Papers with end-to-end retrieval system
DIRECT: Directional Relevance in Conversational Trajectories (2026.eacl-industry)
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| Challenge: | Conversational Agents (Agents) often fail to understand how to start a conversation or what to ask next . a novel approach to recommending highly relevant follow-up question suggestions is proposed . |
| Approach: | They propose a method to recommend highly relevant follow-up question suggestions . they use offline QBs to fetch the most-relevant candidate questions . |
| Outcome: | The proposed system produces a ranked list of highly relevant follow-up question recommendations within 1 sec. |
Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2 (2020.emnlp-main)
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| Challenge: | a weakly-supervised method is used for document retrieval tasks . traditional methods are used for ad-hoc querying, but they require large amounts of labeled data . |
| Approach: | They propose a weakly-supervised method for training deep learning models for ad-hoc document retrieval using weak-supervision from the documents in the corpus. |
| Outcome: | The proposed method outperforms state-of-the-art methods on a COVID-19 dataset and two news datasets without the need for labeling data. |