[LOGOS] LOGOS S'25 Meetup Dates

[Emiliano De Cristofaro]

Hi Everyone,

The first meetup for the Spring quarter will be led by Arman Irani, please
see details below.

Cheers,
Emiliano

TITLE
Embedded Biases: The Impact of Cognitive Biases on Argument Similarity

SPEAKER
Arman Irani, PhD Candidate at UCR

WHERE/WHEN
Wed, April 2nd, 2pm
In Person: WCH 203
Zoom: link
<https://ucr.zoom.us/j/92699528206?pwd=oo5ujmYE79Wqywca0CaaQBd1WAhUFz.1>

ABSTRACT
How can we determine argument similarity by focusing on foundational
positional rhetoric rather than being misled by surface-level semantic
resemblances? Humans naturally conflate argument similarity based on
framing, wording, and emotional resonance. Consequently, these cognitive
biases likely permeate training corpora that are the underlying foundation
of modern text embedding models, perpetuating superficial similarity
assessments rather than capturing deeper positional alignments. This work
systematically applies a cognitive bias framework to explain embedding
models' vulnerability to incorrectly assessing positional argument
similarity. We contribute (1) a novel dataset of 8,000 argument pairs for
evaluating and benchmarking positional argument similarity, (2) a
comprehensive assessment of popular text embedding models vulnerability to
cognitive bias misalignment, and (3) effective debiasing interventions. Our
cognitive science approach provides post-hoc interpretability for black-box
text embedding model misjudgments. Through this interdisciplinary lens, we
demonstrate how cognitive science theories can enhance positionally-aware
argument similarity assessment in computational argumentation, highlighting
critical areas for future development.
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