Papers with interactive approach
Geo-Cultural Representation and Inclusion in Language Technologies (2024.lrec-tutorials)
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| Challenge: | audi et al.: training and evaluation of language models rely on semi-structured data that is annotated by humans . e-learning tools do not integrate rich and diverse community perspectives into language technologies . |
| Approach: | They will examine how different socio-cultural perspectives influence what is taken as ground truth by models. |
| Outcome: | This tutorial examines how different socio-cultural perspectives influence representations of global concepts. |
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning (D19-3)
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Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych
| Challenge: | Existing systems for technologyenhanced learning address skills on recalling, explaining, and applying knowledge, e.g., in automatically generated language learning exercises and math word problems. |
| Approach: | They propose to leverage a NLP model to support experts in their further data annotation with automatic suggestions and provide automatic feedback for students. |
| Outcome: | The proposed system improves on two user studies on diagnostic reasoning in medicine and teacher education and can be extended to further use cases. |
Synchronously Generating Two Languages with Interactive Decoding (D19-1)
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| Challenge: | Experimental results show that multilingual NMT models handle multiple language pairs in one model. |
| Approach: | They propose an interactive approach to translate a source language into two different languages simultaneously and interactively. |
| Outcome: | The proposed approach improves on IWSLT and WMT datasets. |
Active Learning for Rumor Identification on Social Media (2021.findings-emnlp)
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| Challenge: | Existing methods for rumor tracking depend on a significant amount of labeled data. |
| Approach: | They propose an Active-Transfer Learning strategy to identify rumors with limited amount of annotated data. |
| Outcome: | The proposed approach achieves faster convergence in terms of the F-score while requiring fewer annotated samples (42% of the whole dataset for the best model). |
Mind the Gap: Static and Interactive Evaluations of Large Audio Models (2025.acl-long)
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Minzhi Li, William Barr Held, Michael J Ryan, Kunat Pipatanakul, Potsawee Manakul, Hao Zhu, Diyi Yang
| Challenge: | Recent work has focused on evaluating large audio models (LAMs) that directly accept audio inputs. |
| Approach: | They propose an interactive approach to evaluate large audio models and collect 7,500 LAM interactions from 484 participants. |
| Outcome: | The proposed model is based on a set of user-generated audio interfaces with 7,500 interactions from 484 participants. |
Prototype-based Prompt-Instance Interaction with Causal Intervention for Few-shot Event Detection (2024.lrec-main)
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| Challenge: | Few-shot Event Detection (FSED) requires limited labeled data and expensive manual labeling. |
| Approach: | They propose a prototype-based prompt-instance Interaction with causal Intervention model to utilize both prompts and verbalizers and effectively eliminate all biases. |
| Outcome: | The proposed model utilizes both prompts and verbalizers and eliminates all biases on RAMS and ACE datasets. |