2024
Unanswerability Evaluation for Retreival Augmented Generation.
CoRR, 2024
SiReRAG: Indexing Similar and Related Information for Multihop Reasoning.
CoRR, 2024
Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency.
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CoRR, 2024
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage.
CoRR, 2024
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.
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CoRR, 2024
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
2023
XGen-7B Technical Report.
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CoRR, 2023
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Modeling Document-level Temporal Structures for Building Temporal Dependency Graphs.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Improving Factual Consistency in Summarization with Compression-Based Post-Editing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Conformal Predictor for Improving Zero-Shot Text Classification Efficiency.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Predicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
2021
MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization.
CoRR, 2021
Improving Gender Translation Accuracy with Filtered Self-Training.
CoRR, 2021
Profiling News Discourse Structure Using Explicit Subtopic Structures Guided Critics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Automatic Data Acquisition for Event Coreference Resolution.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
2020
One Classifier for All Ambiguous Words: Overcoming Data Sparsity by Utilizing Sense Correlations Across Words.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Improving Dialogue State Tracking by Discerning the Relevant Context.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Modeling Document-level Causal Structures for Event Causal Relation Identification.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
In Plain Sight: Media Bias Through the Lens of Factual Reporting.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Identifying the Most Dominant Event in a News Article by Mining Event Coreference Relations.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
TAMU at KBP 2017: Event Nugget Detection and Coreference Resolution.
Proceedings of the 2017 Text Analysis Conference, 2017
Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017