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Found 11 papers, 3 papers with code
Learning with Language-Guided State Abstractions
We describe a framework for using natural language to design state abstractions for imitation learning.
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
In day-to-day communication, people often approximate the truth - for example, rounding the time or omitting details - in order to be maximally helpful to the listener.
Preference-Conditioned Language-Guided Abstraction
We observe that how humans behave reveals how they see the world.
Deep de Finetti: Recovering Topic Distributions from Large Language Models
Large language models (LLMs) can produce long, coherent passages of text, suggesting that LLMs, although trained on next-word prediction, must represent the latent structure that characterizes a document.
Cognitive Architectures for Language Agents
Recent efforts have augmented large language models (LLMs) with external resources (e. g., the Internet) or internal control flows (e. g., prompt chaining) for tasks requiring grounding or reasoning, leading to a new class of language agents.
Words are all you need? Language as an approximation for human similarity judgments
Based on the results of this comprehensive study, we provide a concise guide for researchers interested in collecting or approximating human similarity data.
Linguistic communication as (inverse) reward design
We then define a pragmatic listener which performs inverse reward design by jointly inferring the speaker's latent horizon and rewards.
Predicting Human Similarity Judgments Using Large Language Models
Similarity judgments provide a well-established method for accessing mental representations, with applications in psychology, neuroscience and machine learning.
Extending rational models of communication from beliefs to actions
Speakers communicate to influence their partner's beliefs and shape their actions.
Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation
Nonetheless, a teacher and learner may not always experience or attend to the same aspects of the environment.
Learning Rewards from Linguistic Feedback
The sentiment models outperform the inference network, with the "pragmatic" model approaching human performance.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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