1 citations · 4 across the 10 of their papers we have counts for
10 papers
StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs
Shaghayegh Kolli, Timo Cavelius, Nafiseh Nikeghbal +2
Multimodal large language models (MLLMs) are increasingly deployed in personally and societally consequential settings, yet the visual cues that shape how these models judge people…
Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs
Nafiseh Nikeghbal, Amir Hossein Kargaran, Shaghayegh Kolli +1
Standard accuracy benchmarks evaluate whether large language models (LLMs) reach correct answers. However, they do not test whether models maintain that answer when challenged by a…
Neuron-Level Interventions for Gendered and Gender-Neutral Generation in Language Models
Zhiwen You, Nafiseh Nikeghbal, Jana Diesner
Language models (LMs) can produce gendered language and stereotypes even when given neutral prompts. Most prior work on gender bias in LMs primarily examines gender through a binar…
GlotOCR Bench: OCR Models Still Struggle Beyond a Handful of Unicode Scripts
Amir Hossein Kargaran, Nafiseh Nikeghbal, Jana Diesner +2
Optical character recognition (OCR) has advanced rapidly with the rise of vision-language models, yet evaluation has remained concentrated on a small cluster of high- and mid-resou…
Insights from the ICLR Peer Review and Rebuttal Process
Amir Hossein Kargaran, Nafiseh Nikeghbal, Jing Yang +1
Peer review is a cornerstone of scientific publishing, including at premier machine learning conferences such as ICLR. As submission volumes increase, understanding the nature and…
CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs
Nafiseh Nikeghbal, Amir Hossein Kargaran, Jana Diesner
Improvements in model construction, including fortified safety guardrails, allow Large language models (LLMs) to increasingly pass standard safety checks. However, LLMs sometimes s…
MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment
Amir Hossein Kargaran, Ali Modarressi, Nafiseh Nikeghbal +3
English-centric large language models (LLMs) often show strong multilingual capabilities. However, their multilingual performance remains unclear and is under-evaluated for many ot…
GIRT-Model: Automated Generation of Issue Report Templates
Nafiseh Nikeghbal, Amir Hossein Kargaran, Abbas Heydarnoori
Platforms such as GitHub and GitLab introduce Issue Report Templates (IRTs) to enable more effective issue management and better alignment with developer expectations. However, the…
GIRT-Data: Sampling GitHub Issue Report Templates
Nafiseh Nikeghbal, Amir Hossein Kargaran, Abbas Heydarnoori +1
GitHub's issue reports provide developers with valuable information that is essential to the evolution of a software development project. Contributors can use these reports to perf…
MenuCraft: Interactive Menu System Design with Large Language Models
Amir Hossein Kargaran, Nafiseh Nikeghbal, Abbas Heydarnoori +1
Menu system design for user interfaces is a challenging task involving many design options and various human factors. For example, one crucial factor that designers need to conside…