verified in parallel by the larger ta…
CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation
Guofeng Cui, Pichao Wang, Yang Liu +3
Large language models (LLMs) have shown great potential in natural language processing tasks, but their application to machine translation (MT) remains challenging due to pretraini…