Mohammad Aflah Khan

Orcid: 0009-0009-6325-3746

According to our database1, Mohammad Aflah Khan authored at least 12 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications.
CoRR, 2024

Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon.
CoRR, 2024

Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction.
CoRR, 2024

The Duality of Hope: A Critical Examination of Controversial Annotations in HopeEDI.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Probing Critical Learning Dynamics of PLMs for Hate Speech Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.
Proceedings of the International Conference on Machine Learning, 2023

Beyond Negativity: Re-Analysis and Follow-Up Experiments on Hope Speech Detection.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

The Art of Embedding Fusion: Optimizing Hate Speech Detection.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection.
Proceedings of the Working Notes of FIRE 2023, 2023

2022
Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022


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