Tootfinder

あと通報大会やBAN祭りの流れはこんな話しだそうな（たぶん調べればいっぱいでてくるよ）
https://fedibird.com/@gaitifuji/115195891322146456

A Survey of Cognitive Distortion Detection and Classification in NLP
Archie Sage, Jeroen Keppens, Helen Yannakoudakis
https://arxiv.org/abs/2508.09878 https://

A Survey of Cognitive Distortion Detection and Classification in NLP
As interest grows in the application of natural language processing (NLP) techniques to mental health, a growing body of work explores the automatic detection and classification of cognitive distortions (CDs). CDs are habitual patterns of negatively biased or flawed thinking that distort how people perceive events, judge themselves, and react to the world around them. Identifying and addressing them is an important part of therapy. Despite its momentum, the field remains fragmented, with incons…

🤖 Models available: WebSailor-3B on #HuggingFace & WebDancer-QwQ-32B for complex reasoning
🛠️ Complete post-training methodology with DUPO algorithm for efficient agentic RL
https://github.com/Alibaba-NLP/W…

:sitake:

Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research
Molly R Petersen, Claire E Stevenson, Lonneke van der Plas
https://arxiv.org/abs/2509.09381

Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research
Analogical reasoning is an essential aspect of human cognition. In this paper, we summarize key theory about the processes underlying analogical reasoning from the cognitive science literature and relate it to current research in natural language processing. While these processes can be easily linked to concepts in NLP, they are generally not viewed through a cognitive lens. Furthermore, we show how these notions are relevant for several major challenges in NLP research, not directly related to…

わかりみがふかい

Prompting the Market? A Large-Scale Meta-Analysis of GenAI in Finance NLP (2022-2025)
Paolo Pedinotti, Peter Baumann, Nathan Jessurun, Leslie Barrett, Enrico Santus
https://arxiv.org/abs/2509.09544

Prompting the Market? A Large-Scale Meta-Analysis of GenAI in Finance NLP (2022-2025)
Large Language Models (LLMs) have rapidly reshaped financial NLP, enabling new tasks and driving a proliferation of datasets and diversification of data sources. Yet, this transformation has outpaced traditional surveys. In this paper, we present MetaGraph, a generalizable methodology for extracting knowledge graphs from scientific literature and analyzing them to obtain a structured, queryable view of research trends. We define an ontology for financial NLP research and apply an LLM-based extr…

@… @…

なんかBluesky勢たいへんそうねえ

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