2 citations · 3 across the 15 of their papers we have counts for
4 papers · 1 filter
Evaluating Pluralism in LLMs through Latent Perspectives
Laura Majer, Jan Šnajder, Martin Tutek
The growing need to represent diverse perspectives has increased interest in pluralistic LLM generation. Although difficult to operationalize, identifying perspectives expressed in…
Reasoning Models Know What's Important, and Encode It in Their Activations
Yaniv Nikankin, Martin Tutek, Tomer Ashuach +2
Language models often solve complex tasks by generating long reasoning chains, consisting of many steps with varying importance. While some steps are crucial for generating the fin…
Old Habits Die Hard: How Conversational History Geometrically Traps LLMs
Adi Simhi, Fazl Barez, Martin Tutek +2
How does the conversational past of large language models (LLMs) influence their future performance? Recent work suggests that LLMs are affected by their conversational history in…
Sequence Repetition Enhances Token Embeddings and Improves Sequence Labeling with Decoder-only Language Models
Matija Luka Kukić, Marko Čuljak, David Dukić +2
Modern language models (LMs) are trained in an autoregressive manner, conditioned only on the prefix. In contrast, sequence labeling (SL) tasks assign labels to each individual inp…