Popular GitHub Repositories for Eacl

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"

[EACL 2024] ICE-Score: Instructing Large Language Models to Evaluate Code

[EACL'21] Non-Autoregressive with Pretrained Language Model

ViDeBERTa: A powerful pre-trained language model for Vietnamese, EACL 2023

[EACL'23] MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages

?? A graph-augmented dense statute retriever. (EACL 2023)

The official repo for the EACL 2023 paper "Quantifying Context Mixing in Transformers"

Code for the EACL 2024 paper: "Small Language Models Improve Giants by Rewriting Their Outputs"

The official code repository for the paper titled "A Federated Approach for Hate Speech Detection" (EACL 2023)

Official Repository for the paper titled "Meta-Learning for Effective Multi-task and Multilingual Modelling" accepted at EACL 2021

This repository contains the system description and the codes that we implemented for participating in EACL-2024 Shared Task-5.

[EACL 2023 main] This Repository provides a Pytorch implementation of Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers

This repository contains the code and dataset for our paper, which was accepted in the main conference at EACL 2024. The paper introduces a novel prompting method, Tree-of-Experts (ToE), to enhance the generation of Winograd Schema Challenge (WSC) instances.

Our source code for EACL2021 workshop: Offensive Language Identification in Dravidian Languages. We ranked 4th, 4th and 3rd in Tamil, Malayalam and Kannada language of this task finally!?

Code, models, and data for "Personalized Text Generation with Fine-Grained Linguistic Control". EACL 2024, Personalization of Generative AI.

[EACL 2021] Self-training Pretrained LMs for Zero- and Few-shot Arabic Sequence Labeling

[Personalize@EACL 2024] LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Models.

Source code of our paper "Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling", Findings of EACL 2024.

Getting language models to quote from their pre-training data (EACL'24)