Di Jin

According to our database, Di Jin authored at least 54 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Boosting LLM Reasoning via Spontaneous Self-Correction.

Xutong Zhao, Tengyu Xu, Xuewei Wang, Zhengxing Chen, Di Jin, Liang Tan, Yen-Ting, Zishun Yu, Zhuokai Zhao, Yun He, Sinong Wang, Han Fang, Sarath Chandar, Chenguang Zhu

CoRR, June, 2025

Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization.

Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang

CoRR, January, 2025

Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback.

Yen-Ting Lin, Di Jin, Tengyu Xu, Tianhao Wu, Sainbayar Sukhbaatar, Chen Zhu, Yun He, Yun-Nung Chen, Jason Weston, Yuandong Tian, Arash Rahnama, Sinong Wang, Hao Ma, Han Fang

CoRR, January, 2025

2024

Overview of the Tenth Dialog System Technology Challenge: DSTC10.

Koichiro Yoshino, Yun-Nung Chen, Paul A. Crook, Satwik Kottur, Jinchao Li, Behnam Hedayatnia, Seungwhan Moon, Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou, Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Dilek Hakkani-Tur, Babak Damavandi, Alborz Geramifard, Chiori Hori, Ankit Shah, Chen Zhang, Haizhou Li, João Sedoc, Luis F. D'Haro, Rafael E. Banchs, Alexander Rudnicky

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following.

Yun He, Di Jin, Chaoqi Wang, Chloe Bi, Karishma Mandyam, Hejia Zhang, Chen Zhu, Ning Li, Tengyu Xu, Hongjiang Lv, Shruti Bhosale, Chenguang Zhu, Karthik Abinav Sankararaman, Eryk Helenowski, Melanie Kambadur, Aditya Tayade, Hao Ma, Han Fang, Sinong Wang

CoRR, 2024

The Perfect Blend: Redefining RLHF with Mixture of Judges.

Tengyu Xu, Eryk Helenowski, Karthik Abinav Sankararaman, Di Jin, Kaiyan Peng, Eric Han, Shaoliang Nie, Chen Zhu, Hejia Zhang, Wenxuan Zhou, Zhouhao Zeng, Yun He, Karishma Mandyam, Arya Talabzadeh, Madian Khabsa, Gabriel Cohen, Yuandong Tian, Hao Ma, Sinong Wang, Han Fang

CoRR, 2024

From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues.

Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks.

Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu

Trans. Mach. Learn. Res., 2023

"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge.

Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Investigating the Representation of Open Domain Dialogue Context for Transformer Models.

Vishakh Padmakumar, Behnam Hedayatnia, Di Jin, Patrick Lange, Seokhwan Kim, Nanyun Peng, Yang Liu, Dilek Hakkani-Tur

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

MERCY: Multiple Response Ranking Concurrently in Realistic Open-Domain Conversational Systems.

Sarik Ghazarian, Behnam Hedayatnia, Di Jin, Sijia Liu, Nanyun Peng, Yang Liu, Dilek Hakkani-Tur

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning.

Mingyu Derek Ma, Jiun-Yu Kao, Shuyang Gao, Arpit Gupta, Di Jin, Tagyoung Chung, Nanyun Peng

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Using In-Context Learning to Improve Dialogue Safety.

Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tur

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines.

Prakhar Gupta, Yang Liu, Di Jin, Behnam Hedayatnia, Spandana Gella, Sijia Liu, Patrick Lange, Julia Hirschberg, Dilek Hakkani-Tur

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information.

Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup.

Sijia Liu, Patrick Lange, Behnam Hedayatnia, Alexandros Papangelis, Di Jin, Andrew Wirth, Yang Liu, Dilek Hakkani-Tur

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards Textual Out-of-Domain Detection Without In-Domain Labels.

Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tür

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphs.

Sha Li, Mahdi Namazifar, Di Jin, Mohit Bansal, Heng Ji, Yang Liu, Dilek Hakkani-Tur

CoRR, 2022

Deep Learning for Text Style Transfer: A Survey.

Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea

Comput. Linguistics, 2022

Improving Bot Response Contradiction Detection via Utterance Rewriting.

Di Jin, Sijia Liu, Yang Liu, Dilek Hakkani-Tur

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

A Systematic Evaluation of Response Selection for Open Domain Dialogue.

Behnam Hedayatnia, Di Jin, Yang Liu, Dilek Hakkani-Tur

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs.

Sha Li, Mahdi Namazifar, Di Jin, Mohit Bansal, Heng Ji, Yang Liu, Dilek Hakkani-Tur

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences.

Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention.

Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning.

Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets.

Hyounghun Kim, Aishwarya Padmakumar, Di Jin, Mohit Bansal, Dilek Hakkani-Tur

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021

Dual Adversarial Transfer for Sequence Labeling.

Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View.

Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits

CoRR, 2021

Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems.

Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tur

CoRR, 2021

Adversarial Contrastive Pre-training for Protein Sequences.

Matthew B. A. McDermott, Brendan Yap, Tzu-Ming Harry Hsu, Di Jin, Peter Szolovits

CoRR, 2021

"How Robust R U?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations.

Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Behnam Hedayatnia, Dilek Hakkani-Tür

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling.

Di Jin, Seokhwan Kim, Dilek Hakkani-Tur

Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021

2020

RoSeq: Robust Sequence Labeling.

Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng, Yang Xiao, Zhiguo Cao

IEEE Trans. Neural Networks Learn. Syst., 2020

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, Peter Szolovits

CoRR, 2020

From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap.

Shuyang Gao, Sanchit Agarwal, Tagyoung Chung, Di Jin, Dilek Hakkani-Tür

CoRR, 2020

Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation.

Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits

CoRR, 2020

Advancing PICO element detection in biomedical text via deep neural networks.

Di Jin, Peter Szolovits

Bioinform., 2020

Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis.

Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering.

Ming Yan, Hao Zhang, Di Jin, Joey Tianyi Zhou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles.

Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment.

Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension.

Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-Tür

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment.

Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits

CoRR, 2019

Publicly Available Clinical BERT Embeddings.

Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott

CoRR, 2019

Unsupervised Text Style Transfer via Iterative Matching and Translation.

Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus

CoRR, 2019

IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation.

Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition.

Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Advancing PICO Element Detection in Medical Text via Deep Neural Networks.

Di Jin, Peter Szolovits

CoRR, 2018

MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network.

Di Jin, Franck Dernoncourt, Elena Sergeeva, Matthew B. A. McDermott, Geeticka Chauhan

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts.

Di Jin, Peter Szolovits

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

PICO Element Detection in Medical Text via Long Short-Term Memory Neural Networks.

Di Jin, Peter Szolovits

Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018

Precision Medicine: matching cancer patients with relevant treatments.

Kahyun Lee, Michele Filannino, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner

Proceedings of the AMIA 2018, 2018

Precision Medicine: matching cancer patients with clinical trials.

Michele Filannino, Kahyun Lee, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner

Proceedings of the AMIA 2018, 2018

2017

A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching.

Yuan Ling, Sadid A. Hasan, Michele Filannino, Kevin P. Buchan, Kahyun Lee, Joey Liu, William Boag, Di Jin, Özlem Uzuner, Kathy Lee, Vivek V. Datla, Ashequl Qadir, Oladimeji Farri

Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017