Jin Qu

Researcher, Salesforce AI Research

Joined

December 2021

Names

Jin Qu (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Researcher

Salesforce AI Research (salesforce.com)

2018 – Present

MS student

University of Washington (uw.edu)

2015 – 2017

Advisors, Relations & Conflicts

No relations added

Expertise

Code AI

2022 – Present

LLM

2021 – Present

NLP

2018 – Present

Publications

CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification
Jiacheng Xu, Bo Pang, Jin Qu, Hiroaki Hayashi, Caiming Xiong, Yingbo Zhou
- DL4C @ ICLR 2025
- Readers: Everyone
BATCHMIXUP: Improving Training by Interpolating Hidden States of the Entire Mini-batch
Jin Qu, Wenpeng Yin, Huan Wang
- 09 Feb 2024
- OpenReview Archive Direct Upload
- Readers: Everyone
Few-Shot Intent Classification by Gauging Entailment Relationship Between Utterance and Semantic Label
Jin Qu, Kazuma Hashimoto, Wenhao Liu, Caiming Xiong, Yingbo Zhou
- 09 Feb 2024
- OpenReview Archive Direct Upload
- Readers: Everyone
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
Jin Qu, Lifu Tu, Shafiq Joty, Semih Yavuz
- 09 Feb 2024 (modified: 09 Feb 2024)
- OpenReview Archive Direct Upload
- Readers: Everyone
Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models
Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou
- Submitted to ICLR 2024
- Readers: Everyone

Co-Authors