[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

[EMNLP 2023] Code and Data for "SOUL: Towards Sentiment and Opinion Understanding of Language"

Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets

The implementation for the work "CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation".

Source Code for NeurIPS 2023 paper "Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns"

Repository for the paper: dense and aligned captions (dac) promote compositional reasoning in vl models

This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu , Terra Blevins…

A simple and effective LLM pruning approach.

Open-source code of TransGTR.

Official github repo for C-Eval, a Chinese evaluation suite for foundation models [NeurIPS 2023]

The official repository of ACL2023 paper: Understanding Client Reactions in Online Mental Health Counseling

The PyTorch implementation of ClickPrompt

Codes and Datasets for our ACL 2023 paper on cognitive reframing of negative thoughts

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

Codes for ACL 2023 paper: Reasoning Implicit Sentiment with Chain-of-Thought Prompting

Evaluation data, LLMs query code and results for "Large Language Models as Zero-Shot Conversational Recommenders" on CIKM 2023.