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[ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Gemma open-weight LLM library, from Google DeepMind
Python wrapper for an unofficial Yahoo Finance API
Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
AIS is an evaluation framework for assessing whether the output of natural language models only contains information about the external world that is verifiable in source documents, or "Attributabl…
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[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624
A summary of must-read papers for Neural Question Generation (NQG)
Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing
This project maintains a reading list for general text generation tasks
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
SimpleQuestions code corresponding to publication at https://arxiv.org/abs/1604.00727
ACL 2022: BRIO: Bringing Order to Abstractive Summarization
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
The repository for paper “Incorporating Ranking Context for End-to-End BERT Re-ranking” in ECIR 2022.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Author: Wenhao Yu (wyu1@nd.edu). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.
Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
Provides a common interface to many IR ranking datasets.
Evaluation software used in the Text Retrieval Conference
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
novel deep learning research works with PaddlePaddle
Collection of papers and resources for data augmentation for NLP.
Neural question generation using transformers