Methods This section provides a detailed description of how we used LLMs, prompt engineering techniques and datasets to automatically generate and evaluate tests for OpenACC. Our choices were grounded in recent benchmarks and related work. Results In this section, we summarize the results from our...
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While promising, these findings highlight the need for future external validation to confirm the reliability and broader applicability of these methods.doi:10.1186/s12911-024-02677-yCheligeer, KenProvincial Research Data Services, Alberta Health Services, Calgary, CanadaWu, Guosong...
Development process Systematic and rigorous, often following methods like Evidence-Centered Design (ECD). Can be labor-intensive. Compiles a set of relevant questions or tasks, then performs expert annotation or crowdsourcing to label ground truth answers. Less labor-intensive per item. Number of it...
@RestController public class UserController { @PostMapping("/users") ResponseEntity<String> addUser(@Valid @RequestBody User user) { // persisting the user return ResponseEntity.ok("User is valid"); } // standard constructors / other methods } ...
Methods Evaluation Criteria The evaluation criteria for assessing the LLMs were summarized by a thorough literature review. The evaluation criteria were then optimized using the Delphi method [23]. The general process involved sending the criteria to designated experts in the field and obtaining their...
We investigated the potential of large language models (LLMs) in developing dataset validation tests. We carried out 96 experiments each for both GPT-3.5 and GPT-4, examining different prompt scenarios, learning modes, temperature settings, and roles. The prompt scenarios were ...
The need for citation verification has become more pressing with the increasing adoption oflarge language models (LLMs). Recent advances inretrieval-augmented generation (RAG)methods help reduce hallucinations in generated content. However, significant challenges remain in establishing trustworthi...
An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query
To break down the problem for LLMs, AlphaTrans leverages program analysis to decompose the program into fragments and translates them in the reverse call order. We leveraged AlphaTrans to translate ten real-world open-source projects consisting of <836, 8575, 2719> classes, methods, and tests....