5 papers
ImmigrationReason: A Structured Dataset of U.S. Immigration Appeals for Legal Reasoning Research
Amirhossein Afsharrad, Seyed Shahabeddin Mousavi
Most legal NLP resources draw from federal case law and focus on coarse classification, leaving administrative adjudication, where the vast majority of government decisions occur,…
The Gray Area: Characterizing Moderator Disagreement on Reddit
Shayan Alipour, Shruti Phadke, Seyed Shahabeddin Mousavi +3
Volunteer moderators play a crucial role in sustaining online dialogue, but they often disagree about what should or should not be allowed. In this paper, we study the complexity o…
Evaluating Speech-to-Text x LLM x Text-to-Speech Combinations for AI Interview Systems
Rumi Allbert, Nima Yazdani, Ali Ansari +3
Voice-based conversational AI systems increasingly rely on cascaded architectures that combine speech-to-text (STT), large language models (LLMs), and text-to-speech (TTS) componen…
LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders
Borna Khodabandeh, Amirabbas Afzali, Amirhossein Afsharrad +4
Visual encoders have become fundamental components in modern computer vision pipelines. However, ensuring robustness against adversarial perturbations remains a critical challenge.…
One Goal, Many Challenges: Robust Preference Optimization Amid Content-Aware and Multi-Source Noise
Amirabbas Afzali, Amirhossein Afsharrad, Seyed Shahabeddin Mousavi +1
Large Language Models (LLMs) have made significant strides in generating human-like responses, largely due to preference alignment techniques. However, these methods often assume u…