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09/16/2023
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
Despite the power of Large Language Models (LLMs) like GPT-4, they still...
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09/16/2023
ODSum: New Benchmarks for Open Domain Multi-Document Summarization
Open-domain Multi-Document Summarization (ODMDS) is a critical tool for ...
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06/25/2023
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations
Despite significant progress having been made in question answering on t...
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05/24/2023
Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers
Large language models (LLMs) have shown remarkable ability on controllab...
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05/23/2023
QTSumm: A New Benchmark for Query-Focused Table Summarization
People primarily consult tables to conduct data analysis or answer speci...
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05/21/2023
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
In-context learning (ICL) has emerged as a new approach to various natur...
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03/07/2023
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation
Interpretability and efficiency are two important considerations for the...
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02/06/2023
LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control
Logical Table-to-Text (LT2T) generation is tasked with generating logica...
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12/15/2022
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
Human evaluation is the foundation upon which the evaluation of both sum...
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05/25/2022
R2D2: Robust Data-to-Text with Replacement Detection
Unfaithful text generation is a common problem for text generation syste...
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12/08/2020
LAMP: Label Augmented Multimodal Pretraining
Multi-modal representation learning by pretraining has become an increas...
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08/14/2020
Apparel-invariant Feature Learning for Apparel-changed Person Re-identification
With the rise of deep learning methods, person Re-Identification (ReID) ...
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08/03/2020