Accepted Papers

Conversational search enables multi-turn interactions between users and systems to fulfill users' complex information needs. During this interaction, the system should understand the users' search intent within the conversational context and then return the relevant information through a flexible, d...

Learned Sparse Retrieval (LSR) techniques use neural machinery to represent queries and documents as learned bags of words. In contrast with other neural retrieval techniques, such as generative retrieval and dense retrieval, LSR has been shown to be a remarkably robust, transferable, and efficient ...

"Uncertainty quantification has gained increasing importance in natural language processing (NLP), offering a conceptual and methodological framework to address critical issues such as hallucinations in the answers of LLMs, detection of low-quality responses, out-of-distribution detection, and reduc...

Information retrieval has long focused on ranking documents by semantic relatedness. Yet many real-world information needs demand more: enforcement of logical constraints, multi-step inference, and synthesis of multiple pieces of evidence. Addressing these requirements is, at its core, a problem of ...

Inverted indexes are the backbone of most large-scale information retrieval systems. Although conceptually simple, high-performance inverted indexes require a deep understanding of low-level system optimizations, compression techniques, and traversal strategies. With the widespread adoption of in-me...

Fairness-aware information retrieval (IR) systems have been receiving more attention. Numerous fairness metrics and algorithms have been proposed. The complexity of fairness and IR systems makes it challenging to provide a systematic summary of the progress that has been made. This complexity calls ...

"This tutorial introduces mechanistic interpretability, a growing research area within the broader interpretability community that seeks to reverse-engineer model components to understand how neural models perform tasks. While this area has rapidly advanced in NLP, yielding insights into the inner w...