Shibo Hao (Ber666)

Ber666

Geek Repo

Company:UC San Diego

Location:San Diego

Home Page:https://ber666.github.io/

Twitter:@Ber18791531

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Shibo Hao's repositories

ToolkenGPT

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings - NeurIPS 2023 (oral)

RAP

Reasoning with Language Model is Planning with World Model

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spreadsheet_paperlist

A spreadsheet script for automatically paper meta-data completion

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awesome-language-agents

List of language agents based on paper "Cognitive Architectures for Language Agents"

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BERT-JRE

A simple but effective approach for joint entity and relation extraction on ACE 05 dataset

Chain-of-ThoughtsPapers

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

Prompt4ReasoningPapers

Repository for the ACL2023 paper "Reasoning with Language Model Prompting: A Survey".

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SentimentAnalysis

Sentiment analysis on IMDB dataset, based on LSTM and word attention, implemented with PyTorch

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2018fall-cs-master-program-info

A collection of information for 2018 fall CS master programs.

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EasyFile

Software Engineering Course Project of Peking University Fall Semester 2021

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FakeTextDetect

A bert-based model implemented in PyTorch, for distinguishing texts generated by machine with human-written text.

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homework_fall2021

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

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dsc204a-w24

Website for DSC 204a, Winter 2024

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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.

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llama3

The official Meta Llama 3 GitHub site

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llm-reasoners-gfn

A library for advanced large language model reasoning

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LM-reasoning

This repository contains a collection of papers and resources on Reasoning in Large Language Models.

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notes

My notes for research/courses

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