43 citations · 51 across the 5 of their papers we have counts for
6 papers
Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
Helia Hashemi, Victor Rühle, Saravan Rajmohan
Reasoning models have gained significant attention due to their strong performance, particularly when enhanced with retrieval augmentation. However, these models often incur high c…
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
Helia Hashemi, Jason Eisner, Corby Rosset +2
This paper introduces a framework for the automated evaluation of natural language texts. A manually constructed rubric describes how to assess multiple dimensions of interest. To…
Dense Retrieval Adaptation using Target Domain Description
Helia Hashemi, Yong Zhuang, Sachith Sri Ram Kothur +3
In information retrieval (IR), domain adaptation is the process of adapting a retrieval model to a new domain whose data distribution is different from the source domain. Existing…
Current Challenges and Future Directions in Podcast Information Access
Rosie Jones, Hamed Zamani, Markus Schedl +11
Podcasts are spoken documents across a wide-range of genres and styles, with growing listenership across the world, and a rapidly lowering barrier to entry for both listeners and c…
Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search
Helia Hashemi, Hamed Zamani, W. Bruce Croft
Asking clarifying questions in response to ambiguous or faceted queries has been recognized as a useful technique for various information retrieval systems, especially conversation…
ANTIQUE: A Non-Factoid Question Answering Benchmark
Helia Hashemi, Mohammad Aliannejadi, Hamed Zamani +1
Considering the widespread use of mobile and voice search, answer passage retrieval for non-factoid questions plays a critical role in modern information retrieval systems. Despite…