activity
20182024
most citedImproving Generalization for Multimodal Fake News Detection

14 citations · 16 across the 9 of their papers we have counts for

collaborators

9 papers

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.CL202314 cited

Improving Generalization for Multimodal Fake News Detection

Sahar Tahmasebi, Sherzod Hakimov, Ralph Ewerth +1

The increasing proliferation of misinformation and its alarming impact have motivated both industry and academia to develop approaches for fake news detection. However, state-of-th…

cs.CL2023

Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks

Sherzod Hakimov, David Schlangen

Large language models have demonstrated robust performance on various language tasks using zero-shot or few-shot learning paradigms. While being actively researched, multimodal mod…