Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis. - Dhairya Dalal; Byron V. Galbraith (CoRR, 2020)

Enhancing Multiple-Choice Question Answering with Causal Knowledge. - Dhairya Dalal; Mihael Arcan; Paul Buitelaar (DeeLIO@NAACL-HLT, 2021)

A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval. - Dhairya Dalal; Sharmi Dev Gupta; Bentolhoda Binaei (FIRE (Working Notes), 2021)

CALM-Bench: A Multi-task Benchmark for Evaluating Causality-Aware Language Models. - Dhairya Dalal; Paul Buitelaar; Mihael Arcan (EACL (Findings), 2023)

Inference to the Best Explanation in Large Language Models. - Dhairya Dalal; Marco Valentino; André Freitas; Paul Buitelaar (ACL (1), 2024)

RAGCol: RAG-Based Automatic Video Colorization Through Text Caption Generation and Knowledge Enrichment. - Rory Ward; Dhairya Dalal; Paul Buitelaar; John G. Breslin (SAC, 2025)

LLMs and Emotional Intelligence: Evaluating Emotional Understanding Through Psychometric Tools. - Dhairya Dalal; Gaurav Negi; Davide Picca (UMAP, 2025)

PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement. - Xin Quan; Marco Valentino; Danilo S. Carvalho; Dhairya Dalal; André Freitas (CoRR, 2025)

Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering. - Marco Valentino; Geonhee Kim; Dhairya Dalal; Zhixue Zhao; André Freitas (CoRR, 2025)

Towards Semantic Integration of Opinions: Unified Opinion Concepts Ontology and Extraction Task. - Gaurav Negi; Dhairya Dalal; Omnia Zayed; Paul Buitelaar (CoRR, 2025)