Papers with retrieval-based systems
Answer Generation for Retrieval-based Question Answering Systems (2021.findings-acl)
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| Challenge: | Question Answering systems are a core component of many commercial applications . answer sentence selection (AS2) models are trained to select the best answer sentence . |
| Approach: | They propose to train a sequence to sequence transformer model to generate an answer from a set of candidates. |
| Outcome: | The proposed model improves accuracy by 32 points over the state-of-the-art model on English AS2 datasets. |
Measuring Retrieval Complexity in Question Answering Systems (2024.findings-acl)
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| Challenge: | a new metric, retrieval complexity (RC), measures the difficulty of answering questions. |
| Approach: | They propose a retrieval complexity metric conditioned on the completeness of retrieved documents . they propose an unsupervised pipeline to measure RC given an arbitrary retrieval system . |
| Outcome: | The proposed pipeline measures RC more accurately than alternative estimators on six challenging QA benchmarks. |
Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning (2025.emnlp-main)
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| Challenge: | Prior work has framed this task as a textual inference task by retrieving relevant content fragments and inferring conclusions from them. |
| Approach: | They propose to extract structured numerical evidence and apply domain knowledge informed logic to derive outcome-specific conclusions. |
| Outcome: | The proposed approach outperforms general-purpose LLMs of over 400B parameters and achieves a 21% improvement in F1 score over retrieval-based systems. |