Bare canonicity of representable cylindric and polyadic algebras. - Jannis Bulian; Ian M. Hodkinson (Ann. Pure Appl. Log., 2013)

Graph Isomorphism Parameterized by Elimination Distance to Bounded Degree. - Jannis Bulian; Anuj Dawar (Algorithmica, 2016)

Fixed-Parameter Tractable Distances to Sparse Graph Classes. - Jannis Bulian; Anuj Dawar (Algorithmica, 2017)

Ask the Right Questions: Active Question Reformulation with Reinforcement Learning. - Christian Buck; Jannis Bulian; Massimiliano Ciaramita; Wojciech Gajewski; Andrea Gesmundo; Neil Houlsby; Wei Wang 236 (ICLR, 2018)

Analyzing Language Learned by an Active Question Answering Agent. - Christian Buck; Jannis Bulian; Massimiliano Ciaramita; Wojciech Gajewski; Andrea Gesmundo; Neil Houlsby; Wei Wang 236 (CoRR, 2018)

Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation. - Rodrigo Nogueira 001; Jannis Bulian; Massimiliano Ciaramita (CoRR, 2018)

Multi-agent query reformulation: Challenges and the role of diversity. - Rodrigo Nogueira 001; Jannis Bulian; Massimiliano Ciaramita (DeepRLStructPred@ICLR, 2019)

Meta Answering for Machine Reading. - Benjamin Börschinger; Jordan L. Boyd-Graber; Christian Buck; Jannis Bulian; Massimiliano Ciaramita; Michelle Chen Huebscher; Wojciech Gajewski; Yannic Kilcher; Rodrigo Nogueira 001; Lierni Sestorain Saralegu (CoRR, 2019)

CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims. - Thomas Diggelmann; Jordan L. Boyd-Graber; Jannis Bulian; Massimiliano Ciaramita; Markus Leippold (CoRR, 2020)

Fool Me Twice: Entailment from Wikipedia Gamification. - Julian Martin Eisenschlos; Bhuwan Dhingra; Jannis Bulian; Benjamin Börschinger; Jordan L. Boyd-Graber (NAACL-HLT, 2021)

Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation. - Jannis Bulian; Christian Buck; Wojciech Gajewski; Benjamin Börschinger; Tal Schuster (EMNLP, 2022)

Scaling Up Models and Data with t5x and seqio. - Adam Roberts; Hyung Won Chung; Anselm Levskaya; Gaurav Mishra; James Bradbury; Daniel Andor; Sharan Narang; Brian Lester; Colin Gaffney; Afroz Mohiuddin; Curtis Hawthorne; Aitor Lewkowycz; et al. (CoRR, 2022)

Scaling Up Models and Data with t5x and seqio. - Adam Roberts; Hyung Won Chung; Gaurav Mishra; Anselm Levskaya; James Bradbury; Daniel Andor; Sharan Narang; Brian Lester; Colin Gaffney; Afroz Mohiuddin; Curtis Hawthorne; Aitor Lewkowycz; et al. (J. Mach. Learn. Res., 2023)

Assessing Large Language Models on Climate Information. - Jannis Bulian; Mike S. Schäfer; Afra Amini; Heidi Lam; Massimiliano Ciaramita; Ben Gaiarin; Michelle Chen Huebscher; Christian Buck; Niels Mede; Markus Leippold; Nadine Strauß (ICML, 2024)

On scalable oversight with weak LLMs judging strong LLMs. - Zachary Kenton; Noah Y. Siegel; János Kramár; Jonah Brown-Cohen; Samuel Albanie; Jannis Bulian; Rishabh Agarwal; David Lindner; Yunhao Tang; Noah D. Goodman; Rohin Shah (NeurIPS, 2024)

How Susceptible are LLMs to Influence in Prompts? - Sotiris Anagnostidis; Jannis Bulian (CoRR, 2024)