Preetha Chatterjee
@preethac.bsky.social
Asst. Prof. Drexel Dept. Of Computer Science @drexeluniv | Research on mining software repositories, empirical software engineering
https://preethac.github.io/
https://preethac.github.io/
Reposted by Preetha Chatterjee
LLMs can repair code, but often miss the broader context developers use every day.
We propose a 3-layer knowledge injection framework that incrementally feeds LLMs with bug, repository, and project knowledge.
Preprint of our ASE '25 paper: arxiv.org/pdf/2506.24015
We propose a 3-layer knowledge injection framework that incrementally feeds LLMs with bug, repository, and project knowledge.
Preprint of our ASE '25 paper: arxiv.org/pdf/2506.24015
arxiv.org
August 24, 2025 at 2:53 PM
LLMs can repair code, but often miss the broader context developers use every day.
We propose a 3-layer knowledge injection framework that incrementally feeds LLMs with bug, repository, and project knowledge.
Preprint of our ASE '25 paper: arxiv.org/pdf/2506.24015
We propose a 3-layer knowledge injection framework that incrementally feeds LLMs with bug, repository, and project knowledge.
Preprint of our ASE '25 paper: arxiv.org/pdf/2506.24015
LLMs can repair code, but often miss the broader context developers use every day.
We propose a 3-layer knowledge injection framework that incrementally feeds LLMs with bug, repository, and project knowledge.
Preprint of our ASE '25 paper: arxiv.org/pdf/2506.24015
We propose a 3-layer knowledge injection framework that incrementally feeds LLMs with bug, repository, and project knowledge.
Preprint of our ASE '25 paper: arxiv.org/pdf/2506.24015
arxiv.org
August 24, 2025 at 2:53 PM
LLMs can repair code, but often miss the broader context developers use every day.
We propose a 3-layer knowledge injection framework that incrementally feeds LLMs with bug, repository, and project knowledge.
Preprint of our ASE '25 paper: arxiv.org/pdf/2506.24015
We propose a 3-layer knowledge injection framework that incrementally feeds LLMs with bug, repository, and project knowledge.
Preprint of our ASE '25 paper: arxiv.org/pdf/2506.24015
LLMs are great at generating code, but are they silently spreading vulnerabilities? TLDR: Yes.
In our latest EMSE paper, we look into: when developers unknowingly share vulnerable code with LLMs, do these models proactively raise security red flags? 🧵
👉 Read the paper: arxiv.org/abs/2502.14202
In our latest EMSE paper, we look into: when developers unknowingly share vulnerable code with LLMs, do these models proactively raise security red flags? 🧵
👉 Read the paper: arxiv.org/abs/2502.14202
Do LLMs Consider Security? An Empirical Study on Responses to Programming Questions
The widespread adoption of conversational LLMs for software development has raised new security concerns regarding the safety of LLM-generated content. Our motivational study outlines ChatGPT's potent...
arxiv.org
April 7, 2025 at 1:42 PM
LLMs are great at generating code, but are they silently spreading vulnerabilities? TLDR: Yes.
In our latest EMSE paper, we look into: when developers unknowingly share vulnerable code with LLMs, do these models proactively raise security red flags? 🧵
👉 Read the paper: arxiv.org/abs/2502.14202
In our latest EMSE paper, we look into: when developers unknowingly share vulnerable code with LLMs, do these models proactively raise security red flags? 🧵
👉 Read the paper: arxiv.org/abs/2502.14202
Delighted to share that our paper, led by my PhD advisee Ramtin Ehsani, “Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution,” has been accepted to the Research Track of MSR 2025.
Preprint: soar-lab.github.io//papers/MSR2...
Preprint: soar-lab.github.io//papers/MSR2...
January 21, 2025 at 2:17 AM
Delighted to share that our paper, led by my PhD advisee Ramtin Ehsani, “Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution,” has been accepted to the Research Track of MSR 2025.
Preprint: soar-lab.github.io//papers/MSR2...
Preprint: soar-lab.github.io//papers/MSR2...
Reposted by Preetha Chatterjee
I can now run a GPT-4 class model on my laptop
(The exact same laptop that could just about run a GPT-3 class model 20 months ago)
The new Llama 3.3 70B is a striking example of the huge efficiency gains we've seen in the last two years
simonwillison.net/2024/Dec/9/l...
(The exact same laptop that could just about run a GPT-3 class model 20 months ago)
The new Llama 3.3 70B is a striking example of the huge efficiency gains we've seen in the last two years
simonwillison.net/2024/Dec/9/l...
I can now run a GPT-4 class model on my laptop
Meta’s new Llama 3.3 70B is a genuinely GPT-4 class Large Language Model that runs on my laptop. Just 20 months ago I was amazed to see something that felt …
simonwillison.net
December 9, 2024 at 3:19 PM
I can now run a GPT-4 class model on my laptop
(The exact same laptop that could just about run a GPT-3 class model 20 months ago)
The new Llama 3.3 70B is a striking example of the huge efficiency gains we've seen in the last two years
simonwillison.net/2024/Dec/9/l...
(The exact same laptop that could just about run a GPT-3 class model 20 months ago)
The new Llama 3.3 70B is a striking example of the huge efficiency gains we've seen in the last two years
simonwillison.net/2024/Dec/9/l...
Reposted by Preetha Chatterjee
#NeurIPS2024 paper 3, Assemblage - the dataset of source-to-binary projects compiled from GitHub that you've dreamed of bet never had before! Collab with @krismicinski.bsky.social and a multi-year effort to get to @NeurIPSConf @BoozAllen arxiv.org/abs/2405.03991
December 7, 2024 at 8:01 PM
#NeurIPS2024 paper 3, Assemblage - the dataset of source-to-binary projects compiled from GitHub that you've dreamed of bet never had before! Collab with @krismicinski.bsky.social and a multi-year effort to get to @NeurIPSConf @BoozAllen arxiv.org/abs/2405.03991
🎉 Thrilled to share that our paper (with Ramtin Ehsani and @rezapour.bsky.social) has been accepted at NLBSE'25, co-located with @icseconf.bsky.social! 🎉
Our work shows promise in improving toxicity detection in OSS using moral values & psycholinguistic cues. Preprint coming soon.
Our work shows promise in improving toxicity detection in OSS using moral values & psycholinguistic cues. Preprint coming soon.
December 9, 2024 at 4:42 PM
🎉 Thrilled to share that our paper (with Ramtin Ehsani and @rezapour.bsky.social) has been accepted at NLBSE'25, co-located with @icseconf.bsky.social! 🎉
Our work shows promise in improving toxicity detection in OSS using moral values & psycholinguistic cues. Preprint coming soon.
Our work shows promise in improving toxicity detection in OSS using moral values & psycholinguistic cues. Preprint coming soon.