added paper tags functionality

content/publication/chase2023realism.md

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 publication_short = "_IEEE World Haptics Conference (WHC)_"
 publication = "Chase E., Gerstenberg T., Follmer S. (2023). Realism of Visual, Auditory, and Haptic Cues in Phenomenal Causality. _IEEE World Haptics Conference (WHC)_."
 abstract = "Interacting in real environments, such as manipulating objects, involves multisensory information. However, little is known about how multisensory cue characteristics help us determine what has occurred in a scene, including whether two events were causally linked. In virtual environments, the number of sensory modalities present and levels of realism often vary. In this work, we explore what role multisensory information and physical realism play in people's causal perception. So far, haptic cues have rarely been studied in causal perception. Here, we combined visual, auditory, and haptic cues in a psychophysical study in which participants were asked to judge whether one billiard ball caused another to move. We manipulated the temporal delay between cause and effect events, and the physical realism of each cue. While temporal delays generally decreased causal judgments, the number of multisensory cues and their physical realism increased causal judgments. We highlight the implications of this work for building immersive environments."
+tags = ["Best Paper Award"]
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content/publication/gandhi2023understanding.md

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 publication_short = "_arXiv_"
 publication = "Gandhi K., Fränken J., Gerstenberg T., Goodman N. D. (2023). Understanding Social Reasoning in Language Models with Language Models. In _arXiv_."
 abstract = "As Large Language Models (LLMs) become increasingly integrated into our everyday lives, understanding their ability to comprehend human mental states becomes critical for ensuring effective interactions. However, despite the recent attempts to assess the Theory-of-Mind (ToM) reasoning capabilities of LLMs, the degree to which these models can align with human ToM remains a nuanced topic of exploration. This is primarily due to two distinct challenges: (1) the presence of inconsistent results from previous evaluations, and (2) concerns surrounding the validity of existing evaluation methodologies. To address these challenges, we present a novel framework for procedurally generating evaluations with LLMs by populating causal templates. Using our framework, we create a new social reasoning benchmark (BigToM) for LLMs which consists of 25 controls and 5,000 model-written evaluations. We find that human participants rate the quality of our benchmark higher than previous crowd-sourced evaluations and comparable to expert-written evaluations. Using BigToM, we evaluate the social reasoning capabilities of a variety of LLMs and compare model performances with human performance. Our results suggest that GPT4 has ToM capabilities that mirror human inference patterns, though less reliable, while other LLMs struggle."
+tags = ["Spotlight at NeurIPS 2023"]
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docs/index.html

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   <a href="https://cicl.stanford.edu/publication/zhou2023jenga/" itemprop="name">Mental Jenga: A counterfactual simulation model of causal judgments about physical support</a>.
   <em>Journal of Experimental Psychology: General</em>.
 
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   <a href="https://cicl.stanford.edu/publication/gerstenberg2022hypothetical/" itemprop="name">What would have happened? Counterfactuals, hypotheticals, and causal judgments</a>.
   <em>Philosophical Transactions of the Royal Society B: Biological Sciences</em>.
 
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   <a href="https://cicl.stanford.edu/publication/kirfel2022inference/" itemprop="name">Inference from explanation</a>.
   <em>Journal of Experimental Psychology: General</em>.
 
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   <a href="https://cicl.stanford.edu/publication/gerstenberg2021csm/" itemprop="name">A counterfactual simulation model of causal judgments for physical events</a>.
   <em>Psychological Review</em>.
 
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   <a href="https://cicl.stanford.edu/publication/gerstenberg2017tracking/" itemprop="name">Eye-tracking causality</a>.
   <em>Psychological Science</em>.
 
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   <a href="https://cicl.stanford.edu/publication/gerstenberg2017theories/" itemprop="name">Intuitive Theories</a>.
   <em>Oxford Handbook of Causal Reasoning</em>.
 
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docs/member/ari_beller/index.html

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   <a href="https://cicl.stanford.edu/publication/beller2023language/" itemprop="name">A counterfactual simulation model of causal language</a>.
   <em>PsyArXiv</em>.
 
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   <a href="https://cicl.stanford.edu/publication/beller2022looking/" itemprop="name">Looking into the past: Eye-tracking mental simulation in physical inference</a>.
   <em>Cognitive Science Proceedings</em>.
 
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   <a href="https://cicl.stanford.edu/publication/beller2020language/" itemprop="name">The language of causation</a>.
   <em>Proceedings of the 42nd Annual Conference of the Cognitive Science Society</em>.
 
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