Di Jin - RankMe

76 papers A* 8A 2B 5C 1Misc 2Journal 44Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Boosting LLM Reasoning via Spontaneous Self-Correction. CoRR 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
2025	J	`jnl`	Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback. CoRR 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
2025	A*	`conf`	Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization. ICML 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
2025	J	`jnl`	Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization. CoRR 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
2024	—	`conf`	From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues. EMNLP (Findings) Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu
2024	J	`jnl`	From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues. CoRR Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu
2024	J	`jnl`	Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following. CoRR 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
2024	J	`jnl`	Overview of the Tenth Dialog System Technology Challenge: DSTC10. IEEE ACM Trans. Audio Speech Lang. Process. 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
2024	J	`jnl`	The Perfect Blend: Redefining RLHF with Mixture of Judges. CoRR 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
2023	B	`conf`	"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge. SIGDIAL Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur
2023	J	`jnl`	"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge. CoRR Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur
2023	J	`jnl`	Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. Trans. Mach. Learn. Res. Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
2023	—	`conf`	DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines. EMNLP (Findings) Prakhar Gupta, Yang Liu, Di Jin, Behnam Hedayatnia, Spandana Gella, Sijia Liu, Patrick Lange, Julia Hirschberg, Dilek Hakkani-Tur
2023	B	`conf`	Investigating the Representation of Open Domain Dialogue Context for Transformer Models. SIGDIAL Vishakh Padmakumar, Behnam Hedayatnia, Di Jin, Patrick Lange, Seokhwan Kim, Nanyun Peng, Yang Liu, Dilek Hakkani-Tur
2023	B	`conf`	MERCY: Multiple Response Ranking Concurrently in Realistic Open-Domain Conversational Systems. SIGDIAL Sarik Ghazarian, Behnam Hedayatnia, Di Jin, Sijia Liu, Nanyun Peng, Yang Liu, Dilek Hakkani-Tur
2023	A	`conf`	Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning. INTERSPEECH Mingyu Derek Ma, Jiun-Yu Kao, Shuyang Gao, Arpit Gupta, Di Jin, Tagyoung Chung, Nanyun Peng
2023	J	`jnl`	Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning. CoRR Mingyu Derek Ma, Jiun-Yu Kao, Shuyang Gao, Arpit Gupta, Di Jin, Tagyoung Chung, Nanyun Peng
2023	A	`conf`	Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information. EACL Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur
2023	J	`jnl`	Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information. CoRR Yen-Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur
2023	A*	`conf`	Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup. AAAI Sijia Liu, Patrick Lange, Behnam Hedayatnia, Alexandros Papangelis, Di Jin, Andrew Wirth, Yang Liu, Dilek Hakkani-Tur
2023	—	`conf`	Using In-Context Learning to Improve Dialogue Safety. EMNLP (Findings) Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tur
2023	J	`jnl`	Using In-Context Learning to Improve Dialogue Safety. CoRR Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tür
2022	B	`conf`	A Systematic Evaluation of Response Selection for Open Domain Dialogue. SIGDIAL Behnam Hedayatnia, Di Jin, Yang Liu, Dilek Hakkani-Tur
2022	J	`jnl`	A Systematic Evaluation of Response Selection for Open Domain Dialogue. CoRR Behnam Hedayatnia, Di Jin, Yang Liu, Dilek Hakkani-Tur
2022	J	`jnl`	Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. CoRR Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
2022	J	`jnl`	Deep Learning for Text Style Transfer: A Survey. Comput. Linguistics Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea
2022	J	`jnl`	DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines. CoRR Prakhar Gupta, Yang Liu, Di Jin, Behnam Hedayatnia, Spandana Gella, Sijia Liu, Patrick Lange, Julia Hirschberg, Dilek Hakkani-Tur
2022	—	`conf`	Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. NAACL-HLT (Findings) Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
2022	J	`jnl`	Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. CoRR Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
2022	J	`jnl`	Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphs. CoRR Sha Li, Mahdi Namazifar, Di Jin, Mohit Bansal, Heng Ji, Yang Liu, Dilek Hakkani-Tur
2022	—	`conf`	Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs. NAACL-HLT Sha Li, Mahdi Namazifar, Di Jin, Mohit Bansal, Heng Ji, Yang Liu, Dilek Hakkani-Tur
2022	B	`conf`	Improving Bot Response Contradiction Detection via Utterance Rewriting. SIGDIAL Di Jin, Sijia Liu, Yang Liu, Dilek Hakkani-Tur
2022	J	`jnl`	Improving Bot Response Contradiction Detection via Utterance Rewriting. CoRR Di Jin, Sijia Liu, Yang Liu, Dilek Hakkani-Tur
2022	A*	`conf`	Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. EMNLP Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
2022	J	`jnl`	Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. CoRR Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
2022	—	`conf`	On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets. Insights@ACL Hyounghun Kim, Aishwarya Padmakumar, Di Jin, Mohit Bansal, Dilek Hakkani-Tur
