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20172026
most citedExploring the Impact of Temperature on Large Language Models:Hot or Cold?

2 citations · 4 across the 11 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CR2025

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…

cs.CL2025

Do Large Language Models Grasp The Grammar? Evidence from Grammar-Book-Guided Probing in Luxembourgish

Lujun Li, Yewei Song, Lama Sleem +7

Grammar refers to the system of rules that governs the structural organization and the semantic relations among linguistic units such as sentences, phrases, and words within a give…

cs.AI2025

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…

cs.CL2025

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…

cs.CL2025★ 2 cited

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…

cs.CL2025

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…