jiayingwu19

mrf-modeling

Data and models for Misinfo Reaction Frames paper.

LLM-for-misinformation-research

Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.

LLaMA-Factory

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

LLM-Agent-Survey

TG-LLM

(ACL 24 main) Large Language Models Can Learn Temporal Reasoning

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

MATRES

TRAM-Benchmark

TRAM: Benchmarking Temporal Reasoning for Large Language Models (Findings of ACL 2024)

tracie

G-Retriever

Repository for G-Retriever

UoT

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

Trust_TELLER

The official implementation of our paper "TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection".

Myth-QA

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

RAG-Survey

DPR

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

Time-Sensitive-QA

Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"

MenatQA

Code and Data for EMNLP2023 Findings Paper "MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models"

newspaper

newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:

realtimeqa_public

llama-recipes

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

qaap

[EMNLP 2023] Question Answering as Programming for Solving Time-Sensitive Questions

TimeBench

The repository for ACL 2024 paper "TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models"

Awesome-LLM-with-RAG

A curated list of Large Language Model with RAG

Awesome-Graph-LLM

A collection of AWESOME things about Graph-Related LLMs.

Awesome-LLMs-Evaluation-Papers

The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.

TimeDial

Temporal Commonsense Reasoning in Dialog

TempReason

self-rag

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

self-ask

Code and data for "Measuring and Narrowing the Compositionality Gap in Language Models"