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07/15/2023
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph
Large language models (LLMs) have made significant strides in various ta...
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06/15/2023
CMMLU: Measuring massive multitask language understanding in Chinese
As the capabilities of large language models (LLMs) continue to advance,...
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05/23/2023
Query Rewriting for Retrieval-Augmented Large Language Models
Large Language Models (LLMs) play a powerful Reader of the Retrieve-then...
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12/22/2022
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model
In this paper, we propose a large-scale language pre-training for text G...
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12/18/2022
Curriculum Sampling for Dense Retrieval with Document Expansion
The dual-encoder has become the de facto architecture for dense retrieva...
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12/15/2022
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers
Dense retrieval aims to map queries and passages into low-dimensional ve...
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12/14/2022
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
Long-form numerical reasoning in financial analysis aims to generate a r...
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06/28/2022
Joint Generator-Ranker Learning for Natural Language Generation
Due to exposure bias, most existing natural language generation (NLG) mo...
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01/13/2020
