Tootfinder

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
Sai Suresh Marchala Vasu, Ivaxi Sheth, Hui-Po Wang, Ruta Binkyte, Mario Fritz
https://arxiv.org/abs/2509.13400

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
The adoption of large language models (LLMs) is transforming the peer review process, from assisting reviewers in writing more detailed evaluations to generating entire reviews automatically. While these capabilities offer exciting opportunities, they also raise critical concerns about fairness and reliability. In this paper, we investigate bias in LLM-generated peer reviews by conducting controlled experiments on sensitive metadata, including author affiliation and gender. Our analysis consist…

An interview with TPM's Josh Marshall on the political blog turning 25, lessons from being an outsider, staying independent, ads vs. memberships, and more (Liam Scott/Columbia Journalism Review)
https://www.cjr.org/the-interview/how-talking-po…

How Talking Points Memo lasted a quarter century.
Josh Marshall reflects on building “a tabloid for smart people” and how his politics blog survived in a “chaotic and unstable and bad business.”

Ok, Personen im Gleisbereich, ça arrive, >1h Verspätung in Marseille. Rückerstattungsantrag bei #SBB ausfüllen, einloggen mit dem Swisspass, dann bitte Verbindung suchen mit der Fahrplanauskunft - nur in den Antragsprozess übernehmen kann man die herausgesuchte Verbindung nicht, also doch manuell, dann Kopie des Billets, also im ernst Föteli von der App im Händy, dabei habe ich die doch auf dem Swissp…

Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey
Abdulhady Abas Abdullah, Arkaitz Zubiaga, Seyedali Mirjalili, Amir H. Gandomi, Fatemeh Daneshfar, Mohammadsadra Amini, Alan Salam Mohammed, Hadi Veisi
https://arxiv.org/abs/2510.12178

Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey
This review surveys the rapid evolution of Meta AI's LLaMA (Large Language Model Meta AI) series - from LLaMA 1 through LLaMA 4 and the specialized parameter-efficient fine-tuning (PEFT) methods developed for these models. We first describe the LLaMA family of foundation models (7B-65B to 288B parameters), their architectures (including native multimodal and Mixtureof-Experts variants), and key performance characteristics. We then describe and discuss the concept of PEFT, which adapts large pre…

Analysis of the isotopologues of CS, CCS, CCCS, HCS , HCCS , and H2CS in TMC-1 with the QUIJOTE line survey
R. Fuentetaja, C. Cabezas, Y. Endo, M. Ag\'undez, A. Godard Palluet, F. Lique, B. Tercero, N. Marcelino, P. de Vicente, J. Cernicharo
https://arxiv.org/abs/2509.14425

Analysis of the isotopologues of CS, CCS, CCCS, HCS+, HCCS+, and H2CS in TMC-1 with the QUIJOTE line survey
We performed a detailed analysis of the isotopologues with 13C, 34S, 33S, and 36S of the sulphur-bearing molecules CS, CCS, CCCS,HCS+, HCCS+, and H2CS towards TMC-1 using the QUIJOTE1. The observations were obtained with the Yebes radio telescope. Observations with the IRAM 30m of the most abundant isotopologues of these species are also presented and used to estimate volume densities and to constrain the excitation conditions. We report the first detection in space of C13C34S, CC33S, CCC33S, H…

Benchmark of stylistic variation in LLM-generated texts
Ji\v{r}\'i Mili\v{c}ka, Anna Marklov\'a, V\'aclav Cvr\v{c}ek
https://arxiv.org/abs/2509.10179 https://…

Benchmark of stylistic variation in LLM-generated texts
This study investigates the register variation in texts written by humans and comparable texts produced by large language models (LLMs). Biber's multidimensional analysis (MDA) is applied to a sample of human-written texts and AI-created texts generated to be their counterparts to find the dimensions of variation in which LLMs differ most significantly and most systematically from humans. As textual material, a new LLM-generated corpus AI-Brown is used, which is comparable to BE-21 (a Brown fam…

"In the budget speech this year, commission president Ursula von der Leyen made a bold statement that AI is expected to approach human reasoning by next year."
How the #EU commission is basing its #AI policy (and funding) on the wishful thinking of tech bros. Those, which currently use circu…

Opening Line for NFL Week 2: Rams, Eagles to cover; Panthers, Cardinals to flounder; Dolphins to what!? https://www.nytimes.com/athletic/6610803/2025/09/08/nfl-week-2-betting-picks-opening-line/

🇺🇦 #NowPlaying on KEXP's #DriveTime
Luna:
🎵 Lost in Space
#Luna
https://marsluna.bandcamp.com/track/selfish
https://open.spotify.com/track/274BPASjkClRXLfl6d0v5M

Euclid preparation. Using mock Low Surface Brightness dwarf galaxies to probe Wide Survey detection capabilities
Collaboration, Urbano, Duc, Poulain, Nucita, Venhola, Marchal, K\"ummel, Kong, Soldano, Romelli, Walmsley, Saifollahi, Voggel, Lan\c{c}on, Marleau, Sola, Hunt, Junais, Carollo, Sanchez-Alarcon, Baes, Buitrago, Cantiello, Cuillandre, S\'anchez, Ferr\'e-Mateu, Franco, Gracia-Carpio, Habas, Hilker, Iodice, Knapen, Le, Mart\'inez-Delgado, M\"uller, De Paoli…

Euclid preparation. Using mock Low Surface Brightness dwarf galaxies to probe Wide Survey detection capabilities
Local Universe dwarf galaxies are both cosmological and mass assembly probes. Deep surveys have enabled the study of these objects down to the low surface brightness (LSB) regime. In this paper, we estimate Euclid's dwarf detection capabilities as well as limits of its MERge processing function (MER pipeline), responsible for producing the stacked mosaics and final catalogues. To do this, we inject mock dwarf galaxies in a real Euclid Wide Survey (EWS) field in the VIS band and compare the inpu…