Towards a holistic landscape of situated theory of mind in large language models
Large Language Models (LLMs) have generated considerable interest and debate
regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal …
regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal …
Few-shot character understanding in movies as an assessment to meta-learning of theory-of-mind
When reading a story, humans can quickly understand new fictional characters with a few
observations, mainly by drawing analogies to fictional and real people they already know …
observations, mainly by drawing analogies to fictional and real people they already know …
Tomchallenges: A principle-guided dataset and diverse evaluation tasks for exploring theory of mind
Theory of Mind (ToM), the capacity to comprehend the mental states of distinct individuals, is
essential for numerous practical applications. With the development of large language …
essential for numerous practical applications. With the development of large language …
Minddial: Enhancing conversational agents with theory-of-mind for common ground alignment and negotiation
Humans talk in daily conversations while aligning and negotiating the expressed meanings
or common ground. Despite the impressive conversational abilities of the large generative …
or common ground. Despite the impressive conversational abilities of the large generative …
Finding common ground: Annotating and predicting common ground in spoken conversations
When we communicate with other humans, we do not simply generate a sequence of words.
Rather, we use our cognitive state (beliefs, desires, intentions) and our model of the …
Rather, we use our cognitive state (beliefs, desires, intentions) and our model of the …
Probing neural language models for understanding of words of estimative probability
Words of estimative probability (WEP) are expressions of a statement's plausibility (probably,
maybe, likely, doubt, likely, unlikely, impossible...). Multiple surveys demonstrate the …
maybe, likely, doubt, likely, unlikely, impossible...). Multiple surveys demonstrate the …
[HTML][HTML] Knowledge representation and acquisition in the era of large language models: Reflections on learning to reason via PAC-Semantics
Human beings are known for their remarkable ability to comprehend, analyse, and interpret
common sense knowledge. This ability is critical for exhibiting intelligent behaviour, often …
common sense knowledge. This ability is critical for exhibiting intelligent behaviour, often …
Tom-lm: Delegating theory of mind reasoning to external symbolic executors in large language models
Abstract Theory of Mind (ToM) refers to the ability of individuals to attribute mental states to
others. While Large Language Models (LLMs) have shown some promise with ToM ability …
others. While Large Language Models (LLMs) have shown some promise with ToM ability …
tasksource: A large collection of nlp tasks with a structured dataset preprocessing framework
D Sileo - Proceedings of the 2024 Joint International Conference …, 2024 - aclanthology.org
Abstract The HuggingFace Datasets Hub hosts thousands of datasets, offering exciting
opportunities for language model training and evaluation. However, datasets for a specific …
opportunities for language model training and evaluation. However, datasets for a specific …
Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification
The reasoning capabilities of LLMs are currently hotly debated. We examine the issue from
the perspective of claim/rumour verification. We propose the first logical reasoning …
the perspective of claim/rumour verification. We propose the first logical reasoning …