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Natural Language Processing

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Natural Language Processing

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Research Frontiers in Commonsense Reasoning in Language Models

Enhancing language models'' ability to perform common-sense reasoning tasks requiring world knowledge and implicit reasoning.

Implicit Causality and Counterfactual Reasoning in Neural Language
Embodied Knowledge: Grounding Abstract Concepts in Language Models
Social Commonsense and Theory of Mind in Conversational AI
Temporal Reasoning and Event Sequencing Beyond Surface Patterns
Navigating Physical Constraints in Language Model Semantics
Common Sense Gaps: Bridging Knowledge Acquisition and Transfer
Pragmatic Inference and Hidden Communicative Intent
Commonsense Contradiction Detection Across Knowledge Domains
Causal Chain Inference in Compositional Reasoning Tasks
Cultural and Contextual Variance in Commonsense Knowledge Representation

All Natural Language Processing PhD categories