Trending Research
GraphFM: A Comprehensive Benchmark for Graph Foundation Model
nyushcs/graphfm
•
•
To address these questions, we have constructed a rigorous benchmark that thoroughly analyzes and studies the generalization and scalability of self-supervised Graph Neural Network (GNN) models.
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Compared to both open-source and proprietary models, InternVL 1. 5 shows competitive performance, achieving state-of-the-art results in 8 of 18 benchmarks.
Ranked #10 on
Visual Question Answering
on MM-Vet
Decoupled Low-light Image Enhancement
hanxuhfut/decoupled-low-light-image-enhancement
•
•
On the other hand, since the parameter matrix learned from the first stage is aware of the lightness distribution and the scene structure, it can be incorporated into the second stage as the complementary information.
Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models
Even for a conservative estimate, 80% of enterprise data reside in unstructured files, stored in data lakes that accommodate heterogeneous formats.
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
Moreover, given the same computational resources, a ReNO-optimized one-step model outperforms widely-used open-source models such as SDXL and PixArt-$\alpha$, highlighting the efficiency and effectiveness of ReNO in enhancing T2I model performance at inference time.
YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction
The difficulty of the information extraction task lies in dealing with the task-specific label schemas and heterogeneous data structures.
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
kihopark/llm_categorical_hierarchical_representations
•
•
Understanding how semantic meaning is encoded in the representation spaces of large language models is a fundamental problem in interpretability.
OpenCOLE: Towards Reproducible Automatic Graphic Design Generation
Automatic generation of graphic designs has recently received considerable attention.
3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
The integration of language and 3D perception is crucial for developing embodied agents and robots that comprehend and interact with the physical world.
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information
UlionTse/mlgb
•
•
By infusing personalized selection of Embedding and personalized modification of DNN parameters, PEPNet tailored to the interests of each individual obtains significant performance gains, with online improvements exceeding 1\% in multiple task metrics across multiple domains.
