🚨 Deadline extended! 🚨
Submit your work to #nlbse2026 (co-located with @icseconf #icse2026 🇧🇷).
📅 NEW Paper deadline: Nov 03, 2025
Explore NLP & LLMs for Software Engineering 🤖💻
When i started studying computer science at the beginning of the 1990ies, my answer to friends asking me about it was: Computer Scientists are a kind of species aiming at getting rid of themselves by working on automation to take over their jobs.
Looks like we are getting closer to that point.
#ai #vibecoding #programming #llm4code #coding #developer #softwaredevelopment
Also at #FSE2025: Our paper assessing LLM's capabilities to handle comments in languages other than English (we look at Chinese, Dutch, English, Greek, and Polish).
Today's metrics for assessing success "fail to reliably differentiate meaningful completions from random noise"
The International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE) is an annual forum for researchers and practitioners to present, discuss and exchange ideas, results, expertise and experiences in construction and/or application of predictive models, artificial intelligence, and data analytics in software engineering. PROMISE encourages researchers to publicly share their data in order to provide interdisciplinary research between the software engineering and data mining communities, and seek for verifiable and repeatable experiments that are useful in ...
Implication of different #AI models in autonomous vehicles
https://www.listentoyourmuse.com/implication-of-different-ai-models-in-autonomous-vehicles
If you are interested in the subject of the reliability and ethics of autonomous vehicles, and would like us to cover it in another issue, please let us know.
#Vehicles #AutonomousVehicles #DeepLearning #ContextualAI #LLM #llm4code #SelfDriving #machinelearning #Technology
Having looked at the different levels of autonomous vehicle automation, let's move on to the different layers that make up the software of autonomous vehicles. In the software section, we can distinguish 3 main layers: scene perception and localization, Motion planning and decision-making and Simula
Curious about how to build and deploy real-world LLM applications? Our new book, LLM Engineer's Handbook is here to guide you through this entire process with a practical use -case.
Heres where u can find this amazing resource:
https://packt.link/fR4Bb
#llmops #LLMs #awssagemaker #llama #web3 #LLM4code #llmsecurity
What's the best dataset of non-trivial #LLM4code benchmarks for Java?
CoderEval code is too simple for my purposes, and ClassEval only seems to have Python?
(preferably realistic code, not programming competitions)
🚀 Introducing ReSym (CCS'24): our new binary analysis technique, an LLM+static analysis solution that recovers source code from binaries by generating names, types, and layouts of variables and data structures from stripped binaries. Discover more in our full paper : https://tinyurl.com/resym24
(with coauthors Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, and Xiangyu Zhang)
#LLM4code #CyberSecurity #ReverseEngineering #AI #LLM #MachineLearning #CCS #CCS2024