SymbolicAI: A framework for logic-based approaches combining generative models and solvers

    ExtensityAI/symbolicai ? ? 1 Feb 2024

    Through these operations based on in-context learning our framework enables the creation and evaluation of explainable computational graphs.

    Few-Shot Learning In-Context Learning +1

    1,422
    2.09 stars / hour

    Do Large Language Models Need a Content Delivery Network?

    lmcache/lmcache ? ? 16 Sep 2024

    As the use of large language models (LLMs) expands rapidly, so does the range of knowledge needed to supplement various LLM queries.

    In-Context Learning

    2,312
    1.80 stars / hour

    OmniGen2: Exploration to Advanced Multimodal Generation

    vectorspacelab/omnigen2 ? ? 23 Jun 2025

    To facilitate the training of OmniGen2, we developed comprehensive data construction pipelines, encompassing image editing and in-context generation data.

    Image Generation multimodal generation +1

    2,787
    1.78 stars / hour

    Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation

    meigen-ai/multitalk ? ? 28 May 2025

    Audio-driven human animation methods, such as talking head and talking body generation, have made remarkable progress in generating synchronized facial movements and appealing visual quality videos.

    Human Animation Instruction Following +1

    1,014
    1.35 stars / hour

    Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs

    hcplab-sysu/causal-vlreasoning ? ? 23 Aug 2023

    Drawing inspiration from the orchestration of diverse specialized agents collaborating to tackle intricate tasks, we propose a framework named Causal-Consistency Chain-of-Thought (CaCo-CoT) that harnesses multi-agent collaboration to bolster the faithfulness and causality of foundation models, involving a set of reasoners and evaluators.

    counterfactual Science Question Answering

    1,029
    1.02 stars / hour

    MEIA: Multimodal Embodied Perception and Interaction in Unknown Environments

    hcplab-sysu/causalvlr ? ? 1 Feb 2024

    To overcome this limitation, we introduce the Multimodal Embodied Interactive Agent (MEIA), capable of translating high-level tasks expressed in natural language into a sequence of executable actions.

    Embodied Question Answering Language Modeling +4

    1,028
    1.02 stars / hour

    AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora

    hkust-knowcomp/autoschemakg ? ? 29 May 2025

    We present AutoSchemaKG, a framework for fully autonomous knowledge graph construction that eliminates the need for predefined schemas.

    graph construction Knowledge Graphs

    310
    0.95 stars / hour

    FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution

    Eyeline-Research/FlashDepth ? ? 9 Apr 2025

    A versatile video depth estimation model should (1) be accurate and consistent across frames, (2) produce high-resolution depth maps, and (3) support real-time streaming.

    2k Decision Making +2

    185
    0.68 stars / hour

    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training

    PaddlePaddle/ERNIE ? ? 30 Sep 2022

    They attempt to learn cross-modal representation using contrastive learning on image-text pairs, however, the built inter-modal correlations only rely on a single view for each modality.

    Computational Efficiency Contrastive Learning +7

    6,969
    0.60 stars / hour

    Adapting Precomputed Features for Efficient Graph Condensation

    Xtra-Computing/GCPA ? ? ICML 2025

    To address this, Graph Condensation (GC) methods aim to compress large graphs into smaller, synthetic ones that are more manageable for GNN training.

    Diversity

    35
    0.55 stars / hour
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