Papers with GAMA
Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks (2024.naacl-long)
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| Challenge: | Existing vision-language models focus on salient attributes but ignore contextualized nuances, resulting in gender bias. |
| Approach: | They propose a task-agnostic generation framework to mitigate gender bias in vision-language models. |
| Outcome: | The proposed framework can mitigate gender bias in vision-language models . it yields all-sided but gender-obfuscated narratives, which prevents concentration on localized image features, especially gender attributes. |
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities (2024.emnlp-main)
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Sreyan Ghosh, Sonal Kumar, Ashish Seth, Chandra Kiran Evuru, Utkarsh Tyagi, S Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha
| Challenge: | We propose a novel large-scale audio-language model with advanced audio understanding and reasoning abilities. |
| Approach: | They propose a general-purpose large audio-language model with advanced audio understanding and reasoning abilities that integrates an LLM with multiple types of audio representations. |
| Outcome: | The proposed model outperforms existing models on audio understanding tasks by 1%-84%. |