Papers by Karuna Bhaila
Soft Prompting for Unlearning in Large Language Models (2025.naacl-long)
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| Challenge: | Existing ethical and safety considerations for large language models are important for deployment . however, some ethical concerns have been raised due to the presence of private, sensitive, or harmful information in the training data. |
| Approach: | They propose a framework that learns prompt tokens that are prepended to a query to induce unlearning in LLMs. |
| Outcome: | The proposed method improves the trade-off between utility and forgetting for text classification and question-answering. |
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models (2025.emnlp-main)
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| Challenge: | Large vision-language models have shown impressive ability in various language tasks, especially with their emergent in-context learning capability. |
| Approach: | They propose a causal reasoning benchmark for multi-modal in-context learning from large vision-language models that incorporates visual inputs. |
| Outcome: | The proposed model outperforms existing models on three visual causal reasoning tasks and demonstrates their strengths and weaknesses. |