Linyong Nan

According to our database1, Linyong Nan authored at least 23 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data.
CoRR, 2023

On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering.
CoRR, 2023

Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers.
CoRR, 2023

QTSumm: A New Benchmark for Query-Focused Table Summarization.
CoRR, 2023

Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies.
CoRR, 2023

Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

QTSumm: Query-Focused Summarization over Tabular Data.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

OpenRT: An Open-source Framework for Reasoning Over Tabular Data.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
FeTaQA: Free-form Table Question Answering.
Trans. Assoc. Comput. Linguistics, 2022

FOLIO: Natural Language Reasoning with First-Order Logic.
CoRR, 2022

ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

R2D2: Robust Data-to-Text with Replacement Detection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Leveraging Locality in Abstractive Text Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
FeTaQA: Free-form Table Question Answering.
CoRR, 2021

DART: Open-Domain Structured Data Record to Text Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations.
CoRR, 2019

Guigle: a GUI search engine for Android apps.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2018
High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures.
CoRR, 2018


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