3 papers
cs.CL2026
CoMMET: To What Extent Can LLMs Perform Theory of Mind Tasks?
Ruirui Chen, Weifeng Jiang, Chengwei Qin +1
Theory of Mind (ToM)-the ability to reason about the mental states of oneself and others-is a cornerstone of human social intelligence. As Large Language Models (LLMs) become ubiqu…
cs.CL2025
How do Transformer Embeddings Represent Compositions? A Functional Analysis
Aishik Nagar, Ishaan Singh Rawal, Mansi Dhanania +1
Compositionality is a key aspect of human intelligence, essential for reasoning and generalization. While transformer-based models have become the de facto standard for many langua…
cs.LG2024
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios
Shantanu Jaiswal, Debaditya Roy, Basura Fernando +1
Complex visual reasoning and question answering (VQA) is a challenging task that requires compositional multi-step processing and higher-level reasoning capabilities beyond the imm…