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07/06/2023
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both a...
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06/08/2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Instruction tuning large language models (LLMs) remains a challenging ta...
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05/26/2023
Exploiting Abstract Meaning Representation for Open-Domain Question Answering
The Open-Domain Question Answering (ODQA) task involves retrieving and s...
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05/26/2023
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering
Open-Domain Question Answering (ODQA) systems necessitate a reader model...
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05/21/2023
Evaluating Open Question Answering Evaluation
This study focuses on the evaluation of Open Question Answering (Open-QA...
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04/17/2022
On Effectively Learning of Knowledge in Continual Pre-training
Pre-trained language models (PLMs) like BERT have made significant progr...
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08/15/2021
Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning
To quantitatively and intuitively explore the generalization ability of ...
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06/03/2021
Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA?
Recent work has investigated the interesting question using pre-trained ...
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08/13/2020
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?
Commonsense knowledge graph reasoning(CKGR) is the task of predicting a ...
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07/01/2020
SemEval-2020 Task 4: Commonsense Validation and Explanation
In this paper, we present SemEval-2020 Task 4, Commonsense Validation an...
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06/02/2019
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation
Introducing common sense to natural language understanding systems has r...
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03/26/2019
