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Found 5 papers, 1 papers with code
Let's reward step by step: Step-Level reward model as the Navigators for Reasoning
Recent years have seen considerable advancements in multi-step reasoning with Large Language Models (LLMs).
LoBaSS: Gauging Learnability in Supervised Fine-tuning Data
In this paper, we introduce a new dimension in SFT data selection: learnability.
Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling
This paper proposes Video-Teller, a video-language foundation model that leverages multi-modal fusion and fine-grained modality alignment to significantly enhance the video-to-text generation task.
Video-CSR: Complex Video Digest Creation for Visual-Language Models
We present a novel task and human annotated dataset for evaluating the ability for visual-language models to generate captions and summaries for real-world video clips, which we call Video-CSR (Captioning, Summarization and Retrieval).
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction
Our experimental findings demonstrate that our approach accelerates the training of vision-language models by a factor of 5 without a noticeable impact on overall performance.
