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Anhui Polytechnic University
- Wuhu, Anhui, China.
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18:03
(UTC +08:00) - https://www.junjie-chen.info
- https://orcid.org/0009-0001-5288-048X
- @coderchen01
- in/jorji-chen
Highlights
- Pro
Starred repositories
A curated list of papers related to constrained decoding of LLM, along with their relevant code and resources.
Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models
✨✨VITA: Towards Open-Source Interactive Omni Multimodal LLM
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
An implementation of LazyLLM token pruning for LLaMa 2 model family.
Python package contains a set of basic tools that can help to create a markdown file.
The official GitHub page for the survey paper "A Survey of Large Language Models".
📚 Collection of token reduction for model compression resources.
MLNLP社区用来帮助缩短参考文献的工具。A tool for simplifying bibtex with official info
A rule-based tunnel for Android.
A generative world for general-purpose robotics & embodied AI learning.
Continuation of Clash Verge - A Clash Meta GUI based on Tauri (Windows, MacOS, Linux)
Large Concept Models: Language modeling in a sentence representation space
Integrating ChatGPT into your browser deeply, everything you need is here
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…
[NeurIPS'24 Spotlight] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces inference latency by up to 10x for pre-filling on an A100 whil…
Unified KV Cache Compression Methods for Auto-Regressive Models
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
This repo contains the dataset for the EMNLP 2023 (Findings) paper "Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models"