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Aditya Kalyanpur

2 accepted papers

2025

From Generating Answers to Building Explanations: Integrating Multi-Round RAG and Causal Modeling for Scientific QA

NAACL 2025industry

Application of LLMs for complex causal question answering can be stymied by their opacity and propensity for hallucination. Although recent approaches such as Retrieval Augmented Generation and Chain of Thought prompting have improved reliability, we argue current approaches are insufficient and fur…

Cited by 0SourcePDFScholar
2022

Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations

AAAI 2022technical

Traditional symbolic reasoning engines, while attractive for their precision and explicability, have a few major drawbacks: the use of brittle inference procedures that rely on exact matching (unification) of logical terms, an inability to deal with uncertainty, and the need for a precompiled rule-b…

Cited by 22SourcePDFScholar