WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
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Updated
Sep 5, 2024 - Python
WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"
Large Language Models are Temporal and Causal Reasoners for Video Question Answering (EMNLP 2023)
EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning, deep learning, and natural language processing with code included. ⭐ support NLP!
This repository includes the code implementation of the paper Improving Pacing in Long-Form Story Planning by Yichen Wang, Kevin Yang, Xiaoming Liu, and Dan Klein.
Release repo for our work "Token Prediction as Implicit Classification to Identify LLM-Generated Text"
HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction
[EMNLP 2023] Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models
The code implementation of the paper CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning from XJTU.
The implementation for EMNLP 2023 paper ”Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators“
Code and Assets for "Benchmarking and Improving Text-to-SQL Generation Under Ambiguity" (EMNLP 2023)
Source repository for Editing Common Sense in Transformers (EMNLP 2023)
Common modules which are used a lot throughout EMMA repositories.
Are foundation LMs multilingual knowledge bases? (EMNLP 2023)
Official implementation of "Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation" accepted in EMNLP-Findings 2023
Everything that connects the models together to process and return a response
Discovering Universal Geometry in Embeddings with ICA
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