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Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems
Conversational explainable artificial intelligence (ConvXAI) systems based on large language models (LLMs) have garnered considerable …
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PolBiX: Detecting LLMs' Political Bias in Fact-Checking through X-phemisms
Large Language Models are increasingly used in applications requiring objective assessment, which could be compromised by political …
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PolBiX: Detecting LLMs' Political Bias in Fact-Checking through X-phemisms
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
Counterfactual examples are widely used in natural language processing (NLP) as valuable data to improve models, and in explainable …
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Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution
In this work, we reimagine classical probing to evaluate knowledge transfer from simple source to more complex target tasks. Instead of …
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Entity Linking using LLMs for Automated Product Carbon Footprint Estimation
Growing concerns about climate change and sustainability are driving manufacturers to take significant steps toward reducing their …
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Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
Natural language explanations (NLEs) are vital for elucidating the reasoning behind large language model (LLM) decisions. Many …
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Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level
We present the results of the ninth edition of the Biomedical Translation Task at WMT’24. We released test sets for six language pairs, …
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CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems
Conversational explainable artificial intelligence (ConvXAI) systems based on large language models (LLMs) have garnered significant …
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Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models
In this paper, we investigate the use of large language models (LLMs) to enhance the editorial process of rewriting customer help …
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Conversational XAI and Explanation Dialogues
My main research interest is human-centric explainability, i.e., making language models more interpretable by building applications …
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