2 citations · 4 across the 9 of their papers we have counts for
9 papers
MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis
Daniel Rose, Chia-Chien Hung, Marco Lepri +3
Differential Diagnosis (DDx) is a fundamental yet complex aspect of clinical decision-making, in which physicians iteratively refine a ranked list of possible diseases based on sym…
ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination Detection
Janek Herrlein, Chia-Chien Hung, Goran Glavaš
Research on token-level reference-free hallucination detection has predominantly focused on English, primarily due to the scarcity of robust datasets in other languages. This has h…
Walking a Tightrope -- Evaluating Large Language Models in High-Risk Domains
Chia-Chien Hung, Wiem Ben Rim, Lindsay Frost +2
High-risk domains pose unique challenges that require language models to provide accurate and safe responses. Despite the great success of large language models (LLMs), such as Cha…
Linking Surface Facts to Large-Scale Knowledge Graphs
Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung +2
Open Information Extraction (OIE) methods extract facts from natural language text in the form of ("subject"; "relation"; "object") triples. These facts are, however, merely surfac…
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
Chia-Chien Hung, Lukas Lange, Jannik Strötgen
Intermediate training of pre-trained transformer-based language models on domain-specific data leads to substantial gains for downstream tasks. To increase efficiency and prevent c…
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers
Chia-Chien Hung, Anne Lauscher, Dirk Hovy +2
Demographic factors (e.g., gender or age) shape our language. Previous work showed that incorporating demographic factors can consistently improve performance for various NLP tasks…
ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System
Chia-Chien Hung, Tommaso Green, Robert Litschko +5
This paper introduces our proposed system for the MIA Shared Task on Cross-lingual Open-retrieval Question Answering (COQA). In this challenging scenario, given an input question t…
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog
Chia-Chien Hung, Anne Lauscher, Ivan Vulić +2
Research on (multi-domain) task-oriented dialog (TOD) has predominantly focused on the English language, primarily due to the shortage of robust TOD datasets in other languages, pr…
DS-TOD: Efficient Domain Specialization for Task Oriented Dialog
Chia-Chien Hung, Anne Lauscher, Simone Paolo Ponzetto +1
Recent work has shown that self-supervised dialog-specific pretraining on large conversational datasets yields substantial gains over traditional language modeling (LM) pretraining…