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AI-powered research workflow automation for OpenClaw.
Awesome-LLMs-for-Clustering is a curated collection of state-of-the-art methods, influential papers, open-source codes, and benchmark datasets related to applying large language models for clustering
[Up-to-date] Awesome Agentic Deep Research Resources
Trae Agent is an LLM-based agent for general purpose software engineering tasks.
[SIGGRAPH 2025] Official Repo for Paper - GaVS: 3D-Grounded Video Stabilization via Temporally-Consistent Local Reconstruction and Rendering
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
Official implementation of MASS: Multi-Agent Simulation Scaling for Portfolio Construction
[ACL 2025] FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
Display your (or someone else's) google scholar citation when you open a terminal.
Collect the awesome works evolved around reasoning models like O1/R1 in visual domain
[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges
🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"
A list of data-efficient and data-centric LLM (Large Language Model) papers. Our Survey Paper: Towards Efficient LLM Post Training: A Data-centric Perspective
A list of data-efficient and data-centric LLM (Large Language Model) papers. Our Survey Paper: Towards Efficient LLM Post Training: A Data-centric Perspective
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
[TPAMI 2025] Towards Visual Grounding: A Survey
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
NeurIPS 2024
Official PyTorch implement for paper: A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
Test-time Adaptation, Test-time Training and Source-free Domain Adaptation