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Tsinghua University
- Beijing
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14:16
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GPT-Image-2 PPT Generator Skill for Creating Image-Based PowerPoint Presentations in Codex and Other Skill-Compatible Agents
SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.
🎰 Interactive Claude Code /buddy pet reroller. Pick species, rarity, eyes, hat, shiny. EN/中文.
A smart skill search engine for agents with multi-field retrieval and quality signals.
The Synthetic-Persona-Chat dataset is a synthetically generated persona-based dialogue dataset. It extends the original Persona-Chat dataset.
An educational resource to help anyone learn deep reinforcement learning.
[COLM 2025] Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
⚡ Dynamically generated stats for your github readmes
🏆 Add dynamically generated GitHub Stat Trophies on your readme
A high-throughput and memory-efficient inference and serving engine for LLMs
The code repository for the paper: Peijie et al., Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE TKDE, 2023.
A commenting system powered by GitHub Discussions. 💬 💎
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
natbib compatible splncs04.bst (Springer LNCS) BibTeX Style File built using a docstrip with the conventional merlin.mbs master file.
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Generative Agents: Interactive Simulacra of Human Behavior
The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight]
Datasets for Instruction Tuning of Large Language Models
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
⏳ ChatLog: Recording and Analysing ChatGPT Across Time
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.