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Christopher Malon

3 accepted papers

2025

On Synthesizing Data for Context Attribution in Question Answering

ACL 2025long

Question Answering (QA) accounts for a significant portion of LLM usage in the wild”. However, LLMs sometimes produce false or misleading responses, also known as hallucinations”. Therefore, grounding the generated answers in contextually provided information—i.e., providing evidence for the generat…

Cited by 0SourcePDFScholar
2024

Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models

EMNLP 2024main

When performing complex multi-step reasoning tasks, the ability of Large Language Models (LLMs) to derive structured intermediate proof steps is important for ensuring that the models truly perform the desired reasoning and for improving models’ explainability. This paper is centred around a focused…

2021

Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning

EMNLP 2021finding

Image captioning systems are expected to have the ability to combine individual concepts when describing scenes with concept combinations that are not observed during training. In spite of significant progress in image captioning with the help of the autoregressive generation framework, current appr…