Mohammad Aliannejadi

We present ChatR1, a reasoning framework based on reinforcement learning (RL) for conversational question answering (CQA). Reasoning plays an important role in CQA, where user intent evolves across dialogue turns, and utterances are often underspecified, requiring contextual interpretation, query...

Recent work has suggested that adding irrelevant documents to the input of retrieval-augmented generation (RAG) systems can improve question-answering performance, a phenomenon referred to as the '' Power of Noise. '' This motivated investigations into the role of noise in information retrieval....

The Hypencoder, proposed by Killingback et al., is a retrieval framework that replaces the fixed inner-product scoring function used in standard bi-encoders with a query-specific neural network (the $q$-net), whose weights are generated by a hypernetwork from the contextualized query embeddings....

Previous query performance prediction (QPP) methods typically return a single scalar value and do not require the predicted values to approximate a specific IR evaluation measure, leading to drawbacks: (i) a single scalar is insufficient to accurately represent different IR measures, especially w...

Shared tasks offer excellent opportunities for advancing scientific fields and standardizing evaluation methods through collaborative community efforts. With the recent paradigm shift in information retrieval from keyword-based to conversational search, shared tasks can serve as promising sources...

Conversational search agents, especially with the advent of large language models, have developed into useful tools to satisfy complex information needs of their users. Former research has shown that personalization (i.e., adaptation of agent responses to the preferences and traits of the user) c...

Deep research agents have emerged as LLM-based systems designed to perform multi-step information seeking and reasoning over large, open-domain sources to answer complex questions by synthesizing information from multiple information sources. Given the complexity of the task and despite various r...