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WikiChat stops the hallucination of large language models by retrieving data from Wikipedia.
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. :star: support NLP!
Large Language Models are Temporal and Causal Reasoners for Video Question Answering (EMNLP 2023)
Are foundation LMs multilingual knowledge bases? (EMNLP 2023)
Release repo for our work "Token Prediction as Implicit Classification to Identify LLM-Generated Text"
Discovering Universal Geometry in Embeddings with ICA
A Systematic Investigation of Transferability and Robustness of Humor Detection Models
The code implementation of the paper CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning from XJTU.
[EMNLP 2023] Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models
[EMNLP 2023] FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. Support BART, PEGASUS, T5, mT5, BioBART, etc.
HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction
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'
Source code for EMNLP 2023 Findings paper Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses.
Everything that connects the models together to process and return a response
Repo for EMNLP finding Paper "Long-Range Language Modeling with Selective Cache"
Official implementation of "Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation" accepted in EMNLP-Findings 2023
Official implementation of "Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation" accepted in EMNLP-Findings 2023
Common modules which are used a lot throughout EMMA repositories.
Code and Assets for "Benchmarking and Improving Text-to-SQL Generation Under Ambiguity" (EMNLP 2023)