Zhiwei He (zwhe99)

zwhe99

Geek Repo

Company:Shanghai Jiao Tong University

Location:Shanghai, China

Home Page:zwhe99.github.io

Twitter:@zwhe99

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Zhiwei He's repositories

MAPS-mt

[TACL 2024] MAPS enables LLMs🤖 to mimic the human😁 translation process.

SelfTraining4UNMT

[ACL 2022] Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation

WMT22-En-Liv

[WMT 2022] Implementation of TAL-SJTU's system for WMT22 English-Livonian

X-SIR

[ACL 2024] Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models

FeedbackMT

Code of "Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model"

LLM-MT-Eval

{DeepL, Google, WMT-Best, davinci-003, turbo, gpt-4} × {En-De, En-Cs, En-Ru, En-Zh, De-Fr, En-Ja, Uk-En, Uk-Cs, En-Hr, En-Ha, En-Is}

corpus-tools

Some useful scripts to process monolingual or parallel texts.

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String-Group-By-Parallel-Algorithm

Implementation of string group-by algorithm based on radix sort and parallelized using openmp,MPI and MPI+Openmp.

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TimedCommitment

The implementation of bitcoin-based timed-commitment scheme from "Secure Multiparty Computations on Bitcoin"

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zwhe99.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

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latex-beamerposter

The LaTeX beamerposter package

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Simple_IM

This is the homework of C++ Training .

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AgentBench

A Comprehensive Benchmark to Evaluate LLMs as Agents

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Awesome-LLM

This project collects awesome resources (e.g., papers, open-source models) for large language model (LLM)

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Awesome_papers_on_LLMs_detection

The lastest paper about detection of LLM-generated text and code

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bigcode-evaluation-harness

A framework for the evaluation of autoregressive code generation language models.

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camel

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society

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COMET

A Neural Framework for MT Evaluation

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dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

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lm-evaluation-harness

A framework for few-shot evaluation of language models.

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peft

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

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trl

Train transformer language models with reinforcement learning.

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zeno-build

Build, evaluate, analyze, and understand LLM-based apps

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