Source code for Truth-Aware Context Selection: Mitigating the Hallucinations of Large Language Models Being Misled by Untruthful Contexts

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Official repository of "Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach" (ACL 2024 Oral)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation (KDD'24)

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

Bridging LLM and Recommender System.

An Open-Source Framework for Prompt-Learning.

[ACL 2024] RDRec: Rationale Distillation for LLM-based Recommendation

[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"

Official implementation of the Composed Image Retrieval using Pretrained LANguage Transformers (CIRPLANT) | ICCV 2021 - Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

LiveBench: A Challenging, Contamination-Free LLM Benchmark

VILA - A multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops)

A fast, effective data attribution method for neural networks in PyTorch

A Survey on Data Selection for Language Models

[ICML 2024] Selecting High-Quality Data for Training Language Models

Scripts for processing the Amazon Reviews 2023 dataset; implementations and checkpoints of BLaIR: "Bridging Language and Items for Retrieval and Recommendation".

An open-source framework for self-supervised recommender systems.

[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?

End-to-end Training for Multimodal Recommendation Systems

Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selection (ICLR 2024 ORAL)

[PGAI@CIKM 2023] PyTorch Implementation of LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking