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06/15/2023
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models
Reasoning about time is of fundamental importance. Many facts are time-d...
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05/24/2023
Unlocking Temporal Question Answering for Large Language Models Using Code Execution
Large language models (LLMs) have made significant progress in natural l...
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05/23/2023
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) is a subtask of Aspect-Based ...
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05/22/2023
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases
We introduce Chain of Knowledge (CoK), a framework that augments large l...
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05/15/2023
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization
Pre-trained language models (PLMs) have accomplished impressive achievem...
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12/20/2022
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective
Are large language models (LLMs) like GPT-3 psychologically safe? In thi...
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12/09/2022
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader
We present Pre-trained Machine Reader (PMR), a novel method to retrofit ...
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08/31/2021
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER
Data augmentation for cross-lingual NER requires fine-grained control ov...
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07/10/2018
