Jie Huang

LM-reasoning. This repository contains a collection of papers and resources on Reasoning in Large Language Models.

LM_PersonalInfoLeak. The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)

domain-relevance. The implementation for "Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach" (ACL '21)

open-relation-modeling. The implementation for "Open Relation Modeling: Learning to Define Relations between Entities" (Findings of ACL '22)

DEER. The implementation for "DEER: Descriptive Knowledge Graph for Explaining Entity Relationships" (EMNLP '22)

NHNE. The implementation for "Nonuniform Hyper-Network Embedding with Dual Mechanism" (TOIS)

VER. The official repo for "VER: Unifying Verbalizing Entities and Relations" (Findings of EMNLP '23)

CDM. The code and data for "Understanding Jargon: Combining Extraction and Generation for Definition Modeling" (EMNLP '22)

RAVEN. The implementation for "RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models" (COLM '24)

GGN. The implementation for "A Game Generative Network Framework with Its Application to Relationship Inference"

S-TEST. The implementation for "Can Language Models Be Specific? How?" (ACL 2023 Findings)

lm-extraction-benchmark. Python

semantic-capacity. The implementation for "Exploring Semantic Capacity of Terms" (EMNLP '20).