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Script Generation

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/DaoD/ScriptWriter

공식 코드

ScriptWriter: Narrative-Guided Script Generation

https://github.com/DuNGEOnmassster/VideoGen-of-Thought

공식 코드

VideoGen-of-Thought: A Collaborative Framework for Multi-Shot Video Generation

https://github.com/FreedomIntelligence/BlenderLLM

공식 코드

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

https://github.com/LinDuoming/LogEval

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LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis

https://github.com/OpenDFM/ibsen

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IBSEN: Director-Actor Agent Collaboration for Controllable and Interactive Drama Script Generation

https://github.com/StonyBrookNLP/HAQAE

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Hierarchical Quantized Representations for Script Generation

https://github.com/aichipdesign/chipgptft

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Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework

https://github.com/allenai/interscript

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Learning to Repair: Repairing model output errors after deployment using a dynamic memory of feedback

https://github.com/gersteinlab/ml-bench

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ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

https://github.com/lixinze777/hierarchical-script-generation

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Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation

https://github.com/sanidhyamangal/gru_lstm_tv_script

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LSTM vs. GRU vs. Bidirectional RNN for script generation

https://github.com/snec-lab-psu/llmer

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LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models

https://github.com/thinklab-sjtu/awesome-llm4eda

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LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation

https://github.com/vaew/skyscript-100m

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SkyScript-100M: 1,000,000,000 Pairs of Scripts and Shooting Scripts for Short Drama

https://github.com/vt-nlp/multiscript

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MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks

https://github.com/wuhy68/chatedav1

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ChatEDA: A Large Language Model Powered Autonomous Agent for EDA

https://github.com/SagesAi/terminal-agent

Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools

https://github.com/yongliang-wu/MM-VID

MM-VID: Advancing Video Understanding with GPT-4V(ision)

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.