77 citations · 79 across the 5 of their papers we have counts for
5 papers
Active-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue Reports
Haobin Li, Ping Deng, Weizhong Qian +4
Coding agents powered by large language models (LLMs) are increasingly adopted in software engineering (SWE) scenarios, capable of fixing a specific bug in large-scale codebase. Ho…
Robust Domain Adaptation for Machine Reading Comprehension
Liang Jiang, Zhenyu Huang, Jia Liu +2
Most domain adaptation methods for machine reading comprehension (MRC) use a pre-trained question-answer (QA) construction model to generate pseudo QA pairs for MRC transfer. Such…
Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken Conversations
Ruijie Yan, Shuang Peng, Haitao Mi +7
Building robust and general dialogue models for spoken conversations is challenging due to the gap in distributions of spoken and written data. This paper presents our approach to…
Representation Learning via Quantum Neural Tangent Kernels
Junyu Liu, Francesco Tacchino, Jennifer R. Glick +2
Variational quantum circuits are used in quantum machine learning and variational quantum simulation tasks. Designing good variational circuits or predicting how well they perform…
Long Short-Term Sample Distillation
Liang Jiang, Zujie Wen, Zhongping Liang +7
In the past decade, there has been substantial progress at training increasingly deep neural networks. Recent advances within the teacher--student training paradigm have establishe…