Discovering Universal Geometry in Embeddings with ICA
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Updated
Oct 10, 2024 - Python
Discovering Universal Geometry in Embeddings with ICA
WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
Large Language Models are Temporal and Causal Reasoners for Video Question Answering (EMNLP 2023)
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"
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!
Official implementation of "Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation" accepted in EMNLP-Findings 2023
Improving word mover’s distance by leveraging self-attention matrix
Official implementation of "Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation" accepted in EMNLP-Findings 2023
Code and Assets for "Benchmarking and Improving Text-to-SQL Generation Under Ambiguity" (EMNLP 2023)
The code implementation of the paper CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning from XJTU.
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.
The implementation for EMNLP 2023 paper ”Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators“
Source code for EMNLP 2023 Findings paper Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses.
Release repo for our work "Token Prediction as Implicit Classification to Identify LLM-Generated Text"
[EMNLP 2023] FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. Support BART, PEGASUS, T5, mT5, BioBART, etc.
Repo for EMNLP finding Paper "Long-Range Language Modeling with Selective Cache"
Data and codes for the EMNLP 2023 paper 'LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases'
Are foundation LMs multilingual knowledge bases? (EMNLP 2023)
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