Browse State-of-the-Art › Script Generation
Script Generation
18 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
18 shown of 18 papers with code (44 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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4 Feb 2025 1 repository listedUnlike prior approaches focusing on coding script generation, LLMER translates natural language inputs into JSON data, significantly reducing the likelihood of application crashes and processing latency.
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16 Dec 2024 1 repository listedIn this paper, we present BlenderLLM, a novel framework for training LLMs specifically for CAD tasks leveraging a self-improvement methodology.
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3 Dec 2024 1 repository listed Syntology ran 2 of 3 samples · 1 unverifiedCross-Shot Consistency: We ensure temporal and identity consistency by leveraging identity-preserving (IP) embeddings across shots, which are automatically created from the narrative.
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18 Aug 2024 1 repository listedWe perform keyframe extraction and annotation on each episode to obtain about 10, 000, 000 shooting scripts.
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2 Jul 2024 1 repository listedThese findings provide insights into the strengths and weaknesses of LLMs in multilingual environments and the effectiveness of different prompt strategies.
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1 Jul 2024 1 repository listed Syntology ran 7 of 7 samples · 0 unverifiedTo evaluate the framework, we create a novel drama plot that involves several actor agents and check the interactions between them under the instruction of the director agent.
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17 Mar 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)Our 13B model (ChipGPT-FT) has a pass rate improvement compared with GPT-3.
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28 Dec 2023 1 repository listedSince circuit can be represented with HDL in a textual format, it is reasonable to question whether LLMs can be leveraged in the EDA field to achieve fully automated chip design and generate circuits with improved…
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17 Dec 2023 1 repository listedThis research aims to experimentally investigate the effectiveness of LLMs, specifically exemplified by ChatGPT, for generating unit test scripts for Python programs, and how the generated test cases compare with those…
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16 Nov 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverifiedDespite Large Language Models (LLMs) like GPT-4 achieving impressive results in function-level code generation, they struggle with repository-scale code understanding (e.
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30 Oct 2023 1 repository listedWe present MM-VID, an integrated system that harnesses the capabilities of GPT-4V, combined with specialized tools in vision, audio, and speech, to facilitate advanced video understanding.
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8 Oct 2023 1 repository listedAutomatically generating scripts (i.
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20 Aug 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedThe integration of a complex set of Electronic Design Automation (EDA) tools to enhance interoperability is a critical concern for circuit designers.
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18 May 2023 1 repository listedGoal-oriented Script Generation is a new task of generating a list of steps that can fulfill the given goal.
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16 Dec 2021 1 repository listedOur goal is for an LM to continue to improve after deployment, without retraining, using feedback from the user.
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20 May 2020 1 repository listedIn dialogue systems, it would also be useful to drive dialogues by a dialogue plan.
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12 Aug 2019 1 repository listedIn this paper, a case study is presented on how different sequence to sequence deep learning models perform in the task of generating new conversations between characters as well as new scenarios on the basis of a…
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28 Aug 2018 1 repository listedThis permits the decoder to softly decide what portions of the latent hierarchy to condition on by attending over the value embeddings for a given setting.
Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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