Dhairya Dalal

Orcid: 0000-0003-0279-234X

According to our database1, Dhairya Dalal authored at least 11 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Causely: A Causal Intelligence Layer for Enterprise AI A Benchmark Study on SRE and Reliability Workflows.
CoRR, May, 2026

Mitigating Content Effects on Reasoning in Language Models Through Fine-Grained Activation Steering.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
LLMs and Emotional Intelligence: Evaluating Emotional Understanding Through Psychometric Tools.
Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

RAGCol: RAG-Based Automatic Video Colorization Through Text Caption Generation and Knowledge Enrichment.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Towards Semantic Integration of Opinions: Unified Opinion Concepts Ontology and Extraction Task.
Proceedings of the 5th Conference on Language, Data and Knowledge, 2025

PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

2024
Inference to the Best Explanation in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
CALM-Bench: A Multi-task Benchmark for Evaluating Causality-Aware Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2021
A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval.
Proceedings of the Working Notes of FIRE 2021, 2021

Enhancing Multiple-Choice Question Answering with Causal Knowledge.
Proceedings of Deep Learning Inside Out: The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2021

2020
Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis.
CoRR, 2020


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