A survey of reasoning with foundation models
Reasoning, a crucial ability for complex problem-solving, plays a pivotal role in various real-
world settings such as negotiation, medical diagnosis, and criminal investigation. It serves …
world settings such as negotiation, medical diagnosis, and criminal investigation. It serves …
Beam retrieval: General end-to-end retrieval for multi-hop question answering
J Zhang, H Zhang, D Zhang, Y Liu, S Huang - arXiv preprint arXiv …, 2023 - arxiv.org
Multi-hop QA involves finding multiple relevant passages and step-by-step reasoning to
answer complex questions. While previous approaches have developed retrieval modules …
answer complex questions. While previous approaches have developed retrieval modules …
CRUSH4SQL: Collective retrieval using schema hallucination for Text2SQL
M Kothyari, D Dhingra, S Sarawagi… - arXiv preprint arXiv …, 2023 - arxiv.org
Existing Text-to-SQL generators require the entire schema to be encoded with the user text.
This is expensive or impractical for large databases with tens of thousands of columns …
This is expensive or impractical for large databases with tens of thousands of columns …
GenDec: A robust generative Question-decomposition method for Multi-hop reasoning
Multi-hop QA (MHQA) involves step-by-step reasoning to answer complex questions and
find multiple relevant supporting facts. However, Existing large language models'(LLMs) …
find multiple relevant supporting facts. However, Existing large language models'(LLMs) …
Relational Programming with Foundational Models
Foundation models have vast potential to enable diverse AI applications. The powerful yet
incomplete nature of these models has spurred a wide range of mechanisms to augment …
incomplete nature of these models has spurred a wide range of mechanisms to augment …
Subgraph-Based Attention Network for Multi-Hop Question Answering
C Gong, Z Wei, X Wang, R Wang, Y Li… - 2024 International Joint …, 2024 - ieeexplore.ieee.org
Multi-hop question answering (QA) requires the model to integrate multiple evidential
fragments scattered in the document to infer the answer. At present, while graph neural …
fragments scattered in the document to infer the answer. At present, while graph neural …
Multi-hop Attention GNN with Answer-Evidence Contrastive Loss for Multi-hop QA
N Yang, M Yang - 2023 International Joint Conference on …, 2023 - ieeexplore.ieee.org
Multi-hop question answering (QA) is a challenging task in natural language processing
(NLP), which requires multi-step reasoning over the sentences from several passages and …
(NLP), which requires multi-step reasoning over the sentences from several passages and …