emnlp2023 topic

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"

shmsw25

WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.

stanford-oval

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,...

DmitryRyumin

Large Language Models are Temporal and Causal Reasoners for Video Question Answering (EMNLP 2023)

mlvlab

Are foundation LMs multilingual knowledge bases? (EMNLP 2023)

daniel-furman

Visual and Embodied Concepts evaluation benchmark

TobiasLee

Discovering Universal Geometry in Embeddings with ICA

shimo-lab

The implementation for EMNLP 2023 paper ”Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators“

ChanLiang

Release repo for our work "Token Prediction as Implicit Classification to Identify LLM-Generated Text"

MarkChenYutian