Popular GitHub Repositories for Findings

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

[ACL2024 Findings] Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

Implementation of a U-net complete with efficient attention as well as the latest research findings

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: NAACL-2022.

PyTorch code for "Fine-grained Image Captioning with CLIP Reward" (Findings of NAACL 2022)

[Paper][ACL 2024 Findings] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

DialogSum: A Real-life Scenario Dialogue Summarization Dataset - Findings of ACL 2021

[EMNLP 2024 Findings] OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.

Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021

[NAACL 2022 Findings] Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction

ACL 2023 (Findings) - BertNet: Harvesting Knowledge Graphs from Pretrained Language Models

We leverage 14 datasets as OOD test data and conduct evaluations on 8 NLU tasks over 21 popularly used models. Our findings confirm that the OOD accuracy in NLP tasks needs to be paid more attention to since the significant performance decay compared to ID accuracy has been found in all settings.

[ICLR 2025 Oral] The implementation of paper "Language Representations Can be What Recommenders Need: Findings and Potentials"

Code and pretrained model for paper "Learning to Summarize Radiology Findings"

Codes for our paper "JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs" (ACL 2021 Findings)

LLM Testing Findings Templates

Our open source implementation of MiniLMv2 (https://aclanthology.org/2021.findings-acl.188)

Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)

Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)