105 citations · 501 across the 65 of their papers we have counts for
8 papers · 1 filter
Dark LLMs: The Growing Threat of Unaligned AI Models
Michael Fire, Yitzhak Elbazis, Adi Wasenstein +1
Large Language Models (LLMs) rapidly reshape modern life, advancing fields from healthcare to education and beyond. However, alongside their remarkable capabilities lies a signific…
Forget What You Know about LLMs Evaluations -- LLMs are Like a Chameleon
Nurit Cohen-Inger, Yehonatan Elisha, Bracha Shapira +2
Large language models (LLMs) often appear to excel on public benchmarks, but these high scores may mask an overreliance on dataset-specific surface cues rather than true language u…
A Novel Method for News Article Event-Based Embedding
Koren Ishlach, Itzhak Ben-David, Michael Fire +1
Embedding news articles is a crucial tool for multiple fields, such as media bias detection, identifying fake news, and making news recommendations. However, existing news embeddin…
The Branch Not Taken: Predicting Branching in Online Conversations
Shai Meital, Lior Rokach, Roman Vainshtein +1
Multi-participant discussions tend to unfold in a tree structure rather than a chain structure. Branching may occur for multiple reasons -- from the asynchronous nature of online p…
Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet
Victor Makarenkov, Lior Rokach
One of the challenges in the NLP field is training large classification models, a task that is both difficult and tedious. It is even harder when GPU hardware is unavailable. The i…
Implicit Dimension Identification in User-Generated Text with LSTM Networks
Victor Makarenkov, Ido Guy, Niva Hazon +3
In the process of online storytelling, individual users create and consume highly diverse content that contains a great deal of implicit beliefs and not plainly expressed narrative…