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Found 10 papers, 3 papers with code
Detailed Object Description with Controllable Dimensions
Dimension Tailor can not only improve the quality of object details but also offer flexibility in including or excluding specific dimensions based on user preferences.
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification
This method effectively integrates local and global feature-neighborhood (F-N) structures for robust decision-making.
Disentangle and denoise: Tackling context misalignment for video moment retrieval
Video Moment Retrieval, which aims to locate in-context video moments according to a natural language query, is an essential task for cross-modal grounding.
RB-SQL: A Retrieval-based LLM Framework for Text-to-SQL
Large language models (LLMs) with in-context learning have significantly improved the performance of text-to-SQL task.
52B to 1T: Lessons Learned via Tele-FLM Series
Large Language Models (LLMs) represent a significant stride toward Artificial General Intelligence.
Tele-FLM Technical Report
Large language models (LLMs) have showcased profound capabilities in language understanding and generation, facilitating a wide array of applications.
Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization
In our dynamic world where data arrives in a continuous stream, continual learning enables us to incrementally add new tasks/domains without the need to retrain from scratch.
TeleChat Technical Report
Subsequently, the model undergoes fine-tuning to align with human preferences, following a detailed methodology that we describe.
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation
In this paper, we propose MUTR, a Multi-modal Unified Temporal transformer for Referring video object segmentation.
