8 citations · 13 across the 11 of their papers we have counts for
7 papers · 1 filter
GAPS: Dimension-Level Gates for Conditional Activation Steering
Moghis Fereidouni, Muhammad Umair Haider, Hassan Sajjad +1
Activation steering suppresses undesired behaviors in language models by adding a steering vector to the hidden state during generation. Recent conditional methods such as CAST and…
Security and Privacy Taxonomy Generation from Mobile App Reviews
Moghis Fereidouni, Vinaik Chhetri, Krishna Upadhyay +2
Mobile app reviews are a rich, continuously renewing source of how users experience privacy and security, yet existing taxonomies of these concerns are hand-crafted and cannot keep…
Evaluating and Enhancing Out-of-Domain Generalization of Task-Oriented Dialog Systems for Task Completion without Turn-level Dialog Annotations
Adib Mosharrof, Moghis Fereidouni, A. B. Siddique
Traditional task-oriented dialog (ToD) systems rely heavily on labor-intensive turn-level annotations, such as dialogue states and policy labels, for training. This work explores w…
Improving Multi-turn Task Completion in Task-Oriented Dialog Systems via Prompt Chaining and Fine-Grained Feedback
Moghis Fereidouni, Md Sajid Ahmed, Adib Mosharrof +1
Task-oriented dialog (TOD) systems facilitate users in accomplishing complex, multi-turn tasks through natural language. While instruction-tuned large language models (LLMs) have d…
MobileConvRec: A Conversational Dataset for Mobile Apps Recommendations
Srijata Maji, Moghis Fereidouni, Vinaik Chhetri +2
Existing recommendation systems have focused on two paradigms: 1- historical user-item interaction-based recommendations and 2- conversational recommendations. Conversational recom…
Grounded Language Agent for Product Search via Intelligent Web Interactions
Moghis Fereidouni, Adib Mosharrof, A. B. Siddique
The development of agents powered by large language models (LLMs) to accomplish complex high-level user intents, has attracted significant attention recently. However, employing LL…
Toward Open-domain Slot Filling via Self-supervised Co-training
Adib Mosharrof, Moghis Fereidouni, A. B. Siddique
Slot filling is one of the critical tasks in modern conversational systems. The majority of existing literature employs supervised learning methods, which require labeled training…