Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. - Miguel Ballesteros; Rishita Anubhai; Shuai Wang; Nima Pourdamghani; Yogarshi Vyas; Jie Ma 005; Parminder Bhatia; Kathleen R. McKeown; Yaser Al-Onaizan (EMNLP (1), 2020)

To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging. - Kasturi Bhattacharjee; Miguel Ballesteros; Rishita Anubhai; Smaranda Muresan; Jie Ma 005; Faisal Ladhak; Yaser Al-Onaizan (EMNLP (1), 2020)

Resource-Enhanced Neural Model for Event Argument Extraction. - Jie Ma 005; Shuai Wang; Rishita Anubhai; Miguel Ballesteros; Yaser Al-Onaizan (EMNLP (Findings), 2020)

Label Semantics for Few Shot Named Entity Recognition. - Jie Ma 005; Miguel Ballesteros; Srikanth Doss; Rishita Anubhai; Sunil Mallya; Yaser Al-Onaizan; Dan Roth 001 (ACL (Findings), 2022)

Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. - Alexander Hanbo Li; Mingyue Shang; Evangelia Spiliopoulou; Jie Ma 005; Patrick Ng; Zhiguo Wang; Bonan Min; William Yang Wang; Kathleen R. McKeown; Vittorio Castelli; Dan Roth 001; Bing Xiang (ACL (1), 2023)

Benchmarking Diverse-Modal Entity Linking with Generative Models. - Sijia Wang; Alexander Hanbo Li; Henghui Zhu; Sheng Zhang 029; Pramuditha Perera; Chung-Wei Hang; Jie Ma 005; William Yang Wang; Zhiguo Wang; Vittorio Castelli; Bing Xiang; Patrick Ng (ACL (Findings), 2023)

Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization. - Ming Shen; Jie Ma 005; Shuai Wang; Yogarshi Vyas; Kalpit Dixit; Miguel Ballesteros; Yassine Benajiba (EACL (Findings), 2023)

Taxonomy Expansion for Named Entity Recognition. - Karthikeyan K; Yogarshi Vyas; Jie Ma 005; Giovanni Paolini; Neha Anna John; Shuai Wang; Yassine Benajiba; Vittorio Castelli; Dan Roth 001; Miguel Ballesteros (EMNLP, 2023)

Comparing Biases and the Impact of Multilingual Training across Multiple Languages. - Sharon Levy; Neha Anna John; Ling Liu; Yogarshi Vyas; Jie Ma 005; Yoshinari Fujinuma; Miguel Ballesteros; Vittorio Castelli; Dan Roth 001 (EMNLP, 2023)

Benchmarking Diverse-Modal Entity Linking with Generative Models. - Sijia Wang; Alexander Hanbo Li; Henry Zhu; Sheng Zhang 012; Chung-Wei Hang; Pramuditha Perera; Jie Ma 005; William Wang 001; Zhiguo Wang; Vittorio Castelli; Bing Xiang; Patrick Ng (CoRR, 2023)

General Purpose Verification for Chain of Thought Prompting. - Robert Vacareanu; Anurag Pratik; Evangelia Spiliopoulou; Zheng Qi; Giovanni Paolini; Neha Anna John; Jie Ma 005; Yassine Benajiba; Miguel Ballesteros (CoRR, 2024)

Active Evaluation Acquisition for Efficient LLM Benchmarking. - Yang Li; Jie Ma 005; Miguel Ballesteros; Yassine Benajiba; Graham Horwood (CoRR, 2024)

Detecting Training Data of Large Language Models via Expectation Maximization. - Gyuwan Kim; Yang Li; Evangelia Spiliopoulou; Jie Ma 005; Miguel Ballesteros; William Yang Wang (CoRR, 2024)

Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models. - Qin Liu 010; Chao Shang; Ling Liu; Nikolaos Pappas 004; Jie Ma 005; Neha Anna John; Srikanth Doss; Lluís Màrquez; Miguel Ballesteros; Yassine Benajiba (ACL (Findings), 2025)

Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge. - Evangelia Spiliopoulou; Riccardo Fogliato; Hanna Burnsky; Tamer Soliman; Jie Ma 005; Graham Horwood; Miguel Ballesteros (CoRR, 2025)