Papers by Anu Singh
HyQE: Ranking Contexts with Hypothetical Query Embeddings (2024.findings-emnlp)
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| Challenge: | Existing approaches to rank contexts rely on similarity between contexts and queries, but these methods are limited by the number of candidate contexts. |
| Approach: | They propose a scalable ranking framework that combines embedding similarity and large language models without fine-tuning. |
| Outcome: | The proposed framework improves the performance across multiple benchmarks. |
A Typology of Errors for User Utterances in Chatbots (2024.lrec-main)
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| Challenge: | Non-prescriptive language uses in chatbot communication create challenges for Semantic Parsing (SP). |
| Approach: | They propose a typology based on a sample of non-prescriptive language uses mined from a domain-specific chatbot log and a framework for automatically mapping these errors to the typology. |
| Outcome: | The proposed typology can be extended to include new classes of errors across different domains and user demographics. |