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pro vyhledávání: '"Pölitz A"'
Publikováno v:
Proceedings of the EuSpRIG 2024 Conference "Spreadsheet Productivity & Risks" ISBN : 978-1-905404-59-9
Generative AI, with its tendency to "hallucinate" incorrect results, may pose a risk to knowledge work by introducing errors. On the other hand, it may also provide unprecedented opportunities for users, particularly non-experts, to learn and apply a
Externí odkaz:
http://arxiv.org/abs/2412.15030
Autor:
Murugadoss, Bhuvanashree, Poelitz, Christian, Drosos, Ian, Le, Vu, McKenna, Nick, Negreanu, Carina Suzana, Parnin, Chris, Sarkar, Advait
LLMs-as-a-judge is a recently popularized method which replaces human judgements in task evaluation (Zheng et al. 2024) with automatic evaluation using LLMs. Due to widespread use of RLHF (Reinforcement Learning from Human Feedback), state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2408.08781
Self-correction in text-to-SQL is the process of prompting large language model (LLM) to revise its previously incorrectly generated SQL, and commonly relies on manually crafted self-correction guidelines by human experts that are not only labor-inte
Externí odkaz:
http://arxiv.org/abs/2406.12692
Autor:
Barke, Shraddha, Poelitz, Christian, Negreanu, Carina Suzana, Zorn, Benjamin, Cambronero, José, Gordon, Andrew D., Le, Vu, Nouri, Elnaz, Polikarpova, Nadia, Sarkar, Advait, Slininger, Brian, Toronto, Neil, Williams, Jack
Large language models (LLMs) are rapidly replacing help forums like StackOverflow, and are especially helpful for non-professional programmers and end users. These users are often interested in data-centric tasks, such as spreadsheet manipulation and
Externí odkaz:
http://arxiv.org/abs/2402.11734
Autor:
Payan, Justin, Mishra, Swaroop, Singh, Mukul, Negreanu, Carina, Poelitz, Christian, Baral, Chitta, Roy, Subhro, Chakravarthy, Rasika, Van Durme, Benjamin, Nouri, Elnaz
With the evolution of Large Language Models (LLMs) we can solve increasingly more complex NLP tasks across various domains, including spreadsheets. This work investigates whether LLMs can generate code (Excel OfficeScripts, a TypeScript API for execu
Externí odkaz:
http://arxiv.org/abs/2310.14495
Autor:
Sarkar, Advait, Gordon, Andrew D., Negreanu, Carina, Poelitz, Christian, Ragavan, Sruti Srinivasa, Zorn, Ben
Large language models, such as OpenAI's codex and Deepmind's AlphaCode, can generate code to solve a variety of problems expressed in natural language. This technology has already been commercialised in at least one widely-used programming editor ext
Externí odkaz:
http://arxiv.org/abs/2208.06213
Autor:
Sven Hohenstein, Andreas Bollmann, Christian Prinz, Leonard Fehring, Hendrik Brinkmann, Patrick Dirks, Jörg Pölitz
Publikováno v:
BMJ Open Gastroenterology, Vol 11, Iss 1 (2024)
Objective Cholecystectomy is one of the most frequently performed surgeries in Germany and is performed as a treatment of acute cholecystitis (guideline S3 IIIB.8) and after endoscopic retrograde cholangiopancreatography for choledocholithiasis with
Externí odkaz:
https://doaj.org/article/28ef2637221d4e0e8c578642e0eb7c12
Recently, Recurrent Neural Networks (RNNs) have been applied to the task of session-based recommendation. These approaches use RNNs to predict the next item in a user session based on the previ- ously visited items. While some approaches consider add
Externí odkaz:
http://arxiv.org/abs/1706.10231
Assessing the degree of semantic relatedness between words is an important task with a variety of semantic applications, such as ontology learning for the Semantic Web, semantic search or query expansion. To accomplish this in an automated fashion, m
Externí odkaz:
http://arxiv.org/abs/1705.07425
Autor:
Erdmann, Elena, Boczek, Karin, Koppers, Lars, von Nordheim, Gerret, Pölitz, Christian, Molina, Alejandro, Morik, Katharina, Müller, Henrik, Rahnenführer, Jörg, Kersting, Kristian
Migration crisis, climate change or tax havens: Global challenges need global solutions. But agreeing on a joint approach is difficult without a common ground for discussion. Public spheres are highly segmented because news are mainly produced and re
Externí odkaz:
http://arxiv.org/abs/1606.05110