Add auto-scrape workflow#6
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…ination for LLM Benchmarking.；2. LspFuzz: Hunting Bugs in Language Servers.；3. Word Closure-Based Metamorphic Testing for Machine Translation.；4. SURE: A Visualized Failure Indexing Approach Using Program Memory Spectrum.；5. Metamorphic Testing of Image Captioning Systems via Image-Level Reduction.；...
…ination for LLM Benchmarking.；2. LspFuzz: Hunting Bugs in Language Servers.；3. Word Closure-Based Metamorphic Testing for Machine Translation.；4. SURE: A Visualized Failure Indexing Approach Using Program Memory Spectrum.；5. Metamorphic Testing of Image Captioning Systems via Image-Level Reduction.；...
…ination for LLM Benchmarking.；2. LspFuzz: Hunting Bugs in Language Servers.；3. Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval.；4. When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?；5. MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing.；...
…ination for LLM Benchmarking.；2. LspFuzz: Hunting Bugs in Language Servers.；3. Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval.；4. When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?；5. MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing.；...
…ination for LLM Benchmarking.；2. LspFuzz: Hunting Bugs in Language Servers.
…ination for LLM Benchmarking.；2. LspFuzz: Hunting Bugs in Language Servers.；3. Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval.；4. When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?；5. MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing.；...
…ination for LLM Benchmarking.；2. LspFuzz: Hunting Bugs in Language Servers.；3. Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval.；4. When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?；5. MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing.；...
…ination for LLM Benchmarking.；2. LspFuzz: Hunting Bugs in Language Servers.
…ination for LLM Benchmarking.；2. LspFuzz: Hunting Bugs in Language Servers.；3. Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval.；4. When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?；5. MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing.；...
…ination for LLM Benchmarking.；2. LspFuzz: Hunting Bugs in Language Servers.
…ination for LLM Benchmarking.；2. LspFuzz: Hunting Bugs in Language Servers.
… Theory and Practice.；2. A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair.；3. How far are app secrets from being stolen? a case study on android.；4. On state reverting in solidity smart contracts: Developer practices, fault categorization, and tool evaluation.；5. Understanding and Characterizing Mock Assertions in Unit Tests.；...
This workflow automates the scraping of publications, runs on a schedule, and commits updates if changes are detected.
chore: auto update publications
chore: auto update publications
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This pull request introduces automated publication data updates, improves data quality checks, and adds a new submodule for publication scraping. The main changes include a new GitHub Actions workflow for scheduled scraping and updating, scripts for detecting missing or duplicate publication metadata, and relaxed validation rules to allow empty venue fields. These enhancements streamline the process of keeping publication data current and ensure better data integrity.