Tootfinder

Tass: Feuer in Öllager bei Luhansk infolge Angriffs
Die russische Nachrichtenagentur Tass meldet einen Angriff auf ein Öldepot in der von Russland kontrollierten Region Luhansk. Infolge eines ukrainischen Angriffs sei dort ein Feuer ausgebrochen. Ukrainische Blogger berichten, das Depot in der Ortschaft Rowenky sei getroffen worden.
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Ukraine-Liveblog: ++ USA kündigen neue Militärhilfe für Kiew an ++
Die USA haben weitere Militärhilfe für Kiew im Wert von 400 Millionen Dollar bekanntgegeben. Bundesentwicklungsministerin Schulze hat in Lwiw eine Werkstatt zur Herstellung von Prothesen für Kriegsverletzte eröffnet. Die Entwicklungen im Liveblog.

Some article or statement on the #Internet angers you?
Then write a reply!
But afterwards consider deleting it.
https://www.nature.com/articles/s41598-024-57916-z<…

LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements
Victoria Basmov, Yoav Goldberg, Reut Tsarfaty
https://arxiv.org/abs/2404.06283

LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements
The task of reading comprehension (RC), often implemented as context-based question answering (QA), provides a primary means to assess language models' natural language understanding (NLU) capabilities. Yet, when applied to large language models (LLMs) with extensive built-in world knowledge, this method can be deceptive. If the context aligns with the LLMs' internal knowledge, it is hard to discern whether the models' answers stem from context comprehension or from LLMs' internal information. …

I thought it was called Regulatory Capture To The Stars https://newsie.social/@TheConversationUS/112418724187530093

Bu ara Cold Case seyrediyorum, epey zamandan sonra yeniden. Müzik konusunda çok iyiydi, hala öyle...
https://open.spotify.com/track/2u2udGmop1z67EPpr91km7?si=QrJ2F_RaSO6_ANghrpQx5w

Paper-Crumpling Study About the Nature of Anger Is the Best Thing I've Read in a Long Time https://www.404media.co/writing-your-feelings-on-paper-and-throwing-it-in-the-trash-reduces-anger-scientists-find/…

Beamter: Russen wollen ukrainische Stadt Wowtschansk zerstören
Russische Streitkräfte wollen einem ukrainischen Beamten zufolge die ukrainische Grenzstadt Wowtschansk zerstören. "Innerhalb von 24 Stunden gab es wahrscheinlich mehrere hundert Treffer durch Artillerie, Minen und Dutzende von Streubomben", sagte der Leiter der Polizeistreife von Wowtschansk. "Sie sind dabei, die Stadt zu zerstören und versuchen, in das Gebiet ei…
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Ukraine-Liveblog: ++ Russland meldet Tote nach Angriff bei Luhansk ++
Laut dem örtlichen Gouverneur gab es bei einem ukrainischen Angriff auf ein Öllager bei Luhansk Tote. Ein ukrainischer Beamter warnt, die Russen wollten die ukrainische Stadt Wowtschansk zerstören. Alle Entwicklungen im Liveblog.

Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan
https://arxiv.org/abs/2403.05217

Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
Open-domain question answering (ODQA) has emerged as a pivotal research spotlight in information systems. Existing methods follow two main paradigms to collect evidence: (1) The \textit{retrieve-then-read} paradigm retrieves pertinent documents from an external corpus; and (2) the \textit{generate-then-read} paradigm employs large language models (LLMs) to generate relevant documents. However, neither can fully address multifaceted requirements for evidence. To this end, we propose LLMQA, a gen…

Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan
https://arxiv.org/abs/2403.05217

Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
Open-domain question answering (ODQA) has emerged as a pivotal research spotlight in information systems. Existing methods follow two main paradigms to collect evidence: (1) The \textit{retrieve-then-read} paradigm retrieves pertinent documents from an external corpus; and (2) the \textit{generate-then-read} paradigm employs large language models (LLMs) to generate relevant documents. However, neither can fully address multifaceted requirements for evidence. To this end, we propose LLMQA, a gen…

This https://arxiv.org/abs/2402.13709 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

SaGE: Evaluating Moral Consistency in Large Language Models
Despite recent advancements showcasing the impressive capabilities of Large Language Models (LLMs) in conversational systems, we show that even state-of-the-art LLMs are morally inconsistent in their generations, questioning their reliability (and trustworthiness in general). Prior works in LLM evaluation focus on developing ground-truth data to measure accuracy on specific tasks. However, for moral scenarios that often lack universally agreed-upon answers, consistency in model responses become…