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Found 10 papers, 3 papers with code
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem
With the AI revolution in place, the trend for building automated systems to support professionals in different domains such as the open source software systems, healthcare systems, banking systems, transportation systems and many others have become increasingly prominent.
How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries
We query a series of LLMs -- Llama-2-13b, Llama-2-7b, Mistral-V2 and Mistral 8X7B -- and ask them to generate both text and instruction-centric responses.
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context
In the continuously advancing AI landscape, crafting context-rich and meaningful responses via Large Language Models (LLMs) is essential.
Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models
In the rapidly advancing field of artificial intelligence, the concept of Red-Teaming or Jailbreaking large language models (LLMs) has emerged as a crucial area of study.
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem
In this paper, we delve into the advancement of domain-specific Large Language Models (LLMs) with a focus on their application in software development.
Modeling interdisciplinary interactions among Physics, Mathematics & Computer Science
Interdisciplinarity has over the recent years have gained tremendous importance and has become one of the key ways of doing cutting edge research.
Evaluating the Ebb and Flow: An In-depth Analysis of Question-Answering Trends across Diverse Platforms
Community Question Answering (CQA) platforms steadily gain popularity as they provide users with fast responses to their queries.
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities
To facilitate the task of the moderators, in this work, we have tackled two significant issues for the askubuntu CQA platform: (1) retrieval of duplicate questions given a new question and (2) duplicate question confirmation time prediction.
Community Question Answering
Duplicate-Question Retrieval
+1
Is this bug severe? A text-cum-graph based model for bug severity prediction
Repositories of large software systems have become commonplace.
Joint Autoregressive and Graph Models for Software and Developer Social Networks
This "social network of code" is rarely studied by social network researchers.
