activity
20212026
most citedHuman Interpretation of Saliency-based Explanation Over Text

27 citations · 35 across the 11 of their papers we have counts for

collaborators

11 papers

cs.HC2026

Perceived System Predictability: Scale Development and Application

Hendrik Schuff, Heike Adel, Ngoc Thang Vu

How predictable users perceive an interactive system to be shapes how they interpret, trust, and rely on it, yet HCI lacks both a precise conceptualization and a validated instrume…

cs.CL2024

Investigating the effect of Mental Models in User Interaction with an Adaptive Dialog Agent

Lindsey Vanderlyn, Dirk Väth, Ngoc Thang Vu

Mental models play an important role in whether user interaction with intelligent systems, such as dialog systems is successful or not. Adaptive dialog systems present the opportun…

cs.CL2024

Towards a Zero-Data, Controllable, Adaptive Dialog System

Dirk Väth, Lindsey Vanderlyn, Ngoc Thang Vu

Conversational Tree Search (Väth et al., 2023) is a recent approach to controllable dialog systems, where domain experts shape the behavior of a Reinforcement Learning agent throug…

cs.CL2024★ 1 cited

Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings

Wei Zhou, Heike Adel, Hendrik Schuff +1

Attribution scores indicate the importance of different input parts and can, thus, explain model behaviour. Currently, prompt-based models are gaining popularity, i.a., due to thei…

cs.CL2023★ 1 cited

Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers

Manuel Mager, Elisabeth Mager, Katharina Kann +1

In recent years machine translation has become very successful for high-resource language pairs. This has also sparked new interest in research on the automatic translation of low-…

cs.CL2023

Neighboring Words Affect Human Interpretation of Saliency Explanations

Alon Jacovi, Hendrik Schuff, Heike Adel +2

Word-level saliency explanations ("heat maps over words") are often used to communicate feature-attribution in text-based models. Recent studies found that superficial factors such…

cs.CL2023

Conversational Tree Search: A New Hybrid Dialog Task

Dirk Väth, Lindsey Vanderlyn, Ngoc Thang Vu

Conversational interfaces provide a flexible and easy way for users to seek information that may otherwise be difficult or inconvenient to obtain. However, existing interfaces gene…

cs.CL2022★ 2 cited

Challenges in Explanation Quality Evaluation

Hendrik Schuff, Heike Adel, Peng Qi +1

While much research focused on producing explanations, it is still unclear how the produced explanations' quality can be evaluated in a meaningful way. Today's predominant approach…

cs.CL2022★ 27 cited

Human Interpretation of Saliency-based Explanation Over Text

Hendrik Schuff, Alon Jacovi, Heike Adel +2

While a lot of research in explainable AI focuses on producing effective explanations, less work is devoted to the question of how people understand and interpret the explanation.…

cs.CL2021★ 4 cited

Integrating Knowledge in End-to-End Automatic Speech Recognition for Mandarin-English Code-Switching

Chia-Yu Li, Ngoc Thang Vu

Code-Switching (CS) is a common linguistic phenomenon in multilingual communities that consists of switching between languages while speaking. This paper presents our investigation…

cs.CV2021

Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking

Dirk Väth, Pascal Tilli, Ngoc Thang Vu

On the way towards general Visual Question Answering (VQA) systems that are able to answer arbitrary questions, the need arises for evaluation beyond single-metric leaderboards for…