research
∙
09/03/2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
While large language models (LLMs) have demonstrated remarkable capabili...
share
research
∙
08/17/2023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Catastrophic forgetting (CF) is a phenomenon that occurs in machine lear...
research
∙
07/08/2023
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation
Most existing cross-lingual summarization (CLS) work constructs CLS corp...
research
∙
06/20/2023
Explicit Syntactic Guidance for Neural Text Generation
Most existing text generation models follow the sequence-to-sequence par...
research
∙
05/22/2023
Deepfake Text Detection in the Wild
Recent advances in large language models have enabled them to reach a le...
research
∙
11/15/2022
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Pre-trained language models (PLMs) are known to improve the generalizati...
research
∙
10/20/2022
Multi-Granularity Optimization for Non-Autoregressive Translation
Despite low latency, non-autoregressive machine translation (NAT) suffer...
research
∙
10/13/2022
Categorizing Semantic Representations for Neural Machine Translation
Modern neural machine translation (NMT) models have achieved competitive...
research
∙
05/31/2021