Papers by Tom Jain
1-PAGER: One Pass Answer Generation and Evidence Retrieval (2023.findings-emnlp)
Copied to clipboard
| Challenge: | 1-Pager is the first system that answers a question and retrieves evidence using a single Transformer-based model and decoding process. |
| Approach: | They propose a system that partitions the corpus using constrained decoding to select a document and answer string, and a method that uses a single Transformer-based model to generate evidence. |
| Outcome: | The proposed system outperforms the equivalent ‘closed-book’ question answering model by grounding predictions in evidence corpus. |
From RAG to Riches: Retrieval Interlaced with Sequence Generation (2024.emnlp-main)
Copied to clipboard
| Challenge: | RICHES interleaves retrieval with sequence generation tasks . traditional approaches chain LLM generation with separate retrieval model . |
| Approach: | They propose a novel approach that interleaves retrieval with sequence generation tasks . they propose attributed evidence, multi-hop retrievals and interleave thoughts to plan on what to retrieve next . |
| Outcome: | The proposed approach can work with any Instruction-tuned model, without additional training. |
Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy (C18-1)
Copied to clipboard
Deepak Gupta, Rajkumar Pujari, Asif Ekbal, Pushpak Bhattacharyya, Anutosh Maitra, Tom Jain, Shubhashis Sengupta
| Challenge: | Existing QA systems that answer factual questions with short answers are rare in practice. |
| Approach: | They propose a proposed two-layered taxonomy technique for semantic question matching . they augment state-of-the-art deep learning models with question classes from a deep learning based question classifier . |
| Outcome: | The proposed technique achieves state-of-the-art on an open-domain dataset. |