6 papers · 1 filter
Persona-Guided LLM Agents for Task-Oriented Dialogue
Maryam Shoaeinaeini, Brent Harrison, A. B. Siddique
Prior work has shown that large language models (LLMs) can express diverse personality traits in open-ended text generation. However, it remains unclear whether they can do so in a…
LangFIR: Discovering Sparse Language-Specific Features from Monolingual Data for Language Steering
Sing Hieng Wong, Hassan Sajjad, A. B. Siddique
Large language models (LLMs) show strong multilingual capabilities, yet reliably controlling the language of their outputs remains difficult. Representation-level steering addresse…
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…
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…
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…
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…