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pro vyhledávání: '"Mor, AS"'
This paper examines how large language models (LLMs) can help people write constructive comments in online debates on divisive social issues and whether the notions of constructiveness vary across cultures. Through controlled experiments with 600 par
Externí odkaz:
http://arxiv.org/abs/2411.03295
Autor:
Levy, Amit Arnold, Geva, Mor
Large language models (LLMs) frequently make errors when handling even simple numerical problems, such as comparing two small numbers. A natural hypothesis is that these errors stem from how LLMs represent numbers, and specifically, whether their rep
Externí odkaz:
http://arxiv.org/abs/2410.11781
How are Reddit communities responding to AI-generated content? We explored this question through a large-scale analysis of subreddit community rules and their change over time. We collected the metadata and community rules for over 300,000 public sub
Externí odkaz:
http://arxiv.org/abs/2410.11698
Continuous prompts, or "soft prompts", are a widely-adopted parameter-efficient tuning strategy for large language models, but are often less favorable due to their opaque nature. Prior attempts to interpret continuous prompts relied on projecting in
Externí odkaz:
http://arxiv.org/abs/2410.11660
Facial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent systems. The performance of FER in multiple domains is continuously being improved, especially through advancements in data-driven
Externí odkaz:
http://arxiv.org/abs/2410.09743
Broadly accessible generative AI models like Dall-E have made it possible for anyone to create compelling visual art. In online communities, the introduction of AI-generated content (AIGC) may impact community dynamics by shifting the kinds of conten
Externí odkaz:
http://arxiv.org/abs/2410.07302
Vision-Language Models (VLMs) are powerful tools for processing and understanding text and images. We study the processing of visual tokens in the language model component of LLaVA, a prominent VLM. Our approach focuses on analyzing the localization
Externí odkaz:
http://arxiv.org/abs/2410.07149
Black hole - neutron star $(BH/NS)$ binaries are of interest in many ways: they are intrinsically multi-messenger systems, highly transient, radiate gravitational waves detectable by LIGO, and may produce $\gamma$-ray bursts. Although it has long bee
Externí odkaz:
http://arxiv.org/abs/2410.05391
Autor:
Ventura, Mor, Toker, Michael, Calderon, Nitay, Gekhman, Zorik, Bitton, Yonatan, Reichart, Roi
Will a Visual Language Model (VLM)-based bot warn us about slipping if it detects a wet floor? Recent VLMs have demonstrated impressive capabilities, yet their ability to infer outcomes and causes remains underexplored. To address this, we introduce
Externí odkaz:
http://arxiv.org/abs/2410.02613
Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, like many other AI tools they may risk causing a variety of harms, dispr
Externí odkaz:
http://arxiv.org/abs/2410.00906