Ziniu Hu (acbull)

acbull

Geek Repo

Company:@xai-org

Location:Palo Alto

Home Page:http://acbull.github.io

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Organizations
UCLA-DM

Ziniu Hu's starred repositories

DDRL

Repository for Data Distillation for Offline Reinforcement Learning

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MIRAI

Code and Data for "MIRAI: Evaluating LLM Agents for Event Forecasting"

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LLM101n

LLM101n: Let's build a Storyteller

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KDD_AQA

Course project for CS 145 - KDD 2024 AQA Challenge

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ReST-MCTS

ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search (NeurIPS 2024)

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LLM-Self-Control

The official repo of paper "Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller"

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STIC

Enhancing Large Vision Language Models with Self-Training on Image Comprehension.

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path-rag

Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering

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llama3

The official Meta Llama 3 GitHub site

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agent-trust

The code for "Can Large Language Model Agents Simulate Human Trust Behaviors?"

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HLSyn

HLSyn benchmark for paper "Towards a Comprehensive Benchmark for FPGA Targeted High-Level Synthesis"

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rule-guided-music

Official code for Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion (ICML 2024, Oral).

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SPIN

The official implementation of Self-Play Fine-Tuning (SPIN)

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direct-preference-optimization

Reference implementation for DPO (Direct Preference Optimization)

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SciGLM

SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning (NeurIPS D&B Track 2024)

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HLSyn

HLSyn benchmark for paper "Towards a Comprehensive Benchmark for FPGA Targeted High-Level Synthesis"

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AgentBench

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

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Avalon-LLM

This repository contains a LLM benchmark for the social deduction game `Resistance Avalon'

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MolGroup

Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023

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scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

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ScienceQA

Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering".

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