ResourcesPaper
Explore 2077AI's published papers on AI innovation, ethical frameworks, and generative models. Designed for researchers and developers, it bridges theory with real-world impact. Download, cite, and collaborate to advance AI's future.
Title
Aspect
Date
YuE: Scaling Open Foundation Models for Long-Form Music Generation
Music Generate
25-03
SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
Benchmark
25-02
MetaOcc: Surround-View 4D Radar and Camera Fusion Framework for 3D Occupancy Prediction with Dual Training Strategies
Occ Model
25-01
OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving
AD Datasets
24-12
OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations
OCR Bench
24-12
AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions
Agent
24-10
A Comparative Study on Reasoning Patterns of OpenAI's o1 Model
Model Analyze
24-10
KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
Reasoning Benchmark
24-10
PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents
VLM Dataset
24-06
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series
LLM & Datasets
24-05
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