Beast code in Giters

Rami's repositories

FEVEROUS

Repository for Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS), accepted to NeurIPS 2021 Dataset and Benchmarks and used for the FEVER Workshop Shared Task at EMNLP2021.

Language:PHPApache-2.065 2 25

Zero-shot-NERC

Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification, published in ACL 2021.

Language:PythonGPL-3.011 2 4

AuT-Few

AuT-Few: Automated Few-shot Classification with Instruction-Finetuned Language Models

Language:PythonApache-2.06 1 2

AdMIRaL

Models and Code to "Autoregressive Multi-hop Document Retrieval Guided by Natural Logic" (AdMIRaL), accepted to EMNLP2022.

5 10

3DScanner.RaspberryPi

3DScanner - implemented with a Raspberry Pi

Language:JavaGPL-2.02 40

feverous-wip

Language:PythonMIT1 10

QA-NatVer

Repository for QA-NatVer: Question Answering for Natural Logic-based Fact Verification. QA-NatVer obviates the need for annotated training data while still relying on a interpretable and deterministic inference system. [EMNLP2023]

Language:Python1 3 1

Smart-Pathing

Intelligent Car Movement realized with MPI/Open-MP

Language:C++1 2 3

autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

Language:PythonApache-2.0000

BenchmarkingZeroShot

Language:Python000

CapsNet-Keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

Language:PythonMIT000

CapsNet-keras-imdb

Language:PythonMIT000

Damegdx

Simple Draughtsgame for mobile devices

Language:Java010

GuildWars2_MusicCreator

Simple Bot for Keyinputs in Gw2

Language:C++000

learning-to-generate-answers-with-citations

Repository for CaLF: Learning to Generate Answers with Citations via Factual Consistency Models. CaLF is a weakly-supervised fine-tuning method leveraging factual consistency models to improve the quality of generated answers and their citations. [ACL 2024]