Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Shahaf, Dafna"'
We present a practical distillation approach to fine-tune LLMs for invoking tools in real-time applications. We focus on visual editing tasks; specifically, we modify images and videos by interpreting user stylistic requests, specified in natural lan
Externí odkaz:
http://arxiv.org/abs/2410.02952
Analogy-making is central to human cognition, allowing us to adapt to novel situations -- an ability that current AI systems still lack. Most analogy datasets today focus on simple analogies (e.g., word analogies); datasets including complex types of
Externí odkaz:
http://arxiv.org/abs/2403.01139
Recent advances in large language models (LLMs) have led to the development of various evaluation benchmarks. These benchmarks typically rely on a single instruction template for evaluating all LLMs on a specific task. In this paper, we comprehensive
Externí odkaz:
http://arxiv.org/abs/2401.00595
Autor:
Emuna, Hen, Borenstein, Nadav, Qian, Xin, Kang, Hyeonsu, Chan, Joel, Kittur, Aniket, Shahaf, Dafna
Biologically Inspired Design (BID), or Biomimicry, is a problem-solving methodology that applies analogies from nature to solve engineering challenges. For example, Speedo engineers designed swimsuits based on shark skin. Finding relevant biological
Externí odkaz:
http://arxiv.org/abs/2312.12681
Concepts play a pivotal role in various human cognitive functions, including learning, reasoning and communication. However, there is very little work on endowing machines with the ability to form and reason with concepts. In particular, state-of-the
Externí odkaz:
http://arxiv.org/abs/2311.01866
Analogy is one of the core capacities of human cognition; when faced with new situations, we often transfer prior experience from other domains. Most work on computational analogy relies heavily on complex, manually crafted input. In this work, we re
Externí odkaz:
http://arxiv.org/abs/2311.01860
Figures of speech such as metaphors, similes, and idioms are integral parts of human communication. They are ubiquitous in many forms of discourse, allowing people to convey complex, abstract ideas and evoke emotion. As figurative forms are often con
Externí odkaz:
http://arxiv.org/abs/2303.15445
A core process in human cognition is analogical mapping: the ability to identify a similar relational structure between different situations. We introduce a novel task, Visual Analogies of Situation Recognition, adapting the classical word-analogy ta
Externí odkaz:
http://arxiv.org/abs/2212.04542
Machine learning (ML) is revolutionizing the world, affecting almost every field of science and industry. Recent algorithms (in particular, deep networks) are increasingly data-hungry, requiring large datasets for training. Thus, the dominant paradig
Externí odkaz:
http://arxiv.org/abs/2211.07959
Autor:
Richardson, Kyle, Tamari, Ronen, Sultan, Oren, Tsarfaty, Reut, Shahaf, Dafna, Sabharwal, Ashish
Can we teach natural language understanding models to track their beliefs through intermediate points in text? We propose a representation learning framework called breakpoint modeling that allows for learning of this type. Given any text encoder and
Externí odkaz:
http://arxiv.org/abs/2211.07950