Papers with human and machine intelligence
Do Androids Question Electric Sheep? A Multi-Agent Cognitive Simulation of Philosophical Reflection on Hybrid Table Reasoning (2025.acl-srw)
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| Challenge: | Existing studies have observed that LLMs are wise enough to be thinkers of philosophical reflection. |
| Approach: | They conduct an exploratory simulation to investigate whether LLMs are wise enough to be thinkers of philosophical reflection. |
| Outcome: | The proposed frameworks underperform simpler end-to-end approaches, but they tend to overthink . the results shed light on a fundamental challenge shared by both human and machine intelligence . |
MixQG: Neural Question Generation with Mixed Answer Types (2022.findings-naacl)
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| Challenge: | Existing neural question generation approaches focus on short factoid type of answers. |
| Approach: | They propose a neural question generator that trains a single generative model by combining multiple question types with different answer types. |
| Outcome: | The proposed model outperforms existing models in both seen and unseen domains and can generate questions with different cognitive levels when conditioned on different answer types. |
Less is More: Attention Supervision with Counterfactuals for Text Classification (2020.emnlp-main)
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| Challenge: | Specifically, we explore the advantage of counterfactual reasoning, over associative reasoning . Adding human supervision to attention has been shown to improve model predictions and explanations . |
| Approach: | They propose to use machine-augmented human attention supervision to enhance model quality. |
| Outcome: | The proposed method is more effective than existing methods requiring higher annotation cost . the proposed method can be trained to generate similar attention to human supervision . |