2022	J	`jnl`	On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets. CoRR Hyounghun Kim, Aishwarya Padmakumar, Di Jin, Mohit Bansal, Dilek Hakkani-Tur
2022	—	`conf`	Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences. NAACL-HLT Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang
2022	J	`jnl`	Towards Textual Out-of-Domain Detection Without In-Domain Labels. IEEE ACM Trans. Audio Speech Lang. Process. Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tür
2022	J	`jnl`	Towards Textual Out-of-Domain Detection without In-Domain Labels. CoRR Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tur
2021	C	`conf`	"How Robust R U?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations. ASRU Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Behnam Hedayatnia, Dilek Hakkani-Tür
2021	J	`jnl`	"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations. CoRR Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Behnam Hedayatnia, Dilek Hakkani-Tur
2021	J	`jnl`	Adversarial Contrastive Pre-training for Protein Sequences. CoRR Matthew B. A. McDermott, Brendan Yap, Tzu-Ming Harry Hsu, Di Jin, Peter Szolovits
2021	—	`conf`	Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling. DialDoc@ACL-IJCNLP Di Jin, Seokhwan Kim, Dilek Hakkani-Tur
2021	J	`jnl`	Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling. CoRR Di Jin, Seokhwan Kim, Dilek Hakkani-Tür
2021	J	`jnl`	Dual Adversarial Transfer for Sequence Labeling. IEEE Trans. Pattern Anal. Mach. Intell. Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng
2021	J	`jnl`	Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View. CoRR Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits
2021	J	`jnl`	Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences. CoRR Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang
2021	J	`jnl`	Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems. CoRR Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tur
2020	J	`jnl`	Advancing PICO element detection in biomedical text via deep neural networks. Bioinform. Di Jin, Peter Szolovits
2020	J	`jnl`	Deep Learning for Text Style Transfer: A Survey. CoRR Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea
2020	J	`jnl`	From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap. CoRR Shuyang Gao, Sanchit Agarwal, Tagyoung Chung, Di Jin, Dilek Hakkani-Tür
2020	A*	`conf`	Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. ACL Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits
2020	J	`jnl`	Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. CoRR Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits
2020	A*	`conf`	Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. AAAI Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
2020	A*	`conf`	MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension. AAAI Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-Tür
2020	A*	`conf`	Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering. ACL Ming Yan, Hao Zhang, Di Jin, Joey Tianyi Zhou
2020	J	`jnl`	RoSeq: Robust Sequence Labeling. IEEE Trans. Neural Networks Learn. Syst. Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng, Yang Xiao, Zhiguo Cao
2020	—	`conf`	Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. EMNLP (1) Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang
2020	J	`jnl`	Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. CoRR Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang
2020	J	`jnl`	Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation. CoRR Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
2020	J	`jnl`	What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams. CoRR Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, Peter Szolovits
2019	—	`conf`	Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition. ACL (1) Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok
2019	—	`conf`	IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation. EMNLP/IJCNLP (1) Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus
2019	J	`jnl`	Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment. CoRR Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
2019	J	`jnl`	MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension. CoRR Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-Tür
2019	J	`jnl`	Publicly Available Clinical BERT Embeddings. CoRR Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott
2019	J	`jnl`	Unsupervised Text Style Transfer via Iterative Matching and Translation. CoRR Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus
2018	J	`jnl`	Advancing PICO Element Detection in Medical Text via Deep Neural Networks. CoRR Di Jin, Peter Szolovits
2018	A*	`conf`	Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. EMNLP Di Jin, Peter Szolovits
2018	J	`jnl`	Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. CoRR Di Jin, Peter Szolovits
2018	—	`conf`	MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network. SemEval@NAACL-HLT Di Jin, Franck Dernoncourt, Elena Sergeeva, Matthew B. A. McDermott, Geeticka Chauhan
2018	—	`conf`	PICO Element Detection in Medical Text via Long Short-Term Memory Neural Networks. BioNLP Di Jin, Peter Szolovits
2018	Misc	`conf`	Precision Medicine: matching cancer patients with clinical trials. AMIA Michele Filannino, Kahyun Lee, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner
2018	Misc	`conf`	Precision Medicine: matching cancer patients with relevant treatments. AMIA Kahyun Lee, Michele Filannino, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner
2017	—	`conf`	A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching. TREC 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