most citedDialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy

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cs.CL2024

LLMs as Function Approximators: Terminology, Taxonomy, and Questions for Evaluation

David Schlangen

Natural Language Processing has moved rather quickly from modelling specific tasks to taking more general pre-trained models and fine-tuning them for specific tasks, to a point whe…

cs.CL2024

Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft

Chalamalasetti Kranti, Sherzod Hakimov, David Schlangen

In the Minecraft Collaborative Building Task, two players collaborate: an Architect (A) provides instructions to a Builder (B) to assemble a specified structure using 3D blocks. In…

cs.CL2024

How Many Parameters Does it Take to Change a Light Bulb? Evaluating Performance in Self-Play of Conversational Games as a Function of Model Characteristics

Nidhir Bhavsar, Jonathan Jordan, Sherzod Hakimov +1

What makes a good Large Language Model (LLM)? That it performs well on the relevant benchmarks -- which hopefully measure, with some validity, the presence of capabilities that are…

cs.CL2024

Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies

Philipp Sadler, Sherzod Hakimov, David Schlangen

In collaborative goal-oriented settings, the participants are not only interested in achieving a successful outcome, but do also implicitly negotiate the effort they put into the i…

cs.CL2024

Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game

Philipp Sadler, Sherzod Hakimov, David Schlangen

Albrecht and Stone (2018) state that modeling of changing behaviors remains an open problem "due to the essentially unconstrained nature of what other agents may do". In this work…

cs.CL2024

Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests

Brielen Madureira, David Schlangen

Clarification requests are a mechanism to help solve communication problems, e.g. due to ambiguity or underspecification, in instruction-following interactions. Despite their impor…