activity
20162026
most citedStarting Small -- Learning with Adaptive Sample Sizes

13 citations · 18 across the 15 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

math.ST2024

Optimality of Right-Invariant Priors

Jannis Bolik, Thomas Hofmann

We discuss optimal prediction for families of probability distributions with a locally compact topological group structure. Right-invariant priors were previously shown to yield a…

cs.CL2024

Local and Global Decoding in Text Generation

Daniel Gareev, Thomas Hofmann, Ezhilmathi Krishnasamy +1

Text generation, a key component in applications such as dialogue systems, relies on decoding algorithms that sample strings from a language model distribution. Traditional methods…

cs.CL2024

Explicit Word Density Estimation for Language Modelling

Jovan Andonov, Octavian Ganea, Paulina Grnarova +2

Language Modelling has been a central part of Natural Language Processing for a very long time and in the past few years LSTM-based language models have been the go-to method for c…

cs.LG2024★ 3 cited

Causal Estimation of Memorisation Profiles

Pietro Lesci, Clara Meister, Thomas Hofmann +2

Understanding memorisation in language models has practical and societal implications, e.g., studying models' training dynamics or preventing copyright infringements. Prior work de…

cs.CL2024

The Role of Language Imbalance in Cross-lingual Generalisation: Insights from Cloned Language Experiments

Anton Schäfer, Shauli Ravfogel, Thomas Hofmann +2

Multilinguality is crucial for extending recent advancements in language modelling to diverse linguistic communities. To maintain high performance while representing multiple langu…

cs.CL2024

On the Effect of (Near) Duplicate Subwords in Language Modelling

Anton Schäfer, Thomas Hofmann, Imanol Schlag +1

Tokenisation is a core part of language models (LMs). It involves splitting a character sequence into subwords which are assigned arbitrary indices before being served to the LM. W…