Tootfinder

In der alten @… Straßenbahn durchs Mannheimer Stadtgebiet :blobcataww:
#RNV #tram

A list of sci-fi movies ordered by the year they were set in (not when they were made). Those years that are now in the past are marked in blue!
#SciFi https://rheinneckar.social/@splitmind/

PVV, FvD, BBB en JA21 willen migranten deporteren (volgens klassieke hondenfluitjes methode onder de term remigratie)
#TK2025

Deze politieke partijen willen migranten deporteren
PVV, FvD, BBB en JA21 pleiten in hun verkiezingsprogramma’s voor het ‘remigreren’ van mensen met een migratieachtergrond. Daarmee normaliseren ze een rechts-extremistische term voor deportaties. Experts waarschuwen voor de gevolgen.

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
Tiancheng Xing, Jerry Li, Yixuan Du, Xiyang Hu
https://arxiv.org/abs/2510.06732 https://

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
Large language models (LLMs) are increasingly used as rerankers in information retrieval, yet their ranking behavior can be steered by small, natural-sounding prompts. To expose this vulnerability, we present Rank Anything First (RAF), a two-stage token optimization method that crafts concise textual perturbations to consistently promote a target item in LLM-generated rankings while remaining hard to detect. Stage 1 uses Greedy Coordinate Gradient to shortlist candidate tokens at the current po…

Remember the stray dog that we adopted a few weeks ago, after park rangers cared for her in a natural reserve but without them being able to find anyone who would claim her as a lost/runaway dog?
Today we took her to be spayed. It was a short surgery, as the vet quickly noticed that she was already spayed. Seems she's at least a year older than initially estimated – which means that it's likely that someone abandoned the poor thing in the reserve.
#dogsofmastodon

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…

Kommer Svenska Akademin att tilldela Nobelpriset i litteratur en folkmordförnekare som dem gjorde 2019?

In der alten @… Straßenbahn durchs Mannheimer Stadtgebiet :blobcataww:
#RNV #tram

RE: https://rheinneckar.social/@admin/115508415298684185
Testing this quote post thingy, hello