Search Results for author:
Found 5 papers, 1 papers with code
How Do BERT Embeddings Organize Linguistic Knowledge?
Several studies investigated the linguistic information implicitly encoded in Neural Language Models.
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection
The task attracted a large number of participants: subtask A monolingual (126), subtask A multilingual (59), subtask B (70), and subtask C (30).
The Invalsi Benchmark: measuring Language Models Mathematical and Language understanding in Italian
This results in a lower number of available benchmarks to evaluate the performance of language models in Italian.
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
The advent of Large Language Models (LLMs) has brought an unprecedented surge in machine-generated text (MGT) across diverse channels.
Outliers Dimensions that Disrupt Transformers Are Driven by Frequency
While Transformer-based language models are generally very robust to pruning, there is the recently discovered outlier phenomenon: disabling only 48 out of 110M parameters in BERT-base drops its performance by nearly 30% on MNLI.
