Miguel Ballesteros
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
64
Venues
14
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
64 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language Agents. | Sandip Ghoshal, Anshul Mittal, Jyotika Singh, Miguel Ballesteros, Weiyi Sun, Fang Tu, Shailender Singh, Yassine Benajiba, Fahad Shah, Sujeeth Bharadwaj, Sujith Ravi, Dan Roth |
| 2026 | ACL | MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation. | Jyotika Singh, Fang Tu, Miguel Ballesteros, Weiyi Sun, Sandip Ghoshal, Michelle Yuan, Yassine Benajiba, Sujith Ravi, Dan Roth |
| 2026 | ACL | Budget-Aware Anytime Reasoning with LLM-Synthesized Preference Data. | Xuanming Zhang, Shwan Ashrafi, Aziza Mirsaidova, Amir Rezaeian, Miguel Ballesteros, Lydia B. Chilton, Zhou Yu, Dan Roth |
| 2026 | EACL | Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth. | Michelle Yuan, Weiyi Sun, Amir Rezaeian, Jyotika Singh, Sandip Ghoshal, Yao-Ting Wang, Miguel Ballesteros, Yassine Benajiba |
| 2025 | ACL | Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models. | Qin Liu, Chao Shang, Ling Liu, Nikolaos Pappas, Jie Ma, Neha Anna John, Srikanth Doss, Llus Mrquez, Miguel Ballesteros, Yassine Benajiba |
| 2025 | ACL | MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation. | Haris Riaz, Sourav Sanjukta Bhabesh, Vinayak Arannil, Miguel Ballesteros, Graham Horwood |
| 2025 | ICML | Active Evaluation Acquisition for Efficient LLM Benchmarking. | Yang Li, Jie Ma, Miguel Ballesteros, Yassine Benajiba, Graham Horwood |
| 2024 | EACL | A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis. | Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan |
| 2023 | ACL | Characterizing and Measuring Linguistic Dataset Drift. | Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth |
| 2023 | ACL | Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents. | Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros |
| 2023 | EACL | Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. | Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros |
| 2023 | EACL | Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization. | Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba |
| 2023 | EMNLP | Taxonomy Expansion for Named Entity Recognition. | Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros |
| 2023 | EMNLP | Comparing Biases and the Impact of Multilingual Training across Multiple Languages. | Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth |
| 2022 | ACL | Label Semantics for Few Shot Named Entity Recognition. | Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth |
| 2022 | COLING | Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation. | Fei-Tzin Lee, Miguel Ballesteros, Feng Nan, Kathleen R. McKeown |
| 2022 | NAACL | Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. | Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis |
| 2021 | EACL | On the evolution of syntactic information encoded by BERT's contextualized representations. | Laura Prez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner |
| 2021 | EACL | Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings. | Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen R. McKeown |
| 2021 | EMNLP | Sequential Cross-Document Coreference Resolution. | Emily Allaway, Shuai Wang, Miguel Ballesteros |
| 2021 | EMNLP | A Bag of Tricks for Dialogue Summarization. | Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown |
| 2021 | EMNLP | How much pretraining data do language models need to learn syntax? | Laura Prez-Mayos, Miguel Ballesteros, Leo Wanner |
| 2021 | NAACL | Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas. | Yogarshi Vyas, Miguel Ballesteros |
| 2020 | EMNLP | Transition-based Parsing with Stack-Transformers. | Ramn Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian |
| 2020 | EMNLP | 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, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan |
| 2020 | EMNLP | 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, Faisal Ladhak, Yaser Al-Onaizan |
| 2020 | EMNLP | Resource-Enhanced Neural Model for Event Argument Extraction. | Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan |
| 2020 | EMNLP | Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models. | Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger Levy, Miguel Ballesteros |
| 2019 | ACL | Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning. | Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros |
