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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)

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)

RAVEN

The official implementation for "RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models"

lm-extraction-benchmark

semantic-capacity

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

atlas

Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03299)

DimonGen

Diversified Generative Commonsense Reasoning for Explaining Concept Relationships

LAMA

LAnguage Model Analysis

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

wikipedia-category-tree

Several scripts that generate/process Wikipedia category tree