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University of Illinois Urbana-Champaign Champaign, IL ‧ Public ‧ 4-year
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This is an official implementation for Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation.
🦜🔗 Build context-aware reasoning applications
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A curated list of reinforcement learning with human feedback resources (continually updated)
A framework for the evaluation of autoregressive code generation language models.
The PYthoN General UnIt Test geNerator is a test-generation tool for Python
👨💻 An awesome and curated list of best code-LLM for research.
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓
A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights i…
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
Reading list for research topics in multimodal machine learning
✨✨Latest Advances on Multimodal Large Language Models
A curated list of awesome adversarial machine learning resources
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Book about interpretable machine learning
A collection of research papers and software related to explainability in graph machine learning.
A collection of research materials on explainable AI/ML
A curated list of trustworthy deep learning papers. Daily updating...
GitHub Repo associated with the O'Reilly book "Practicing Trustworthy Machine Learning"