FranxYao/Distributional-Generalization-in-Natural-Language-Processing

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FranxYao/Distributional-Generalization-in-Natural-Language-Processing

FranxYao

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Distributional Generalization in NLP. A roadmap.

chain-of-thought-hub

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

Jupyter Notebook

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

Jupyter Notebook

dgm_latent_bow

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

FlanT5-CoT-Specialization

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

Jupyter Notebook

Gumbel-CRF

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

PoincareProbe

Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces

Jupyter Notebook

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.

pivot_analysis

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

RDP

Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization

Jupyter Notebook

Complexity-Based-Prompting

Complexity Based Prompting for Multi-Step Reasoning

prompt-handbook

Rules of Thumb 👍 for Writing Good Magical Prompts

nlu-cw2

Natural-Ansewr-Generation

Retrieval-Head-with-Flash-Attention

Efficient retrieval head analysis with triton flash attention that supports topK probability

Jupyter Notebook

SCAN_reproduce