2025
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Unified Embeddings for Multimodal Retrieval via Frozen LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2023
Background Summarization of Event Timelines.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
PLAtE: A Large-scale Dataset for List Page Web Extraction.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
SumREN: Summarizing Reported Speech about Events in News.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
PLAtE: A Large-scale Dataset for List Page Web Extraction.
CoRR, 2022
Answer Consolidation: Formulation and Benchmarking.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge.
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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
A Zero-Shot Claim Detection Framework Using Question Answering.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Summary-Oriented Question Generation for Informational Queries.
Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021
Inverse Reinforcement Learning with Natural Language Goals.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Question Generation for Supporting Informational Query Intents.
CoRR, 2020
Fluent Response Generation for Conversational Question Answering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering.
CoRR, 2019
2018
Active Learning in Recommendation Systems with Multi-level User Preferences.
CoRR, 2018
2017
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient.
CoRR, 2017
2012
Challenges and Opportunities in Applied Machine Learning.
AI Mag., 2012
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr.
Proceedings of the ACM International Health Informatics Symposium, 2012
2011
Who Should Label What? Instance Allocation in Multiple Expert Active Learning.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
The Constrained Weight Space SVM: Learning with Ranked Features.
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
2010
Margin-based active learning for structured predictions.
Int. J. Mach. Learn. Cybern., 2010
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Active learning for biomedical citation screening.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Modeling annotation time to reduce workload in comparative effectiveness reviews.
Proceedings of the ACM International Health Informatics Symposium, 2010
2009
Interactive Learning Protocols for Natural Language Applications
PhD thesis, 2009
Sequential Learning of Classifiers for Structured Prediction Problems.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Relation Alignment for Textual Entailment Recognition.
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Proceedings of the Second Text Analysis Conference, 2009
Unsupervised Rank Aggregation with Domain-Specific Expertise.
Proceedings of the IJCAI 2009, 2009
Interactive Feature Space Construction using Semantic Information.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009
2008
Unsupervised rank aggregation with distance-based models.
Proceedings of the Machine Learning, 2008
Active Learning for Pipeline Models.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
All links are not the same: evaluating word alignments for statistical machine translation.
Proceedings of Machine Translation Summit XI: Papers, 2007
An Unsupervised Learning Algorithm for Rank Aggregation.
Proceedings of the Machine Learning: ECML 2007, 2007
2006
Margin-Based Active Learning for Structured Output Spaces.
Proceedings of the Machine Learning: ECML 2006, 2006
2002
Question-Answering via Enhanced Understanding of Questions.
Proceedings of The Eleventh Text REtrieval Conference, 2002
2001
Technological Advances for Conducting a Virtual Ensemble.
Proceedings of the 2001 International Computer Music Conference, 2001