Liangming Pan

Question-Generation-Paper-List. A summary of must-read papers for Neural Question Generation (NQG)

self-correction-llm-papers. This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.

Logic-LLM. The project page for "LOGIC-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning"

Unsupervised-Multi-hop-QA. Codes for NAACL 2021 Paper "Unsupervised Multi-hop Question Answering by Question Generation"

Zero-shot-Fact-Verification. Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

ProgramFC. Codes for ACL 2023 Paper "Fact-Checking Complex Claims with Program-Guided Reasoning"

Fact-Checking-Generalization. Codes and Data for AACL 2023 Paper "Investigating Zero- and Few-shot Generalization in Fact Verification"

ContraQA. Data and Codes for AACL-IJCNLP 2023 Paper "Attacking Open-domain Question Answering by Injecting Misinformation"

RL-for-Question-Generation. This repository contains codes and models for the paper: Exploring Question-Specific Rewards for Generating Deep Questions (COLING 2020).

LiangmingPan. My HomePage

OpenNQG. Python

SG-Deep-Question-Generation. This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).