Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hirsch, Eran"'
Autor:
Roit, Paul, Slobodkin, Aviv, Hirsch, Eran, Cattan, Arie, Klein, Ayal, Pyatkin, Valentina, Dagan, Ido
Detecting semantic arguments of a predicate word has been conventionally modeled as a sentence-level task. The typical reader, however, perfectly interprets predicate-argument relations in a much wider context than just the sentence where the predica
Externí odkaz:
http://arxiv.org/abs/2408.04246
Despite the unprecedented success of text-to-image diffusion models, controlling the number of depicted objects using text is surprisingly hard. This is important for various applications from technical documents, to children's books to illustrating
Externí odkaz:
http://arxiv.org/abs/2406.10210
Recent efforts to address hallucinations in Large Language Models (LLMs) have focused on attributed text generation, which supplements generated texts with citations of supporting sources for post-generation fact-checking and corrections. Yet, these
Externí odkaz:
http://arxiv.org/abs/2403.17104
Planning is a fundamental task in artificial intelligence that involves finding a sequence of actions that achieve a specified goal in a given environment. Large language models (LLMs) are increasingly used for applications that require planning capa
Externí odkaz:
http://arxiv.org/abs/2402.11489
The recently introduced Controlled Text Reduction (CTR) task isolates the text generation step within typical summarization-style tasks. It does so by challenging models to generate coherent text conforming to pre-selected content within the input te
Externí odkaz:
http://arxiv.org/abs/2310.09017
Text-conditioned image generation models often generate incorrect associations between entities and their visual attributes. This reflects an impaired mapping between linguistic binding of entities and modifiers in the prompt and visual binding of th
Externí odkaz:
http://arxiv.org/abs/2306.08877
Tasks involving text generation based on multiple input texts, such as multi-document summarization, long-form question answering and contemporary dialogue applications, challenge models for their ability to properly consolidate partly-overlapping mu
Externí odkaz:
http://arxiv.org/abs/2305.15605
Producing a reduced version of a source text, as in generic or focused summarization, inherently involves two distinct subtasks: deciding on targeted content and generating a coherent text conveying it. While some popular approaches address summariza
Externí odkaz:
http://arxiv.org/abs/2210.13449
Several recent works have suggested to represent semantic relations with questions and answers, decomposing textual information into separate interrogative natural language statements. In this paper, we consider three QA-based semantic tasks - namely
Externí odkaz:
http://arxiv.org/abs/2205.11413
Autor:
Hirsch, Eran, Eirew, Alon, Shapira, Ori, Caciularu, Avi, Cattan, Arie, Ernst, Ori, Pasunuru, Ramakanth, Ronen, Hadar, Bansal, Mohit, Dagan, Ido
We introduce iFacetSum, a web application for exploring topical document sets. iFacetSum integrates interactive summarization together with faceted search, by providing a novel faceted navigation scheme that yields abstractive summaries for the user'
Externí odkaz:
http://arxiv.org/abs/2109.11621