Tootfinder

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…

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

Automated Unity Game Template Generation from GDDs via NLP and Multi-Modal LLMs
Amna Hassan
https://arxiv.org/abs/2509.08847 https://arxiv.org/pdf/2509.088…

Automated Unity Game Template Generation from GDDs via NLP and Multi-Modal LLMs
This paper presents a novel framework for automated game template generation by transforming Game Design Documents (GDDs) into functional Unity game prototypes using Natural Language Processing (NLP) and multi-modal Large Language Models (LLMs). We introduce an end-to-end system that parses GDDs, extracts structured game specifications, and synthesizes Unity-compatible C# code that implements the core mechanics, systems, and architecture defined in the design documentation. Our approach combine…

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…

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:ureshicat_parrot:

緑青団子？？

わかりみがふかい

そろそろ透明家電を

全脳はちょっと（？）