Yao Fu

chain-of-thought-hub. Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

Long-Context-Data-Engineering. Implementation of paper Data Engineering for Scaling Language Models to 128K Context

Deep-Generative-Models-for-Natural-Language-Processing. DGMs for NLP. A roadmap.

GPT-Bargaining. Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback

FlanT5-CoT-Specialization. Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.

dgm_latent_bow. Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words

Distributional-Generalization-in-Natural-Language-Processing. Distributional Generalization in NLP. A roadmap.

PoincareProbe. Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces

Gumbel-CRF. Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

Partially-Observed-TreeCRFs. Implementation of AAAI 21 paper: Nested Named Entity Recognition with Partially Observed TreeCRFs

franxyao.github.io.

Language-Model-Pretraining-for-Text-Generation. LM pretraining for generation, reading list, resources, conference mappings.

Complexity-Based-Prompting. Complexity Based Prompting for Multi-Step Reasoning

pivot_analysis. Implementation of INLG 19 paper: Rethinking Text Attribute Transfer: A Lexical Analysis

Retrieval-Head-with-Flash-Attention. Efficient retrieval head analysis with triton flash attention that supports topK probability

RDP. Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization

nlu-cw2. Python

Natural-Ansewr-Generation. Python

LongVA-extend. Long Context Transfer from Language to Vision

Drone-Motion-Tracking. C++

SCAN_reproduce. Python

hfai-models. HFAI deep learning models

cs-self-learning. 计算机自学指南

Multi-Vehicle-Multi-Peroid-Dynamic-Tabu-Search. C++

PromptPapers. Must-read papers on prompt-based tuning for pre-trained language models.