Papers by Tillman Weyde
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering (2023.findings-eacl)
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| Challenge: | Current explanation generation models are trained to select the best answers from Multiple-Choice questions or to classify single-word answers to a predetermined vocabulary. |
| Approach: | They propose a multitask learning approach towards a Unified Model for Answer and Explanation generation (UMAE) UMAE models surpass the prior state-of-the-art answer accuracy on A-OKVQA by 10 15%, show competitive results on OK-VQA and VCR, and demonstrate promising out-of domain performance on VQA-X. |
| Outcome: | The proposed model outperforms the state-of-the-art model on A-OKVQA and VCR and shows promising out-of domain performance on VQA-X. |
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks (2023.eacl-srw)
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| Challenge: | Existing studies have shown that linear RNNs with unbounded activation functions are difficult to train effectively and do not learn exact counting behaviour. |
| Approach: | They propose to identify the necessary conditions for a linear single-cell RNN to have the ability to count and to investigate how these conditions relate to the empirical behaviour of trained linear RNN models. |
| Outcome: | The proposed model is a linear single-cell RNN with an unbounded activation function and a Dyck-1-like balanced bracket language. |
KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking (2026.eacl-long)
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| Challenge: | Claim verification is a core module in automated fact-checking systems, tasked with determining claim veracity using retrieved evidence. |
| Approach: | They propose a knowledge graph-based contrastive reasoning method that constructs a graph from claims and associated reports and formulates contextually relevant contrastive questions based on the knowledge graph structure. |
| Outcome: | The proposed method improves accuracy on two real-world datasets and is compared with existing methods. |