Leezekun

Fi_GNN

[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"

GraphCTR

This repo includes some graph-based CTR prediction models and other representative baselines.

Adv-Instruct-Eval

dialogic

[EMNLP 2022] Code and data for "Controllable Dialogue Simulation with In-Context Learning"

Directional-Stimulus-Prompting

[NeurIPS 2023] Codebase for the paper: "Guiding Large Language Models with Directional Stimulus Prompting"

FnCTOD

Official code for the publication "Large Language Models as Zero-shot Dialogue State Tracker through Function Calling" https//arxiv.org/abs/2402.10466

instruction-following-robustness-eval

InternLM-XComposer

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) excelling in free-form text-image composition and comprehension.

MMSci

MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension

ViTST

[NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."

Leezekun/ViTST

[NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."

Leezekun/Directional-Stimulus-Prompting

[NeurIPS 2023] Codebase for the paper: "Guiding Large Language Models with Directional Stimulus Prompting"

Leezekun/dialogic

[EMNLP 2022] Code and data for "Controllable Dialogue Simulation with In-Context Learning"

Leezekun/MMSci

MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension

Leezekun/Adv-Instruct-Eval

Leezekun/instruction-following-robustness-eval

Leezekun/InternLM-XComposer

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) excelling in free-form text-image composition and comprehension.

Leezekun/pptod

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)

Leezekun/Tool-Planner

Tool-Planner: Dynamic Solution Tree Planning for Large Language Model with Tool Clustering

Leezekun/apachecn-ds-zh

:book: [译] ApacheCN 数据科学译文集

Leezekun/awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Leezekun/FnCTOD

Official code for the publication "Large Language Models as Zero-shot Dialogue State Tracker through Function Calling" https//arxiv.org/abs/2402.10466

Leezekun/chat_templates

Chat Templates for HuggingFace Large Language Models

Leezekun/crowd-sampling-1

Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding

Leezekun/DL4MT

This is the repo of the homework of UCSB CS291K DL4MT.

Leezekun/DSP-Prompting

Leezekun/jailbreak_llms

[CCS'24] A dataset consists of 6,387 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 666 jailbreak prompts).

Leezekun/leezekun.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Leezekun/LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Leezekun/mmsci.github.io

The project website for "MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension"

Leezekun/multiwoz

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

Leezekun/mvts_transformer

Multivariate Time Series Transformer, public version

Leezekun/OPERA

[CVPR 2024] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Leezekun/question_generation

Neural question generation using transformers

Leezekun/Raindrop

Graph Neural Networks for Irregular Time Series

Leezekun/SGConv

Leezekun/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Leezekun/trl

Train transformer language models with reinforcement learning.

Leezekun/tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

Leezekun/zeno-build

Build, evaluate, analyze, and understand LLM-based apps