Type prediction
42 papers with code • 3 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Type prediction
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Libraries
Use these libraries to find Type prediction models and implementations
ManyTypes4TypeScript
Latest papers
Comprehensive Cognitive LLM Agent for Smartphone GUI Automation
xbmxb/aagent
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Large language models (LLMs) have shown remarkable potential as human-like autonomous language agents to interact with real-world environments, especially for graphical user interface (GUI) automation.
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
We conduct extensive experiments in both event type prediction and uncertainty quantification of arrival time.
Learning Type Inference for Enhanced Dataflow Analysis
joernio/joernti-codetidal5
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Comparing our approach against recent neural type inference systems, our model outperforms the current state-of-the-art by 7. 85% on the ManyTypes4TypeScript benchmark, achieving 71. 27% accuracy overall.
You Only Look at Screens: Multimodal Chain-of-Action Agents
cooelf/Auto-UI
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Autonomous user interface (UI) agents aim to facilitate task automation by interacting with the user interface without manual intervention.
Type Prediction With Program Decomposition and Fill-in-the-Type Training
TypeScript and Python are two programming languages that support optional type annotations, which are useful but tedious to introduce and maintain.
TypeT5: Seq2seq Type Inference using Static Analysis
There has been growing interest in automatically predicting missing type annotations in programs written in Python and JavaScript.
Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing
We also found MCCE is very effective in fine-grained (130 types) and coarse-grained (9 types) entity typing.
Leveraging Wikidata's edit history in knowledge graph refinement tasks
alejgh/wikidata-edithist-refinement
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A number of solutions have been proposed to that end, ranging from rule-based approaches to the use of probabilistic methods, but there is an element that has not been considered yet: the edit history of the graph.
ManyTypes4TypeScript: A Comprehensive TypeScript Dataset for Sequence-Based Type Inference
In this paper, we present ManyTypes4TypeScript, a very large corpus for training and evaluating machine-learning models for sequence-based type inference in TypeScript.
PhaTYP: Predicting the lifestyle for bacteriophages using BERT
In this work, we develop PhaTYP (Phage TYPe prediction tool) to improve the accuracy of lifestyle prediction on short contigs.
