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cs.CL2026

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…

cs.CL2026

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2024

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…