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Found 10 papers, 7 papers with code
RoleInteract: Evaluating the Social Interaction of Role-Playing Agents
In this paper, we introduce RoleInteract, the first benchmark designed to systematically evaluate the sociality of role-playing conversational agents at both individual and group levels of social interactions.
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent
Each component is implemented by a single LLM that focuses on a specific capability and collaborates with others to accomplish the task.
Knowledge Distillation for Closed-Source Language Models
The prior estimation aims to derive a prior distribution by utilizing the corpus generated by closed-source language models, while the posterior estimation employs a proxy model to update the prior distribution and derive a posterior distribution.
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models
Large language models (LLMs) have recently demonstrated remarkable capabilities to comprehend human intentions, engage in reasoning, and design planning-like behavior.
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Our code, pre-trained model, instruction-tuned models, and evaluation set are available at https://github. com/X-PLUG/mPLUG-Owl.
Ranked #3 on
Visual Question Answering (VQA)
on HallusionBench
Visual Question Answering (VQA)
Zero-Shot Video Question Answer
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human
In this paper, we present ChatPLUG, a Chinese open-domain dialogue system for digital human applications that instruction finetunes on a wide range of dialogue tasks in a unified internet-augmented format.
Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph
We release all the open resources (OpenBG benchmarks) derived from it for the community and report experimental results of KG-centric tasks.
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
Large-scale pretrained foundation models have been an emerging paradigm for building artificial intelligence (AI) systems, which can be quickly adapted to a wide range of downstream tasks.
Ranked #1 on
Image Captioning
on COCO Captions
AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce
Live streaming is becoming an increasingly popular trend of sales in E-commerce.
AliMe KG: Domain Knowledge Graph Construction and Application in E-commerce
Pre-sales customer service is of importance to E-commerce platforms as it contributes to optimizing customers' buying process.