| 2019 | NAACL | Neural language models as psycholinguistic subjects: Representations of syntactic state. | Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy |
| 2019 | NAACL | Recursive Subtree Composition in LSTM-Based Dependency Parsing. | Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre |
| 2019 | NAACL | Structural Supervision Improves Learning of Non-Local Grammatical Dependencies. | Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy |
| 2018 | COLING | Multilingual Neural Machine Translation with Task-Specific Attention. | Graeme W. Blackwood, Miguel Ballesteros, Todd Ward |
| 2018 | CoNLL | IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing. | Hui Wan, Tahira Naseem, Young-Suk Lee, Vittorio Castelli, Miguel Ballesteros |
| 2018 | NAACL | Multimodal Emoji Prediction. | Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion |
| 2018 | NAACL | Pieces of Eight: 8-bit Neural Machine Translation. | Jerry Quinn, Miguel Ballesteros |
| 2017 | EACL | Are Emojis Predictable? | Francesco Barbieri, Miguel Ballesteros, Horacio Saggion |
| 2017 | EACL | What Do Recurrent Neural Network Grammars Learn About Syntax? | Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith |
| 2017 | EMNLP | AMR Parsing using Stack-LSTMs. | Miguel Ballesteros, Yaser Al-Onaizan |
| 2016 | CoNLL | Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. | Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith |
| 2016 | ECAI | Multilingual Natural Language Generation within Abstractive Summarization. | Simon Mille, Miguel Ballesteros, Alicia Burga, Gerard Casamayor, Leo Wanner |
| 2016 | EMNLP | Training with Exploration Improves a Greedy Stack LSTM Parser. | Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith |
| 2016 | EMNLP | A Neural Network Architecture for Multilingual Punctuation Generation. | Miguel Ballesteros, Leo Wanner |
| 2016 | EMNLP | Transition-Based Dependency Parsing with Heuristic Backtracking. | Jacob Buckman, Miguel Ballesteros, Chris Dyer |
| 2016 | EMNLP | Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. | Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith |
| 2016 | NAACL | Recurrent Neural Network Grammars. | Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith |
| 2016 | NAACL | Neural Architectures for Named Entity Recognition. | Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer |
| 2015 | ACL | Transition-Based Dependency Parsing with Stack Long Short-Term Memory. | Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith |
| 2015 | ASSETS | A Spellchecker for Dyslexia. | Luz Rello, Miguel Ballesteros, Jeffrey P. Bigham |
| 2015 | CoNLL | Transition-based Spinal Parsing. | Miguel Ballesteros, Xavier Carreras |
| 2015 | EMNLP | Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs. | Miguel Ballesteros, Chris Dyer, Noah A. Smith |
| 2015 | NAACL | Data-driven sentence generation with non-isomorphic trees. | Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner |
| 2015 | NAACL | Visualizing Deep-Syntactic Parser Output. | Juan Soler Company, Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner |
| 2014 | COLING | Automatic Feature Selection for Agenda-Based Dependency Parsing. | Miguel Ballesteros, Bernd Bohnet |
| 2014 | COLING | Deep-Syntactic Parsing. | Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner |
| 2014 | INLG | Classifiers for data-driven deep sentence generation. | Miguel Ballesteros, Simon Mille, Leo Wanner |
| 2013 | IJCNLP | MaltDiver: A Transition-Based Parser Visualizer. | Miguel Ballesteros, Roberto Carlini |
| 2013 | IJCNLP | Finding Dependency Parsing Limits over a Large Spanish Corpus. | Muntsa Padr, Miguel Ballesteros, Hctor Martnez Alonso, Bernd Bohnet |
| 2012 | CICLING | Inferring the Scope of Negation in Biomedical Documents. | Miguel Ballesteros, Virginia Francisco, Alberto Daz, Jess Herrera, Pablo Gervs |
| 2012 | EACL | MaltOptimizer: An Optimization Tool for MaltParser. | Miguel Ballesteros, Joakim Nivre |
| 2012 | LREC | MaltOptimizer: A System for MaltParser Optimization. | Miguel Ballesteros, Joakim Nivre |
| 2011 | IC3K | Inferring the Scope of Speculation using Dependency Analysis. | Miguel Ballesteros, Virginia Francisco, Alberto Daz, Jess Herrera, Pablo Gervs |
| 2010 | IC3K | Text Simplification using Dependency Parsing for Spanish. | Miguel Ballesteros, Susana Bautista, Pablo Gervs |
| 2010 | IC3K | Giving Shape to an N-version Dependency Parser - Improving Dependency Parsing Accuracy for Spanish using Maltparser. | Miguel Ballesteros, Jess Herrera, Virginia Francisco, Pablo Gervs |