Guangneng Hu (njuhugn)

njuhugn

Geek Repo

Company:Xidian Univ.

Location:Xi'An, China

Home Page:https://njuhugn.github.io/

Twitter:@StudentGu

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Guangneng Hu's repositories

njuhugn.github.io

Guangneng Hu, Assoc. Prof. @ Xidian Univ, PhD at HKUST, BA/MS at Nanjing Univ.

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ALCE

[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627

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ALLaVA

Harnessing 1.4M GPT4V-synthesized Data for A Lite Vision-Language Model

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clip_text_span

official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"

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data-selection-survey

A Survey on Data Selection for Language Models

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DL-Fairness-Study

This repository is for our ISSTA 2024 paper: A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models

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esci-data

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

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InfDataSel

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

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InfoBatch

Lossless Training Speed Up by Unbiased Dynamic Data Pruning

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LESS

Preprint: Less: Selecting Influential Data for Targeted Instruction Tuning

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LLMRec

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

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LLMs-Finetuning-Safety

We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20 via OpenAI’s APIs.

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LongLoRA

Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

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NineRec

Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System

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QuRating

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

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RecFormer

Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.

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RLMRec

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

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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.

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SELFRec

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

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SOUL

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

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SWE-bench

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

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TASTE

[CIKM 2023] This is the code repo for our CIKM‘23 paper "Text Matching Improves Sequential Recommendation by Reducing Popularity Biases".

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trak

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

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Vit-RGTS

Open source implementation of "Vision Transformers Need Registers"

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Wuerstchen

Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models

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