activity
20222024
most citedEnhancing Automated Software Traceability by Transfer Learning from Open-World Data

4 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20241 cited

ChatEL: Entity Linking with Chatbots

Yifan Ding, Qingkai Zeng, Tim Weninger

Entity Linking (EL) is an essential and challenging task in natural language processing that seeks to link some text representing an entity within a document or sentence with its c…

cs.OS2024

When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization

Zicheng Wang, Tiejin Chen, Qinrun Dai +3

Compartmentalization effectively prevents initial corruption from turning into a successful attack. This paper presents O2C, a pioneering system designed to enforce OS kernel compa…

cs.CL20232 cited

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Zhihan Zhang, Shuohang Wang, Wenhao Yu +6

Large language models (LLMs) can perform a wide range of tasks by following natural language instructions, without the necessity of task-specific fine-tuning. Unfortunately, the pe…

cs.AI20233 cited

MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning

Zhenwen Liang, Dian Yu, Xiaoman Pan +4

Reasoning in mathematical domains remains a significant challenge for relatively small language models (LMs). Many current methods focus on specializing LMs in mathematical reasoni…

cs.SE20224 cited

Enhancing Automated Software Traceability by Transfer Learning from Open-World Data

Jinfeng Lin, Amrit Poudel, Wenhao Yu +3

Software requirements traceability is a critical component of the software engineering process, enabling activities such as requirements validation, compliance verification, and sa…