2 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
Unfair and Unsafe: Everyday Bias Triggers Emergent Misalignment
Alex Martí Guiu, Nicolas Zumarraga, Kevin O'Sullivan +2
Emergent misalignment (EM) occurs when fine-tuning a language model to a narrow task makes it misaligned on unrelated ones. Because organizations now routinely fine-tune models on…
Lapras: Latent Reasoning for Time Series Language Models
Yuliang Chen, Yu Yvonne Wu, Patrick Langer +11
Time Series Language Models (TSLMs) offer a promising path toward time series understanding by reasoning over temporal signals and producing natural language answers and explanatio…
Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents
Lasse B. Strand, Robert Jakob, Kevin O'Sullivan +1
Retrieval-augmented generation (RAG) is a widely used approach for grounding large language models (LLMs) in external knowledge. However, configuring a pipeline is an expensive hyp…
Polistemics: Evaluating LLMs as Information Mediators in Politics & Elections
Baran Peters, Gabor Hollbeck, Robert Jakob +1
As LLMs increasingly shape the political information citizens rely on, no standard exists to assess whether they do so responsibly. We introduce Polistemics, a theory-grounded diag…