Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU. - Brielen Madureira; David Schlangen (EMNLP (1), 2020)

An Overview of Natural Language State Representation for Reinforcement Learning. - Brielen Madureira; David Schlangen (CoRR, 2020)

Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU. - Patrick Kahardipraja; Brielen Madureira; David Schlangen (EMNLP (1), 2021)

Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge. - Brielen Madureira; David Schlangen (ACL (2), 2022)

TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model. - Patrick Kahardipraja; Brielen Madureira; David Schlangen (ACL (Findings), 2023)

Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing. - Brielen Madureira; Pelin Çelikkol; David Schlangen (CoNLL, 2023)

Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset. - Brielen Madureira; David Schlangen (EACL, 2023)

clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents. - Kranti Chalamalasetti; Jana Götze; Sherzod Hakimov; Brielen Madureira; Philipp Sadler; David Schlangen (EMNLP, 2023)

The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling. - Brielen Madureira; Patrick Kahardipraja; David Schlangen (SIGDIAL, 2023)

"Are you telling me to put glasses on the dog?" Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset. - Brielen Madureira; David Schlangen (CoRR, 2023)

When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality. - Brielen Madureira; Patrick Kahardipraja; David Schlangen (ACL (1), 2024)

It Couldn't Help but Overhear: On the Limits of Modelling Meta-Communicative Grounding Acts with Supervised Learning. - Brielen Madureira; David Schlangen (SIGDIAL, 2024)

Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests. - Brielen Madureira; David Schlangen (CoRR, 2024)

clembench-2024: A Challenging, Dynamic, Complementary, Multilingual Benchmark and Underlying Flexible Framework for LLMs as Multi-Action Agents. - Anne Beyer; Kranti Chalamalasetti; Sherzod Hakimov; Brielen Madureira; Philipp Sadler; David Schlangen (CoRR, 2024)

Incrementally enriching the common ground: cognitively motivated evaluative approaches to dialogue processing with deep learning models. - Brielen Madureira (2024)