25 citations · 42 across the 7 of their papers we have counts for
7 papers
Terminal-Bench-LILT: Multilingual Agentic Coding Benchmark Grounded in Language, Region, and Culture
Yunsu Kim, Kaden Uhlig, Ashwin Purohit +10
Most evaluations for coding agents are conducted exclusively in English, which does not reflect real-world multilingual deployment. We present Terminal-Bench-LILT, a suite of 300 a…
Neural Machine Translation Models Can Learn to be Few-shot Learners
Raphael Reinauer, Patrick Simianer, Kaden Uhlig +2
The emergent ability of Large Language Models to use a small number of examples to learn to perform in novel domains and tasks, also called in-context learning (ICL). In this work,…
STAR: A Schema-Guided Dialog Dataset for Transfer Learning
Johannes E. M. Mosig, Shikib Mehri, Thomas Kober
We present STAR, a schema-guided task-oriented dialog dataset consisting of 127,833 utterances and knowledge base queries across 5,820 task-oriented dialogs in 13 domains that is e…
Where is the context? -- A critique of recent dialogue datasets
Johannes E. M. Mosig, Vladimir Vlasov, Alan Nichol
Recent dialogue datasets like MultiWOZ 2.1 and Taskmaster-1 constitute some of the most challenging tasks for present-day dialogue models and, therefore, are widely used for system…
Dialogue Transformers
Vladimir Vlasov, Johannes E. M. Mosig, Alan Nichol
We introduce a dialogue policy based on a transformer architecture, where the self-attention mechanism operates over the sequence of dialogue turns. Recent work has used hierarchic…
Chemical-potential flow equations for graphene with Coulomb interactions
Christian Fräßdorf, Johannes E. M. Mosig
We calculate the chemical potential dependence of the renormalized Fermi velocity and static dielectric function for Dirac quasiparticles in graphene nonperturbatively at finite te…
Keldysh functional renormalization group for electronic properties of graphene
Christian Fräßdorf, Johannes E. M. Mosig
We construct a nonperturbative nonequilibrium theory for graphene electrons interacting via the instantaneous Coulomb interaction by combining the functional renormalization group…