7 citations · 7 across the 5 of their papers we have counts for
6 papers
SWEPatchTest: Evaluating Software Tests Beyond Reproduction
Hua Lu, Pengcheng Wang, Han Li +4
Coding agents use generated tests to decide whether a proposed patch satisfies an issue's requirements. A suite that fails on the buggy program and passes after applying the refere…
SAP: State-Guided Data Synthesis with Argument Provenance for Multi-Turn Tool Use
Zichen Tian, Jinpeng Chen, Cheng Gong +2
High-quality multi-turn tool-use data is essential for training agentic models, yet existing data synthesis methods often underrepresent the argument-level dependencies that are cr…
CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification
Jinpeng Chen, Cheng Gong, Hanbo Li +9
Developing multi-turn interactive tool-use agents is challenging because real-world user needs are often complex and ambiguous, yet agents must execute deterministic actions to sat…
Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
Zichen Tian, Yaoyao Liu, Qianru Sun
Training large foundation models from scratch for domain-specific applications is almost impossible due to data limits and long-tailed distributions -- taking remote sensing (RS) a…
Scalable Multi-Task Low-Rank Model Adaptation
Zichen Tian, Antoine Ledent, Qianru Sun
Scaling multi-task low-rank adaptation (LoRA) to a large number of tasks induces catastrophic performance degradation, such as an accuracy drop from 88.2% to 2.0% on DOTA when scal…
Learning De-Biased Representations for Remote-Sensing Imagery
Zichen Tian, Zhaozheng Chen, Qianru Sun
Remote sensing (RS) imagery, requiring specialized satellites to collect and being difficult to annotate, suffers from data scarcity and class imbalance in certain spectrums. Due t…