Tootfinder

Critique 935 – Après Canguilhem: Nouveaux dialogues entre médecine et philosophie (via @… )
« Ôtez Canguilhem et vous ne comprenez plus grand-chose Š toute une série de discussions. »
Par ces mots, Michel #Foucault faisait de Georges

Critique 935 – Après Canguilhem: Nouveaux dialogues entre médecine et philosophie
Critique 935 – Après Canguilhem: Nouveaux dialogues entre médecine et philosophie « Ôtez Canguilhem et vous ne comprenez plus grand-chose à toute une série de discussions. » Par ces…

Collaborative Editable Model
Kaiwen Tang, Aitong Wu, Yao Lu, Guangda Sun
https://arxiv.org/abs/2506.14146 https://arxiv.org/pdf/2506.…

Collaborative Editable Model
Vertical-domain large language models (LLMs) play a crucial role in specialized scenarios such as finance, healthcare, and law; however, their training often relies on large-scale annotated data and substantial computational resources, impeding rapid development and continuous iteration. To address these challenges, we introduce the Collaborative Editable Model (CoEM), which constructs a candidate knowledge pool from user-contributed domain snippets, leverages interactive user-model dialogues c…

A Topological Semantics of Dialogue: Nerve Structures and Logical Extraction
Andreu Ballus Santacana
https://arxiv.org/abs/2506.00615 https://

A Topological Semantics of Dialogue: Nerve Structures and Logical Extraction
We introduce a concise, topologically-motivated semantics for finite dialogues by mapping each utterance to an open set in a fixed semantic space, building the corresponding nerve complex of joint satisfiability, and extracting fundamental combinatorial invariants: 1. The negative nerve, which enumerates all finite collections of utterances whose opens have empty intersection, providing a straightforward criterion for merging separate transcripts without contradiction. 2. The global int…

BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses
Shadman Rohan, Ishita Sur Apan, Muhtasim Ibteda Shochcho, Md Fahim, Mohammad Ashfaq Ur Rahman, AKM Mahbubur Rahman, Amin Ahsan Ali
https://arxiv.org/abs/2506.01817

BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses
We present Team BD's submission to the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors, under Track 1 (Mistake Identification) and Track 2 (Mistake Location). Both tracks involve three-class classification of tutor responses in educational dialogues - determining if a tutor correctly recognizes a student's mistake (Track 1) and whether the tutor pinpoints the mistake's location (Track 2). Our system is built on MPNet, a Transformer-based language model that combines …