2 citations · 2 across the 4 of their papers we have counts for
6 papers
NegBLEURT Forest: Leveraging Inconsistencies for Detecting Jailbreak Attacks
Lama Sleem, Jerome Francois, Lujun Li +3
Jailbreak attacks designed to bypass safety mechanisms pose a serious threat by prompting LLMs to generate harmful or inappropriate content, despite alignment with ethical guidelin…
Shaping Explanations: Semantic Reward Modeling with Encoder-Only Transformers for GRPO
Francesco Pappone, Ruggero Marino Lazzaroni, Federico Califano +2
While Large Language Models (LLMs) excel at generating human-like text, aligning their outputs with complex, qualitative goals like pedagogical soundness remains a significant chal…
Uncovering Zero-Shot Generalization Gaps in Time-Series Foundation Models Using Real-World Videos
Lujun Li, Lama Sleem, Yiqun Wang +3
Recent research on time-series foundation models (TSFMs) has underscored the scarcity of real-world data, often supplemented with synthetic sources in existing datasets, whose gene…
Small Language Models in the Real World: Insights from Industrial Text Classification
Lujun Li, Lama Sleem, Niccolo' Gentile +2
With the emergence of ChatGPT, Transformer models have significantly advanced text classification and related tasks. Decoder-only models such as Llama exhibit strong performance an…
Exploring the Impact of Temperature on Large Language Models:Hot or Cold?
Lujun Li, Lama Sleem, Niccolo' Gentile +2
The sampling temperature, a critical hyperparameter in large language models (LLMs), modifies the logits before the softmax layer, thereby reshaping the distribution of output toke…
Is Small Language Model the Silver Bullet to Low-Resource Languages Machine Translation?
Yewei Song, Lujun Li, Cedric Lothritz +6
Low-resource languages (LRLs) lack sufficient linguistic resources and are underrepresented in benchmark datasets, resulting in persistently lower translation quality than high-res…