Jie Ma

26 papers A* 3Journal 14Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
Detecting Training Data of Large Language Models via Expectation Maximization.
EACL (Volume 1: Long Papers)
Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, Jie Ma, William Yang Wang
2025 A* conf
Active Evaluation Acquisition for Efficient LLM Benchmarking.
ICML
Yang Li, Jie Ma, Miguel Ballesteros, Yassine Benajiba, Graham Horwood
2025 J jnl
Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge.
CoRR
Evangelia Spiliopoulou, Riccardo Fogliato, Hanna Burnsky, Tamer Soliman, Jie Ma, Graham Horwood, Miguel Ballesteros
2025 — conf
Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models.
ACL (Findings)
Qin Liu, Chao Shang, Ling Liu, Nikolaos Pappas, Jie Ma, Neha Anna John, Srikanth Doss, Lluís Màrquez, Miguel Ballesteros, Yassine Benajiba
2024 J jnl
Active Evaluation Acquisition for Efficient LLM Benchmarking.
CoRR
Yang Li, Jie Ma, Miguel Ballesteros, Yassine Benajiba, Graham Horwood
2024 J jnl
Detecting Training Data of Large Language Models via Expectation Maximization.
CoRR
Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, Jie Ma, Miguel Ballesteros, William Yang Wang
2024 J jnl
General Purpose Verification for Chain of Thought Prompting.
CoRR
Robert Vacareanu, Anurag Pratik, Evangelia Spiliopoulou, Zheng Qi, Giovanni Paolini, Neha Anna John, Jie Ma, Yassine Benajiba, Miguel Ballesteros
2024 J jnl
Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models.
CoRR
Qin Liu, Chao Shang, Ling Liu, Nikolaos Pappas, Jie Ma, Neha Anna John, Srikanth Doss, Lluís Màrquez, Miguel Ballesteros, Yassine Benajiba
2023 — conf
Benchmarking Diverse-Modal Entity Linking with Generative Models.
ACL (Findings)
Sijia Wang, Alexander Hanbo Li, Henghui Zhu, Sheng Zhang, Pramuditha Perera, Chung-Wei Hang, Jie Ma, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng
2023 J jnl
Benchmarking Diverse-Modal Entity Linking with Generative Models.
CoRR
Sijia Wang, Alexander Hanbo Li, Henry Zhu, Sheng Zhang, Chung-Wei Hang, Pramuditha Perera, Jie Ma, William Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng
2023 A* conf
Comparing Biases and the Impact of Multilingual Training across Multiple Languages.
EMNLP
Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth
2023 J jnl
Comparing Biases and the Impact of Multilingual Training across Multiple Languages.
CoRR
Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth
2023 — conf
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning.
ACL (1)
Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang
2023 J jnl
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning.
CoRR
Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang
2023 — conf
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization.
EACL (Findings)
Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba
2023 J jnl
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization.
CoRR
Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba
2023 A* conf
Taxonomy Expansion for Named Entity Recognition.
EMNLP
Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros
2023 J jnl
Taxonomy Expansion for Named Entity Recognition.
CoRR
Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros
2022 — conf
Label Semantics for Few Shot Named Entity Recognition.
ACL (Findings)
Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth
2022 J jnl
Label Semantics for Few Shot Named Entity Recognition.
CoRR
Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth
2020 — conf
Resource-Enhanced Neural Model for Event Argument Extraction.
EMNLP (Findings)
Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan
2020 J jnl
Resource-Enhanced Neural Model for Event Argument Extraction.
CoRR
Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan
2020 — conf
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events.
EMNLP (1)
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
2020 J jnl
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events.
CoRR
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
2020 — conf
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging.
EMNLP (1)
Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan
2020 J jnl
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging.
CoRR
Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan