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Choisir un livre, c’est toujours un art subtil. Et celui-ci fut un savant mélange : je rate mon train, mais je vais faire un tour chez Tropisme, Š Bruxelles. Rater un train en Belgique, ce n’est jamais vraiment un train raté, mais plutôt une belle alchimie de retards et d’arrivées Š l’heure possibles. Finalement, ce fut une bonne idée.
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🌟 Astrocytes are superstars in the game of long-term memory
#memory

Astrocytes are superstars in the game of long-term memory
Why are we able to recall only some of our past experiences? A new study led by Jun Nagai at the RIKEN Center for Brain Science in Japan has an answer. Surprisingly, it turns out that the brain cells responsible for stabilizing memories aren't neurons. Rather, they are astrocytes, a type of glial cell that is usually thought of as a role player in the game of learning and memory.

The consequences of the 996 working hour system:
"On the Chinese internet, the country’s current predicament – slowing economic growth, a falling birthrate, a meagre social safety net, increasing isolation on the world stage – is often expressed through buzzwords. There is tangping, or “lying flat”, a term used to describe the young generation of Chinese who are choosing to chill out rather than hustle in China’s high-pressure economy. There is runxue, or “run philosophy”, which re…

U-Turn: Enhancing Incorrectness Analysis by Reversing Direction
Flavio Ascari, Roberto Bruni, Roberta Gori, Azalea Raad
https://arxiv.org/abs/2510.09292 https://

U-Turn: Enhancing Incorrectness Analysis by Reversing Direction
O'Hearn's Incorrectness Logic (IL) has sparked renewed interest in static analyses that aim to detect program errors rather than prove their absence, thereby avoiding false alarms -- a critical factor for practical adoption in industrial settings. As new incorrectness logics emerge to capture diverse error-related properties, a key question arises: can the combination of (in)correctness techniques enhance precision, expressiveness, automation, or scalability? Notable frameworks, such as outcome…

Reproducing and Extending Causal Insights Into Term Frequency Computation in Neural Rankers
Cile van Marken, Roxana Petcu
https://arxiv.org/abs/2510.06728 https://

Reproducing and Extending Causal Insights Into Term Frequency Computation in Neural Rankers
Neural ranking models have shown outstanding performance across a variety of tasks, such as document retrieval, re-ranking, question answering and conversational retrieval. However, the inner decision process of these models remains largely unclear, especially as models increase in size. Most interpretability approaches, such as probing, focus on correlational insights rather than establishing causal relationships. The paper 'Axiomatic Causal Interventions for Reverse Engineering Relevance Comp…

A Formal Framework for Fluency-based Multi-Reference Evaluation in Grammatical Error Correction
Eitan Klinger, Zihao Huang, Tran Minh Nguyen, Emma Jayeon Park, Yige Chen, Yang Gu, Qingyu Gao, Siliang Liu, Mengyang Qiu, Jungyeul Park
https://arxiv.org/abs/2510.06749

A Formal Framework for Fluency-based Multi-Reference Evaluation in Grammatical Error Correction
Evaluating grammatical error correction requires metrics that reflect the diversity of valid human corrections rather than privileging a single reference. Existing frameworks, largely edit-based and English-centric, rely on rigid alignments between system and reference edits, limiting their applicability in multilingual and generative settings. This paper introduces a formal framework for \textit{fluency-based multi-reference evaluation}, framing $n$-gram similarity as an aggregation problem ov…

Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery
Antonio Mart\'inez-Ibarra, Aurora Gonz\'alez-Vidal, Adri\'an C\'anovas-Rodr\'iguez, Antonio F. Skarmeta
https://arxiv.org/abs/2510.09736

Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery
The Mar Menor, Europe's largest coastal lagoon, located in Spain, has undergone severe eutrophication crises. Monitoring chlorophyll-a (Chl-a) is essential to anticipate harmful algal blooms and guide mitigation. Traditional in situ measurements are spatially and temporally limited. Satellite-based approaches provide a more comprehensive view, enabling scalable, long-term, and transferable monitoring. This study aims to overcome limitations of chlorophyll monitoring, often restricted to surface…

Towards Reliable Retrieval in RAG Systems for Large Legal Datasets
Markus Reuter, Tobias Lingenberg, R\=uta Liepi\c{n}a, Francesca Lagioia, Marco Lippi, Giovanni Sartor, Andrea Passerini, Burcu Sayin
https://arxiv.org/abs/2510.06999

Towards Reliable Retrieval in RAG Systems for Large Legal Datasets
Retrieval-Augmented Generation (RAG) is a promising approach to mitigate hallucinations in Large Language Models (LLMs) for legal applications, but its reliability is critically dependent on the accuracy of the retrieval step. This is particularly challenging in the legal domain, where large databases of structurally similar documents often cause retrieval systems to fail. In this paper, we address this challenge by first identifying and quantifying a critical failure mode we term Document-Leve…